Telecom companies last year spent nearly $295 billion in capital expenditures and over $1 trillion in operating expenditures. These large expenses are due in part to laborious manual processes that telcos face when operating networks that require continuous optimizations. For example, telcos must constantly tune network parameters for tasks — such as transferring calls from one network to another or distributing network traffic across multiple servers — based on the time of day, user behavior, mobility and traffic type. These factors directly affect network performance, user experience and energy consumption. To automate these optimization processes and save costs for telcos across the globe, NVIDIA today unveiled at GTC Paris its first AI Blueprint for telco network configuration. At the blueprint’s core are customized large language models trained specifically on telco network data — as well as the full technical and operational architecture for turning the LLMs into an autonomous, goal-driven AI agent for telcos. Automate Network Configuration With the AI Blueprint NVIDIA AI Blueprints — available on build.nvidia.com — are customizable AI workflow examples. They include reference code, documentation and deployment tools that show enterprise developers how to deliver business value with NVIDIA NIM microservices. The AI Blueprint for telco network configuration — built with BubbleRAN 5G solutions and datasets — enables developers, network engineers and telecom providers to automatically optimize the configuration of network parameters using agentic AI. This can streamline operations, reduce costs and significantly improve service quality by embedding continuous learning and adaptability directly into network infrastructures. Traditionally, network configurations required manual intervention or followed rigid rules to adapt to dynamic network conditions. These approaches limited adaptability and increased operational complexities, costs and inefficiencies. The new blueprint helps shift telco operations from relying on static, rules-based systems to operations based on dynamic, AI-driven automation. It enables developers to build advanced, telco-specific AI agents that make real-time, intelligent decisions and autonomously balance trade-offs — such as network speed versus interference, or energy savings versus utilization — without human input. Powered and Deployed by Industry Leaders Trained on 5G data generated by BubbleRAN, and deployed on the BubbleRAN 5G O-RAN platform, the blueprint provides telcos with insight on how to set various parameters to reach performance goals, like achieving a certain bitrate while choosing an acceptable signal-to-noise ratio — a measure that impacts voice quality and thus user experience. With the new AI Blueprint, network engineers can confidently set initial parameter values and update them as demanded by continuous network changes. Norway-based Telenor Group, which serves over 200 million customers globally, is the first telco to integrate the AI Blueprint for telco network configuration as part of its initiative to deploy intelligent, autonomous networks that meet the performance and agility demands of 5G and beyond. “The blueprint is helping us address configuration challenges and enhance quality of service during network installation,” said Knut Fjellheim, chief technology innovation officer at Telenor Maritime. “Implementing it is part of our push toward network automation and follows the successful deployment of agentic AI for real-time network slicing in a private 5G maritime use case.” Industry Partners Deploy Other NVIDIA-Powered Autonomous Network Technologies The AI Blueprint for telco network configuration is just one of many announcements at NVIDIA GTC Paris showcasing how the telecom industry is using agentic AI to make autonomous networks a reality. Beyond the blueprint, leading telecom companies and solutions providers are tapping into NVIDIA accelerated computing, software and microservices to provide breakthrough innovations poised to vastly improve networks and communications services — accelerating the progress to autonomous networks and improving customer experiences. NTT DATA is powering its agentic platform for telcos with NVIDIA accelerated compute and the NVIDIA AI Enterprise software platform. Its first agentic use case is focused on network alarms management, where NVIDIA NIM microservices help automate and power observability, troubleshooting, anomaly detection and resolution with closed loop ticketing. Tata Consultancy Services is delivering agentic AI solutions for telcos built on NVIDIA DGX Cloud and using NVIDIA AI Enterprise to develop, fine-tune and integrate large telco models into AI agent workflows. These range from billing and revenue assurance, autonomous network management to hybrid edge-cloud distributed inference. For example, the company’s anomaly management agentic AI model includes real-time detection and resolution of network anomalies and service performance optimization. This increases business agility and improves operational efficiencies by up to 40% by eliminating human intensive toils, overheads and cross-departmental silos. Prodapt has introduced an autonomous operations workflow for networks, powered by NVIDIA AI Enterprise, that offers agentic AI capabilities to support autonomous telecom networks. AI agents can autonomously monitor networks, detect anomalies in real time, initiate diagnostics, analyze root causes of issues using historical data and correlation techniques, automatically execute corrective actions, and generate, enrich and assign incident tickets through integrated ticketing systems. Accenture announced its new portfolio of agentic AI solutions for telecommunications through its AI Refinery platform, built on NVIDIA AI Enterprise software and accelerated computing. The first available solution, the NOC Agentic App, boosts network operations center tasks by using a generative AI-driven, nonlinear agentic framework to automate processes such as incident and fault management, root cause analysis and configuration planning. Using the Llama 3.1 70B NVIDIA NIM microservice and the AI Refinery Distiller Framework, the NOC Agentic App orchestrates networks of intelligent agents for faster, more efficient decision-making. Infosys is announcing its agentic autonomous operations platform, called Infosys Smart Network Assurance (ISNA), designed to accelerate telecom operators’ journeys toward fully autonomous network operations. ISNA helps address long-standing operational challenges for telcos — such as limited automation and high average time to repair — with an integrated, AI-driven platform that reduces operational costs by up to 40% and shortens fault resolution times by up to 30%. NVIDIA NIM and NeMo microservices enhance the platform’s reasoning and hallucination-detection capabilities, reduce latency and increase accuracy. Get started with the new blueprint today. Learn more about the latest AI advancements for telecom and other industries at NVIDIA GTC Paris, running through Thursday, June 12, at VivaTech, including a keynote from NVIDIA founder and CEO Jensen Huang and a special address from Ronnie Vasishta, senior vice president of telecom at NVIDIA. Plus, hear from industry leaders in a panel session with Orange, Swisscom, Telenor and NVIDIA.

