20 Years of Creativity and Innovation | Aaron Sims Creative Were celebrating a monumental milestone20 incredible years of imagination, artistry, and groundbreaking projects! From our first steps as a creative studio to some of the most iconic designs in entertainment, its been an extraordinary journey.This special 20th Anniversary Reel is a tribute to the amazing clients, collaborators, and fans who have supported us along the way. Youve inspired us to push boundaries and continue creating unforgettable visuals. Thank you for being part of our story! Visit us at aaronsimscreative.com to explore more of our work and see whats next for the future!Dont forget to like, comment, and subscribe to stay updated on our latest projects and innovations.

New Project Digits mini PC offers a petaFLOP of power for local AI processing and data science.

Nvidia's Cosmos platform lets researchers simulate multiple different realities and simulate real-world physics to generate footage that can train future robots.

Jurassic World fans can add to their collection of buildable dinosaurs with two new Lego sets that pair nicely with some of the other models in the series. There's a Triceratops fossil set for $45 and a cute T. rex inspired by Little Eatie from Jurassic World: Camp Cretaceous.New Lego Jurassic World SetsLego Jurassic World - Dinosaur Fossils: Triceratops Skull (468 pieces) -- $45Lego Jurassic World - Little Eatie T. rex (317 pieces) -- $25 Shop Lego Jurassic World at Amazon Lego Jurassic World - Dinosaur Fossils: Triceratops Skull (468 pieces) $45 Part of Lego's Jurassic World Dinosaur Fossils line, the Triceratops Skull is a 468-piece set that works as both a display piece and playset. It has an opening jaw and comes with a display stand, rock base, and excavating tools. A Junior Paleontologist minifigure stands next to the information plaque at the dig site.The Triceratops Skull Lego model would look great next to the T. rex Skull that launched at the beginning of last year. The T. rex fossil set is a 577-piece build that shares the same aesthetic as the Triceratops. It includes an information plaque and a rock base with a fossilized T. rex footprint. Dinosaur Fossils: T. rex Skull normally costs $40, but you can get it for only $32 at Amazon. See at Amazon See at Lego Store Lego Jurassic World - Little Eatie T. Rex (317 pieces) $25 Fans of the Netflix animated series Jurassic World: Camp Cretaceous can build a 317-piece T. rex based on Little Eatie. Recommended for kids ages seven and up, Little Eatie has multiple points of articulation that essentially make it a buildable action figure. Her arms, legs, tail, head, and jaw can move to create different poses. Along with the figure, you'll build a cannon for the ferocious dinosaur to destroy.Little Eatie isn't the only adorable dinosaur building set based on a character from Camp Cretaceous. Last summer, Lego released an incredibly cute Baby Bumpy Ankylosaurus set for $25. See at Amazon See at Lego Store All Jurassic World and Jurassic Park Lego Sets Along with the sets listed above, there are a bunch of other Lego building sets themed around Jurassic Park and Jurassic World available at select major retailers. Check out the full list of in-stock Jurassic World Lego sets below.Several Lego Jurassic World sets are being phased out in the near future, but you can still buy them for retail price at select retailers. You can also save $30 on the recently retired T. rex and Atrociraptor Breakout Lego playset at Barnes & Noble.Giganotosaurus & Therizinosaurus Attack (810 pieces) -- $140Visitor Center: T. rex Attack (693 pieces) -- $120 ($130)Dinosaur Fossils: T. rex Skull (577 pieces) -- $32 ($40)Dinosaur Fossils: Triceratops Skull (468 pieces) -- $45