June 13, 20256 min readAir-Conditioning Can Surprisingly Help the Power Grid during Extreme HeatSwitching on air-conditioning during extreme heat doesn’t have to make us feel guilty—it can actually boost power grid reliability and help bring more renewable energy onlineBy Johanna Mathieu & The Conversation US Imagedepotpro/Getty ImagesThe following essay is reprinted with permission from The Conversation, an online publication covering the latest research.As summer arrives, people are turning on air conditioners in most of the U.S. But if you’re like me, you always feel a little guilty about that. Past generations managed without air conditioning – do I really need it? And how bad is it to use all this electricity for cooling in a warming world?If I leave my air conditioner off, I get too hot. But if everyone turns on their air conditioner at the same time, electricity demand spikes, which can force power grid operators to activate some of the most expensive, and dirtiest, power plants. Sometimes those spikes can ask too much of the grid and lead to brownouts or blackouts.On supporting science journalismIf you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.Research I recently published with a team of scholars makes me feel a little better, though. We have found that it is possible to coordinate the operation of large numbers of home air-conditioning units, balancing supply and demand on the power grid – and without making people endure high temperatures inside their homes.Studies along these lines, using remote control of air conditioners to support the grid, have for many years explored theoretical possibilities like this. However, few approaches have been demonstrated in practice and never for such a high-value application and at this scale. The system we developed not only demonstrated the ability to balance the grid on timescales of seconds, but also proved it was possible to do so without affecting residents’ comfort.The benefits include increasing the reliability of the power grid, which makes it easier for the grid to accept more renewable energy. Our goal is to turn air conditioners from a challenge for the power grid into an asset, supporting a shift away from fossil fuels toward cleaner energy.Adjustable equipmentMy research focuses on batteries, solar panels and electric equipment – such as electric vehicles, water heaters, air conditioners and heat pumps – that can adjust itself to consume different amounts of energy at different times.Originally, the U.S. electric grid was built to transport electricity from large power plants to customers’ homes and businesses. And originally, power plants were large, centralized operations that burned coal or natural gas, or harvested energy from nuclear reactions. These plants were typically always available and could adjust how much power they generated in response to customer demand, so the grid would be balanced between power coming in from producers and being used by consumers.But the grid has changed. There are more renewable energy sources, from which power isn’t always available – like solar panels at night or wind turbines on calm days. And there are the devices and equipment I study. These newer options, called “distributed energy resources,” generate or store energy near where consumers need it – or adjust how much energy they’re using in real time.One aspect of the grid hasn’t changed, though: There’s not much storage built into the system. So every time you turn on a light, for a moment there’s not enough electricity to supply everything that wants it right then: The grid needs a power producer to generate a little more power. And when you turn off a light, there’s a little too much: A power producer needs to ramp down.The way power plants know what real-time power adjustments are needed is by closely monitoring the grid frequency. The goal is to provide electricity at a constant frequency – 60 hertz – at all times. If more power is needed than is being produced, the frequency drops and a power plant boosts output. If there’s too much power being produced, the frequency rises and a power plant slows production a little. These actions, a process called “frequency regulation,” happen in a matter of seconds to keep the grid balanced.This output flexibility, primarily from power plants, is key to keeping the lights on for everyone.Finding new optionsI’m interested in how distributed energy resources can improve flexibility in the grid. They can release more energy, or consume less, to respond to the changing supply or demand, and help balance the grid, ensuring the frequency remains near 60 hertz.Some people fear that doing so might be invasive, giving someone outside your home the ability to control your battery or air conditioner. Therefore, we wanted to see if we could help balance the grid with frequency regulation using home air-conditioning units rather than power plants – without affecting how residents use their appliances or how comfortable they are in their homes.From 2019 to 2023, my group at the University of Michigan tried this approach, in collaboration with researchers at Pecan Street Inc., Los Alamos National Laboratory and the University of California, Berkeley, with funding from the U.S. Department of Energy Advanced Research Projects Agency-Energy.We recruited 100 homeowners in Austin, Texas, to do a real-world test of our system. All the homes had whole-house forced-air cooling systems, which we connected to custom control boards and sensors the owners allowed us to install in their homes. This equipment let us send instructions to the air-conditioning units based on the frequency of the grid.Before I explain how the system worked, I first need to explain how thermostats work. When people set thermostats, they pick a temperature, and the thermostat switches the air-conditioning compressor on and off to maintain the air temperature within a small range around that set point. If the temperature is set at 68 degrees, the thermostat turns the AC on when the temperature is, say, 70, and turns it off when it’s cooled down to, say, 66.Every few seconds, our system slightly changed the timing of air-conditioning compressor switching for some of the 100 air conditioners, causing the units’ aggregate power consumption to change. In this way, our small group of home air conditioners reacted to grid changes the way a power plant would – using more or less energy to balance the grid and keep the frequency near 60 hertz.Moreover, our system was designed to keep home temperatures within the same small temperature range around the set point.Testing the approachWe ran our system in four tests, each lasting one hour. We found two encouraging results.First, the air conditioners were able to provide frequency regulation at least as accurately as a traditional power plant. Therefore, we showed that air conditioners could play a significant role in increasing grid flexibility. But perhaps more importantly – at least in terms of encouraging people to participate in these types of systems – we found that we were able to do so without affecting people’s comfort in their homes.We found that home temperatures did not deviate more than 1.6 Fahrenheit from their set point. Homeowners were allowed to override the controls if they got uncomfortable, but most didn’t. For most tests, we received zero override requests. In the worst case, we received override requests from two of the 100 homes in our test.In practice, this sort of technology could be added to commercially available internet-connected thermostats. In exchange for credits on their energy bills, users could choose to join a service run by the thermostat company, their utility provider or some other third party.Then people could turn on the air conditioning in the summer heat without that pang of guilt, knowing they were helping to make the grid more reliable and more capable of accommodating renewable energy sources – without sacrificing their own comfort in the process.This article was originally published on The Conversation. Read the original article.

Requisition #: 16890 Our Mission: Powering Innovation That Drives Human Advancement When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. Innovate With Ansys, Power Your Career. Summary / Role Purpose The R&D Engineer II contributes to the development of software products and supporting systems. In this role, the R&D Engineer II will collaborate with a team of expert professionals to understand customer requirements and accomplish development objectives. Key Duties and Responsibilities Performs moderately complex development activities, including the design, implementation, maintenance, testing and documentation of software modules and sub-systems Understands and employs best practices Performs moderately complex bug verification, release testing and beta support for assigned products. Researches problems discovered by QA or product support and develops solutions Understands the marketing requirements for a product, including target environment, performance criteria and competitive issues Works under the general supervision of a development manager Minimum Education/Certification Requirements and Experience BS in Computer Science, Applied Mathematics, Engineering, or other natural science disciplines with 3-5 years' experience or MS with minimum 2 years experience Working experience within technical software development proven by academic, research, or industry projects. Good understanding and skills in object-oriented programming Experience with Java and C# / .NET Role can be remote, must be based on the East Coast due to timezone Preferred Qualifications and Skills Experience with C++, Python, in addition to Java and C# / .NET Knowledge of Task-Based Asynchronous design pattern (TAP) Exposure to model-based systems engineering concepts Working knowledge of SysML Know-how on cloud computing technologies like micro-service architectures, RPC frameworks (e.g., gRPC), REST APIs, etc. Knowledge of software security best practices Experience working on an Agile software development team Technical knowledge and experience with various engineering tools and methodologies, such as Finite Element simulation, CAD modeling, and Systems Architecture modelling is a plus Ability to assist more junior developers on an as-needed basis Ability to learn quickly and to collaborate with others in a geographically distributed team Excellent communication and interpersonal skills At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential. We are ONE Ansys. We operate on three key components: our commitments to stakeholders, our values that guide how we work together, and our actions to deliver results. As ONE Ansys, we are powering innovation that drives human advancement Our Commitments:Amaze with innovative products and solutionsMake our customers incredibly successfulAct with integrityEnsure employees thrive and shareholders prosper Our Values:Adaptability: Be open, welcome what's nextCourage: Be courageous, move forward passionatelyGenerosity: Be generous, share, listen, serveAuthenticity: Be you, make us stronger Our Actions:We commit to audacious goalsWe work seamlessly as a teamWe demonstrate masteryWe deliver outstanding resultsVALUES IN ACTION Ansys is committed to powering the people who power human advancement. We believe in creating and nurturing a workplace that supports and welcomes people of all backgrounds; encouraging them to bring their talents and experience to a workplace where they are valued and can thrive. Our culture is grounded in our four core values of adaptability, courage, generosity, and authenticity. Through our behaviors and actions, these values foster higher team performance and greater innovation for our customers. We're proud to offer programs, available to all employees, to further impact innovation and business outcomes, such as employee networks and learning communities that inform solutions for our globally minded customer base. WELCOME WHAT'S NEXT IN YOUR CAREER AT ANSYS At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively, we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high - met by those willing to rise to the occasion and meet those challenges head on. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. Ready to feel inspired? Check out some of our recent customer stories, here and here . At Ansys, it's about the learning, the discovery, and the collaboration. It's about the "what's next" as much as the "mission accomplished." And it's about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics.CREATING A PLACE WE'RE PROUD TO BEAnsys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: Newsweek's Most Loved Workplace globally and in the U.S., Gold Stevie Award Winner, America's Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, and U.K.).For more information, please visit us at Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics.Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. 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The Minions pose during the world premiere of the film "Despicable Me 4" in New York City, June 9, 2024.  (REUTERS/Kena Betancur) NEWYou can now listen to Fox News articles! Welcome to Fox News’ Artificial Intelligence newsletter with the latest AI technology advancements.IN TODAY’S NEWSLETTER:- Major Hollywood studios sue AI company over copyright infringement in landmark move- Meta's Zuckerberg aiming to dominate AI race with recruiting push for new ‘superintelligence’ team: report- OpenAI says this state will play central role in artificial intelligence development The website of Midjourney, an artificial intelligence (AI) capable of creating AI art, is seen on a smartphone on April 3, 2023, in Berlin, Germany. (Thomas Trutschel/Photothek via Getty Images)'PIRACY IS PIRACY': Two major Hollywood studios are suing Midjourney, a popular AI image generator, over its use and distribution of intellectual property.AI RACE: Meta CEO Mark Zuckerberg is reportedly building a team of experts to develop artificial general intelligence (AGI) that can meet or exceed human capabilities.TECH HUB: New York is poised to play a central role in the development of artificial intelligence (AI), OpenAI executives told key business and civic leaders on Tuesday. Attendees watch a presentation during an event on the Apple campus in Cupertino, Calif., Monday, June 9, 2025.  (AP Photo/Jeff Chiu)APPLE FALLING BEHIND: Apple’s annual Worldwide Developers Conference (WWDC) kicked off on Monday and runs through Friday. But the Cupertino-based company is not making us wait until the end. The major announcements have already been made, and there are quite a few. The headliners are new software versions for Macs, iPhones, iPads and Vision. FROM COAL TO CODE: This week, Amazon announced a $20 billion investment in artificial intelligence infrastructure in the form of new data centers, the largest in the commonwealth's history, according to the eCommerce giant.DIGITAL DEFENSE: A growing number of fire departments across the country are turning to artificial intelligence to help detect and respond to wildfires more quickly. Rep. Darin LaHood, R-Ill., leaves the House Republican Conference meeting at the Capitol Hill Club in Washington on Tuesday, May 17, 2022.  (Bill Clark/CQ-Roll Call, Inc via Getty Images)SHIELD FROM BEIJING: Rep. Darin LaHood, R-Ill., is introducing a new bill Thursday imploring the National Security Administration (NSA) to develop an "AI security playbook" to stay ahead of threats from China and other foreign adversaries. ROBOT RALLY PARTNER: Finding a reliable tennis partner who matches your energy and skill level can be a challenge. Now, with Tenniix, an artificial intelligence-powered tennis robot from T-Apex, players of all abilities have a new way to practice and improve. DIGITAL DANGER ZONE: Scam ads on Facebook have evolved beyond the days of misspelled headlines and sketchy product photos. Today, many are powered by artificial intelligence, fueled by deepfake technology and distributed at scale through Facebook’s own ad system.  Fairfield, Ohio, USA - February 25, 2011 : Chipotle Mexican Grill Logo on brick building. Chipotle is a chain of fast casual restaurants in the United States and Canada that specialize in burritos and tacos. (iStock)'EXPONENTIAL RATE': Artificial intelligence is helping Chipotle rapidly grow its footprint, according to CEO Scott Boatwright. AI TAKEOVER THREAT: The hottest topic nowadays revolves around Artificial Intelligence (AI) and its potential to rapidly and imminently transform the world we live in — economically, socially, politically and even defensively. Regardless of whether you believe that the technology will be able to develop superintelligence and lead a metamorphosis of everything, the possibility that may come to fruition is a catalyst for more far-leftist control.FOLLOW FOX NEWS ON SOCIAL MEDIASIGN UP FOR OUR OTHER NEWSLETTERSDOWNLOAD OUR APPSWATCH FOX NEWS ONLINEFox News GoSTREAM FOX NATIONFox NationStay up to date on the latest AI technology advancements and learn about the challenges and opportunities AI presents now and for the future with Fox News here. This article was written by Fox News staff.

Solar air heating is among the most cost-effective applications of solar thermal energy. These systems are used for space heating and preheating fresh air for ventilation, typically using glazed or unglazed perforated solar collectors. The collectors draw in outside air, heat it using solar energy, and then distribute it through ductwork to meet building heating and fresh air needs. In 2024, Canada led again the world for the at least seventh year in a row in solar air heating adoption. The four key suppliers – Trigo Energies, Conserval Engineering, Matrix Energy, and Aéronergie – reported a combined 26,203 m2 (282,046 ft2) of collector area sold last year. Several of these providers are optimistic about the growing demand. These findings come from the newly released Canadian Solar Thermal Market Survey 2024, commissioned by Natural Resources Canada. Canada is the global leader in solar air heating. The market is driven by a strong network of experienced system suppliers, optimized technologies, and a few small favorable funding programs – especially in the province of Quebec. Architects and developers are increasingly turning to these cost-effective, façade-integrated systems as a practical solution for reducing onsite natural gas consumption. Despite its cold climate, Canada benefits from strong solar potential with solar irradiance in many areas rivaling or even exceeding that of parts of Europe. This makes solar air heating not only viable, but especially valuable in buildings with high fresh air requirements including schools, hospitals, and offices. The projects highlighted in this article showcase the versatility and relevance of solar air heating across a range of building types, from new constructions to retrofits. Figure 1: Preheating air for industrial buildings: 2,750 m2 (29,600 ft2) of Calento SL solar air collectors cover all south-west and south-east facing facades of the FAB3R factory in Trois-Rivières, Quebec. The hourly unitary flow rate is set at 41 m3/m2 or 2.23 cfm/ft2 of collector area, at the lower range because only a limited number of intake fans was close enough to the solar façade to avoid long ventilation ductwork. Photo: Trigo Energies Quebec’s solar air heating boom: the Trigo Energies story Trigo Energies makes almost 90 per cent of its sales in Quebec. “We profit from great subsidies, as solar air systems are supported by several organizations in our province – the electricity utility Hydro Quebec, the gas utility Energir and the Ministry of Natural Resources,” explained Christian Vachon, Vice President Technologies and R&D at Trigo Energies. Trigo Energies currently has nine employees directly involved in planning, engineering and installing solar air heating systems and teams up with several partner contractors to install mostly retrofit projects. “A high degree of engineering is required to fit a solar heating system into an existing factory,” emphasized Vachon. “Knowledge about HVAC engineering is as important as experience with solar thermal and architecture.” One recent Trigo installation is at the FAB3R factory in Trois-Rivières. FAB3R specializes in manufacturing, repairing, and refurbishing large industrial equipment. Its air heating and ventilation system needed urgent renovation because of leakages and discomfort for the workers. “Due to many positive references he had from industries in the area, the owner of FAB3R contacted us,” explained Vachon. “The existence of subsidies helped the client to go for a retrofitting project including solar façade at once instead of fixing the problems one bit at a time.” Approximately 50 per cent of the investment costs for both the solar air heating and the renovation of the indoor ventilation system were covered by grants and subsidies. FAB3R profited from an Energir grant targeted at solar preheating, plus an investment subsidy from the Government of Quebec’s EcoPerformance Programme.   Blue or black, but always efficient: the advanced absorber coating In October 2024, the majority of the new 2,750 m² (29,600 ft2) solar façade at FAB3R began operation (see figure 1). According to Vachon, the system is expected to cover approximately 13 per cent of the factory’s annual heating demand, which is otherwise met by natural gas. Trigo Energies equipped the façade with its high-performance Calento SL collectors, featuring a notable innovation: a selective, low-emissivity coating that withstands outdoor conditions. Introduced by Trigo in 2019 and manufactured by Almeco Group from Italy, this advanced coating is engineered to maximize solar absorption while minimizing heat loss via infrared emission, enhancing the overall efficiency of the system. The high efficiency coating is now standard in Trigo’s air heating systems. According to the manufacturer, the improved collector design shows a 25 to 35 per cent increase in yield over the former generation of solar air collectors with black paint. Testing conducted at Queen’s University confirms this performance advantage. Researchers measured the performance of transpired solar air collectors both with and without a selective coating, mounted side-by-side on a south-facing vertical wall. The results showed that the collectors with the selective coating produced 1.3 to 1.5 times more energy than those without it. In 2024, the monitoring results were jointly published by Queen’s University and Canmat Energy in a paper titled Performance Comparison of a Transpired Air Solar Collector with Low-E Surface Coating. Selective coating, also used on other solar thermal technologies including glazed flat plate or vacuum tube collectors, has a distinctive blue color. Trigo customers can, however, choose between blue and black finishes. “By going from the normal blue selective coating to black selective coating, which Almeco is specially producing for Trigo, we lose about 1 per cent in solar efficiency,” explained Vachon. Figure 2: Building-integrated solar air heating façade with MatrixAir collectors at the firehall building in Mont Saint Hilaire, south of Montreal. The 190 m2 (2,045 ft2) south-facing wall preheats the fresh air, reducing natural gas consumption by 18 per cent compared to the conventional make-up system. Architect: Leclerc Architecture. Photo: Matrix Energy Matrix Energy: collaborating with architects and engineers in new builds The key target customer group of Matrix Energy are public buildings – mainly new construction. “Since the pandemic, schools are more conscious about fresh air, and solar preheating of the incoming fresh air has a positive impact over the entire school year,” noted Brian Wilkinson, President of Matrix Energy. Matrix Energy supplies systems across Canada, working with local partners to source and process the metal sheets used in their MatrixAir collectors. These metal sheets are perforated and then formed into architectural cladding profiles. The company exclusively offers unglazed, single-stage collectors, citing fire safety concerns associated with polymeric covers. “We have strong relationships with many architects and engineers who appreciate the simplicity and cost-effectiveness of transpired solar air heating systems,” said President Brian Wilkinson, describing the company’s sales approach. “Matrix handles system design and supplies the necessary materials, while installation is carried out by specialized cladding and HVAC contractors overseen by on-site architects and engineers,” Wilkinson added. Finding the right flow: the importance of unitary airflow rates One of the key design factors in solar air heating systems is the amount of air that passes through each square meter of the perforated metal absorber,  known as the unitary airflow rate. The principle is straightforward: higher airflow rates deliver more total heat to the building, while lower flow rates result in higher outlet air temperatures. Striking the right balance between air volume and temperature gain is essential for efficient system performance. For unglazed collectors mounted on building façades, typical hourly flow rates should range between 120 and 170 (m3/h/m2), or 6.6 to 9.4 cfm/ft2. However, Wilkinson suggests that an hourly airflow rate of around 130 m³/h/m² (7.2 cfm/ft2) offers the best cost-benefit balance for building owners. If the airflow is lower, the system will deliver higher air temperatures, but it would then need a much larger collector area to achieve the same air volume and optimum performance, he explained. It’s also crucial for the flow rate to overcome external wind pressure. As wind passes over the absorber, air flow through the collector’s perforations is reduced, resulting in heat losses to the environment. This effect becomes even more pronounced in taller buildings, where wind exposure is greater. To ensure the system performs well even in these conditions, higher hourly airflow rates typically between 150 and 170 m³/m² (8.3 to 9.4 cfm/ft2)  are necessary. Figure 3: One of three apartment blocks of the Maple House in Toronto’s Canary District. Around 160 m2 (1,722 ft2) of SolarWall collectors clad the two-storey mechanical penthouse on the roof. The rental flats have been occupied since the beginning of 2024. Collaborators: architects-Alliance, Claude Cormier et Associés, Thornton Tomasetti, RWDI, Cole Engineering, DesignAgency, MVShore, BA Group, EllisDon. Photo: Conserval Engineering Solar air heating systems support LEED-certified building designs Solar air collectors are also well-suited for use in multi-unit residential buildings. A prime example is the Canary District in Toronto (see Figure 3), where single-stage SolarWall collectors from Conserval Engineering have been installed on several MURBs to clad the mechanical penthouses. “These penthouses are an ideal location for our air heating collectors, as they contain the make-up air units that supply corridor ventilation throughout the building,” explained Victoria Hollick, Vice President of Conserval Engineering. “The walls are typically finished with metal façades, which can be seamlessly replaced with a SolarWall system – maintaining the architectural language without disruption.” To date, nine solar air heating systems have been commissioned in the Canary District, covering a total collector area of over 1,000 m² (10,764 ft2). “Our customers have many motivations to integrate SolarWall technology into their new construction or retrofit projects, either carbon reduction, ESG, or green building certification targets,” explained Hollick. The use of solar air collectors in the Canary District was proposed by architects from the Danish firm Cobe. The black-colored SolarWall system preheats incoming air before it is distributed to the building’s corridors and common areas, reducing reliance on natural gas heating and supporting the pursuit of LEED Gold certification. Hollick estimates the amount of gas saved between 10 to 20 per cent of the total heating load for the corridor ventilation of the multi-unit residential buildings. Additional energy-saving strategies include a 50/50 window-to-wall ratio with high-performance glazing, green roofs, high-efficiency mechanical systems, LED lighting, and Energy Star-certified appliances. The ideal orientation for a SolarWall system is due south. However, the systems can be built at any orientation up to 90° east and west, explained Hollick. A SolarWall at 90° would have approximately 60 per cent of the energy production of the same area facing south.Canada’s expertise in solar air heating continues to set a global benchmark, driven by supporting R&D, by innovative technologies, strategic partnerships, and a growing portfolio of high-impact projects. With strong policy support and proven performance, solar air heating is poised to play a key role in the country’s energy-efficient building future. Figure 4: Claude-Bechard Building in Quebec is a showcase project for sustainable architecture with a 72 m2 (775 ft2) Lubi solar air heating wall from Aéronergie. It serves as a regional administrative center. Architectural firm: Goulet et Lebel Architectes. Photo: Art Massif Bärbel Epp is the general manager of the German Agency solrico, whose focus is on solar market research and international communication. The post Op-ed: Canada’s leadership in solar air heating—Innovation and flagship projects appeared first on Canadian Architect.

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more When DeepSeek released its R1 model this January, it wasn’t just another AI announcement. It was a watershed moment that sent shockwaves through the tech industry, forcing industry leaders to reconsider their fundamental approaches to AI development. What makes DeepSeek’s accomplishment remarkable isn’t that the company developed novel capabilities; rather, it was how it achieved comparable results to those delivered by tech heavyweights at a fraction of the cost. In reality, DeepSeek didn’t do anything that hadn’t been done before; its innovation stemmed from pursuing different priorities. As a result, we are now experiencing rapid-fire development along two parallel tracks: efficiency and compute.  As DeepSeek prepares to release its R2 model, and as it concurrently faces the potential of even greater chip restrictions from the U.S., it’s important to look at how it captured so much attention. Engineering around constraints DeepSeek’s arrival, as sudden and dramatic as it was, captivated us all because it showcased the capacity for innovation to thrive even under significant constraints. Faced with U.S. export controls limiting access to cutting-edge AI chips, DeepSeek was forced to find alternative pathways to AI advancement. While U.S. companies pursued performance gains through more powerful hardware, bigger models and better data, DeepSeek focused on optimizing what was available. It implemented known ideas with remarkable execution — and there is novelty in executing what’s known and doing it well. This efficiency-first mindset yielded incredibly impressive results. DeepSeek’s R1 model reportedly matches OpenAI’s capabilities at just 5 to 10% of the operating cost. According to reports, the final training run for DeepSeek’s V3 predecessor cost a mere $6 million — which was described by former Tesla AI scientist Andrej Karpathy as “a joke of a budget” compared to the tens or hundreds of millions spent by U.S. competitors. More strikingly, while OpenAI reportedly spent $500 million training its recent “Orion” model, DeepSeek achieved superior benchmark results for just $5.6 million — less than 1.2% of OpenAI’s investment. If you get starry eyed believing these incredible results were achieved even as DeepSeek was at a severe disadvantage based on its inability to access advanced AI chips, I hate to tell you, but that narrative isn’t entirely accurate (even though it makes a good story). Initial U.S. export controls focused primarily on compute capabilities, not on memory and networking — two crucial components for AI development. That means that the chips DeepSeek had access to were not poor quality chips; their networking and memory capabilities allowed DeepSeek to parallelize operations across many units, a key strategy for running their large model efficiently. This, combined with China’s national push toward controlling the entire vertical stack of AI infrastructure, resulted in accelerated innovation that many Western observers didn’t anticipate. DeepSeek’s advancements were an inevitable part of AI development, but they brought known advancements forward a few years earlier than would have been possible otherwise, and that’s pretty amazing. Pragmatism over process Beyond hardware optimization, DeepSeek’s approach to training data represents another departure from conventional Western practices. Rather than relying solely on web-scraped content, DeepSeek reportedly leveraged significant amounts of synthetic data and outputs from other proprietary models. This is a classic example of model distillation, or the ability to learn from really powerful models. Such an approach, however, raises questions about data privacy and governance that might concern Western enterprise customers. Still, it underscores DeepSeek’s overall pragmatic focus on results over process. The effective use of synthetic data is a key differentiator. Synthetic data can be very effective when it comes to training large models, but you have to be careful; some model architectures handle synthetic data better than others. For instance, transformer-based models with mixture of experts (MoE) architectures like DeepSeek’s tend to be more robust when incorporating synthetic data, while more traditional dense architectures like those used in early Llama models can experience performance degradation or even “model collapse” when trained on too much synthetic content. This architectural sensitivity matters because synthetic data introduces different patterns and distributions compared to real-world data. When a model architecture doesn’t handle synthetic data well, it may learn shortcuts or biases present in the synthetic data generation process rather than generalizable knowledge. This can lead to reduced performance on real-world tasks, increased hallucinations or brittleness when facing novel situations.  Still, DeepSeek’s engineering teams reportedly designed their model architecture specifically with synthetic data integration in mind from the earliest planning stages. This allowed the company to leverage the cost benefits of synthetic data without sacrificing performance. Market reverberations Why does all of this matter? Stock market aside, DeepSeek’s emergence has triggered substantive strategic shifts among industry leaders. Case in point: OpenAI. Sam Altman recently announced plans to release the company’s first “open-weight” language model since 2019. This is a pretty notable pivot for a company that built its business on proprietary systems. It seems DeepSeek’s rise, on top of Llama’s success, has hit OpenAI’s leader hard. Just a month after DeepSeek arrived on the scene, Altman admitted that OpenAI had been “on the wrong side of history” regarding open-source AI.  With OpenAI reportedly spending $7 to 8 billion annually on operations, the economic pressure from efficient alternatives like DeepSeek has become impossible to ignore. As AI scholar Kai-Fu Lee bluntly put it: “You’re spending $7 billion or $8 billion a year, making a massive loss, and here you have a competitor coming in with an open-source model that’s for free.” This necessitates change. This economic reality prompted OpenAI to pursue a massive $40 billion funding round that valued the company at an unprecedented $300 billion. But even with a war chest of funds at its disposal, the fundamental challenge remains: OpenAI’s approach is dramatically more resource-intensive than DeepSeek’s. Beyond model training Another significant trend accelerated by DeepSeek is the shift toward “test-time compute” (TTC). As major AI labs have now trained their models on much of the available public data on the internet, data scarcity is slowing further improvements in pre-training. To get around this, DeepSeek announced a collaboration with Tsinghua University to enable “self-principled critique tuning” (SPCT). This approach trains AI to develop its own rules for judging content and then uses those rules to provide detailed critiques. The system includes a built-in “judge” that evaluates the AI’s answers in real-time, comparing responses against core rules and quality standards. The development is part of a movement towards autonomous self-evaluation and improvement in AI systems in which models use inference time to improve results, rather than simply making models larger during training. DeepSeek calls its system “DeepSeek-GRM” (generalist reward modeling). But, as with its model distillation approach, this could be considered a mix of promise and risk. For example, if the AI develops its own judging criteria, there’s a risk those principles diverge from human values, ethics or context. The rules could end up being overly rigid or biased, optimizing for style over substance, and/or reinforce incorrect assumptions or hallucinations. Additionally, without a human in the loop, issues could arise if the “judge” is flawed or misaligned. It’s a kind of AI talking to itself, without robust external grounding. On top of this, users and developers may not understand why the AI reached a certain conclusion — which feeds into a bigger concern: Should an AI be allowed to decide what is “good” or “correct” based solely on its own logic? These risks shouldn’t be discounted. At the same time, this approach is gaining traction, as again DeepSeek builds on the body of work of others (think OpenAI’s “critique and revise” methods, Anthropic’s constitutional AI or research on self-rewarding agents) to create what is likely the first full-stack application of SPCT in a commercial effort. This could mark a powerful shift in AI autonomy, but there still is a need for rigorous auditing, transparency and safeguards. It’s not just about models getting smarter, but that they remain aligned, interpretable, and trustworthy as they begin critiquing themselves without human guardrails. Moving into the future So, taking all of this into account, the rise of DeepSeek signals a broader shift in the AI industry toward parallel innovation tracks. While companies continue building more powerful compute clusters for next-generation capabilities, there will also be intense focus on finding efficiency gains through software engineering and model architecture improvements to offset the challenges of AI energy consumption, which far outpaces power generation capacity.  Companies are taking note. Microsoft, for example, has halted data center development in multiple regions globally, recalibrating toward a more distributed, efficient infrastructure approach. While still planning to invest approximately $80 billion in AI infrastructure this fiscal year, the company is reallocating resources in response to the efficiency gains DeepSeek introduced to the market. Meta has also responded, With so much movement in such a short time, it becomes somewhat ironic that the U.S. sanctions designed to maintain American AI dominance may have instead accelerated the very innovation they sought to contain. By constraining access to materials, DeepSeek was forced to blaze a new trail. Moving forward, as the industry continues to evolve globally, adaptability for all players will be key. Policies, people and market reactions will continue to shift the ground rules — whether it’s eliminating the AI diffusion rule, a new ban on technology purchases or something else entirely. It’s what we learn from one another and how we respond that will be worth watching. Jae Lee is CEO and co-founder of TwelveLabs. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.

The name, the myth, the icon: Barbie is almost synonymous with pink, the specific hues of the time responding to cultural trends across the decades. The doll – created by Ruth Handler in 1959, and distributed and produced by Mattel – has reflected and also shaped decades of American culture. Bauhaus-inspired, Barbie and HEWI have collaborated to present the Barbie x HEWI sanitaryware collection, bathed in an approachable yet sophisticated shade of pink. With a focus on celebrating individuality the Barbie way, HEWI fosters a precedent of inclusive design for bathrooms at large, ushering in a new era where all are safe and welcome. HEWI continues to set new standards in bathroom and accessory design for almost one hundred years. Their iconic extruded door handle has extended to every facet of the bathroom, including a towel bar, shower seat, soap dish, and toilet roll holder, offering everything you might need if your bathroom needs a bit of brightness. A lovely shade of light pink accented with an approachable cream color allows the Barbie x HEWI collection to fit in with existing decor, palette incredibly important in a room made for washing and cleanliness. With a satisfying thickness sometimes absent from bathroom collections, each piece receives the signature HEWI finish, glossy and made to last even through the toughest bath times. Barbie has been an integral part of our culture for over 65 years, offering a new perspective about what professions the doll could take part in and the roles she could play. In more recent years, inclusion has been a priority for the brand, choosing a more natural silhouette and featuring a more accurate and diverse picture of who Barbie and her friends could be. Here, this energy extends to the restroom, where the iconic Barbie pink meets the bold, Bauhaus silhouette of HEWI designs. HEWI has been at the forefront of product design for over 90 years, challenging themselves and others to anticipate the needs of subsequent generations. With work in healthcare, public projects, hotels, and education, HEWI strives to continue to push the boundaries of materials technology, closing loops on their production processes with projects like the Re-seat collection, made out of offcuts from injection molding. To learn more about the Barbie x HEWI sanitaryware collection, please visit barbiexhewi.com.  Imagery courtesy of HEWI.

By CHRIS McGOWAN Images courtesy of Warner Bros. Pictures. Final Destination Bloodlines, the sixth installment in the graphic horror series, kicks off with the film’s biggest challenge – deploying an elaborate, large-scale set piece involving the 400-foot-high Skyview Tower restaurant. While there in 1968, young Iris Campbell (Brec Bassinger) has a premonition about the Skyview burning, cracking, crumbling and collapsing. Then, when she sees these events actually starting to happen around her, she intervenes and causes an evacuation of the tower, thus thwarting death’s design and saving many lives. Years later, her granddaughter, Stefani Reyes (Kaitlyn Santa Juana), inherits the vision of the destruction that could have occurred and realizes death is still coming for the survivors. “I knew we couldn’t put the whole [Skyview restaurant] on fire, but Tony [Lazarowich, Special Effects Supervisor] tried and put as much fire as he could safely and then we just built off that [in VFX] and added a lot more. Even when it’s just a little bit of real fire, the lighting and interaction that can’t be simulated, so I think it was a success in terms of blending that practical with the visual.” —Nordin Rahhali, VFX Supervisor The film opens with an elaborate, large-scale set piece involving the 400-foot-high Skyview Tower restaurant – and its collapse. Drone footage was digitized to create a 3D asset for the LED wall so the time of day could be changed as needed. “The set that the directors wanted was very large,” says Nordin Rahhali, VFX Supervisor. “We had limited space options in stages given the scale and the footprint of the actual restaurant that they wanted. It was the first set piece, the first big thing we shot, so we had to get it all ready and going right off the bat. We built a bigger volume for our needs, including an LED wall that we built the assets for.” “We were outside Vancouver at Bridge Studios in Burnaby. The custom-built LED volume was a little over 200 feet in length” states Christian Sebaldt, ASC, the movie’s DP. The volume was 98 feet in diameter and 24 feet tall. Rahhali explains, “Pixomondo was the vendor that we contracted to come in and build the volume. They also built the asset that went on the LED wall, so they were part of our filming team and production shoot. Subsequently, they were also the main vendor doing post, which was by design. By having them design and take care of the asset during production, we were able to leverage their assets, tools and builds for some of the post VFX.” Rahhali adds, “It was really important to make sure we had days with the volume team and with Christian and his camera team ahead of the shoot so we could dial it in.” Built at Bridge Studios in Burnaby outside Vancouver, the custom-built LED volume for events at the Skyview restaurant was over 200 feet long, 98 feet wide and 24 feet tall. Extensive previs with Digital Domain was done to advance key shots. (Photo: Eric Milner) Zach Lipovsky and Adam Stein directed Final Destination Bloodlines for New Line film, distributed by Warner Bros., in which chain reactions of small and big events lead to bloody catastrophes befalling those who have cheated death at some point. Pixomondo was the lead VFX vendor, followed by FOLKS VFX. Picture Shop also contributed. There were around 800 VFX shots. Tony Lazarowich was the Special Effects Supervisor. “The Skyview restaurant involved building a massive set [that] was fire retardant, which meant the construction took longer than normal because they had to build it with certain materials and coat it with certain things because, obviously, it serves for the set piece. As it’s falling into chaos, a lot of that fire was practical. I really jived with what Christian and directors wanted and how Tony likes to work – to augment as much real practical stuff as possible,” Rahhali remarks. “I knew we couldn’t put the whole thing on fire, but Tony tried and put as much fire as he could safely, and then we just built off that [in VFX] and added a lot more. Even when it’s just a little bit of real fire, the lighting and interaction can’t be simulated, so I think it was a success in terms of blending that practical with the visual.” The Skyview restaurant required building a massive set that was fire retardant. Construction on the set took longer because it had to be built and coated with special materials. As the Skyview restaurant falls into chaos, much of the fire was practical. (Photo: Eric Milner) “We got all the Vancouver skyline [with drones] so we could rebuild our version of the city, which was based a little on the Vancouver footprint. So, we used all that to build a digital recreation of a city that was in line with what the directors wanted, which was a coastal city somewhere in the States that doesn’t necessarily have to be Vancouver or Seattle, but it looks a little like the Pacific Northwest.” —Christian Sebaldt, ASC, Director of Photography For drone shots, the team utilized a custom heavy-lift drone with three RED Komodo Digital Cinema cameras “giving us almost 180 degrees with overlap that we would then stitch in post and have a ridiculous amount of resolution off these three cameras,” Sebaldt states. “The other drone we used was a DJI Inspire 3, which was also very good. And we flew these drones up at the height [we needed]. We flew them at different times of day. We flew full 360s, and we also used them for photogrammetry. We got all the Vancouver skyline so we could rebuild our version of the city, which was based a little on the Vancouver footprint. So, we used all that to build a digital recreation of a city that was in line with what the directors wanted, which was a coastal city somewhere in the States that doesn’t necessarily have to be Vancouver or Seattle, but it looks a little like the Pacific Northwest.” Rahhali adds, “All of this allowed us to figure out what we were going to shoot. We had the stage build, and we had the drone footage that we then digitized and created a 3D asset to go on the wall [so] we could change the times of day” Pixomondo built the volume and the asset that went on the LED wall for the Skyview sequence. They were also the main vendor during post. FOLKS VFX and Picture Shop contributed. (Photo: Eric Milner) “We did extensive previs with Digital Domain,” Rahhali explains. “That was important because we knew the key shots that the directors wanted. With a combination of those key shots, we then kind of reverse-engineered [them] while we did techvis off the previs and worked with Christian and the art department so we would have proper flexibility with the set to be able to pull off some of these shots. [For example,] some of these shots required the Skyview restaurant ceiling to be lifted and partially removed for us to get a crane to shoot Paul [Max Lloyd-Jones] as he’s about to fall and the camera’s going through a roof, that we then digitally had to recreate. Had we not done the previs to know those shots in advance, we would not have been able to build that in time to accomplish the look. We had many other shots that were driven off the previs that allowed the art department, construction and camera teams to work out how they would get those shots.” Some shots required the Skyview’s ceiling to be lifted and partially removed to get a crane to shoot Paul Campbell (Max Lloyd-Jones) as he’s about to fall. The character Iris lived in a fortified house, isolating herself methodically to avoid the Grim Reaper. Rahhali comments, “That was a beautiful location [in] GVRD [Greater Vancouver], very cold. It was a long, hard shoot, because it was all nights. It was just this beautiful pocket out in the middle of the mountains. We in visual effects didn’t do a ton other than a couple of clean-ups of the big establishing shots when you see them pull up to the compound. We had to clean up small roads we wanted to make look like one road and make the road look like dirt.” There were flames involved. Sebaldt says, “The explosion [of Iris’s home] was unbelievably big. We had eight cameras on it at night and shot it at high speed, and we’re all going ‘Whoa.’” Rahhali notes, “There was some clean-up, but the explosion was 100% practical. Our Special Effects Supervisor, Tony, went to town on that. He blew up the whole house, and it looked spectacular.” The tattoo shop piercing scene is one of the most talked-about sequences in the movie, where a dangling chain from a ceiling fan attaches itself to the septum nose piercing of Erik Campbell (Richard Harmon) and drags him toward a raging fire. Rahhali observes, “That was very Final Destination and a great Rube Goldberg build-up event. Richard was great. He was tied up on a stunt line for most of it, balancing on top of furniture. All of that was him doing it for real with a stunt line.” Some effects solutions can be surprisingly extremely simple. Rahhali continues, “Our producer [Craig Perry] came up with a great gag [for the] septum ring.” Richard’s nose was connected with just a nose plug that went inside his nostrils. “All that tugging and everything that you’re seeing was real. For weeks and weeks, we were all trying to figure out how to do it without it being a big visual effects thing. ‘How are we gonna pull his nose for real?’ Craig said, ‘I have these things I use to help me open up my nose and you can’t really see them.’ They built it off of that, and it looked great.” Filmmakers spent weeks figuring out how to execute the harrowing tattoo shop scene. A dangling chain from a ceiling fan attaches itself to the septum nose ring of Erik Campbell (Richard Harmon) – with the actor’s nose being tugged by the chain connected to a nose plug that went inside his nostrils. “[S]ome of these shots required the Skyview restaurant ceiling to be lifted and partially removed for us to get a crane to shoot Paul [Campbell] as he’s about to fall and the camera’s going through a roof, that we then digitally had to recreate. Had we not done the previs to know those shots in advance, we would not have been able to build that in time to accomplish the look. We had many other shots that were driven off the previs that allowed the art department, construction and camera teams to work out how they would get those shots.” —Nordin Rahhali, VFX Supervisor Most of the fire in the tattoo parlor was practical. “There are some fire bars and stuff that you’re seeing in there from SFX and the big pool of fire on the wide shots.” Sebaldt adds, “That was a lot of fun to shoot because it’s so insane when he’s dancing and balancing on all this stuff – we were laughing and laughing. We were convinced that this was going to be the best scene in the movie up to that moment.” Rahhali says, “They used the scene wholesale for the trailer. It went viral – people were taking out their septum rings.” Erik survives the parlor blaze only to meet his fate in a hospital when he is pulled by a wheelchair into an out-of-control MRI machine at its highest magnetic level. Rahhali comments, “That is a good combination of a bunch of different departments. Our Stunt Coordinator, Simon Burnett, came up with this hard pull-wire line [for] when Erik flies and hits the MRI. That’s a real stunt with a double, and he hit hard. All the other shots are all CG wheelchairs because the directors wanted to art-direct how the crumpling metal was snapping and bending to show pressure on him as his body starts going into the MRI.” To augment the believability that comes with reality, the directors aimed to capture as much practically as possible, then VFX Supervisor Nordin Rahhali and his team built on that result. (Photo: Eric Milner) A train derailment concludes the film after Stefani and her brother, Charlie, realize they are still on death’s list. A train goes off the tracks, and logs from one of the cars fly though the air and kills them. “That one was special because it’s a hard sequence and was also shot quite late, so we didn’t have a lot of time. We went back to Vancouver and shot the actual street, and we shot our actors performing. They fell onto stunt pads, and the moment they get touched by the logs, it turns into CG as it was the only way to pull that off and the train of course. We had to add all that. The destruction of the houses and everything was done in visual effects.” Erik survives the tattoo parlor blaze only to meet his fate in a hospital when he is crushed by a wheelchair while being pulled into an out-of-control MRI machine. Erik (Richard Harmon) appears about to be run over by a delivery truck at the corner of 21A Ave. and 132A St., but he’s not – at least not then. The truck is actually on the opposite side of the road, and the person being run over is Howard. A rolling penny plays a major part in the catastrophic chain reactions and seems to be a character itself. “The magic penny was a mix from two vendors, Pixomondo and FOLKS; both had penny shots,” Rahhali says. “All the bouncing pennies you see going through the vents and hitting the fan blade are all FOLKS. The bouncing penny at the end as a lady takes it out of her purse, that goes down the ramp and into the rail – that’s FOLKS. The big explosion shots in the Skyview with the penny slowing down after the kid throws it [off the deck] are all Pixomondo shots. It was a mix. We took a little time to find that balance between readability and believability.” Approximately 800 VFX shots were required for Final Destination Bloodlines. (Photo: Eric Milner) Chain reactions of small and big events lead to bloody catastrophes befalling those who have cheated Death at some point in the Final Destination films. From left: Kaitlyn Santa Juana as Stefani Reyes, director Adam Stein, director Zach Lipovsky and Gabrielle Rose as Iris. (Photo: Eric Milner) Rahhali adds, “The film is a great collaboration of departments. Good visual effects are always a good combination of special effects, makeup effects and cinematography; it’s all the planning of all the pieces coming together. For a film of this size, I’m really proud of the work. I think we punched above our weight class, and it looks quite good.”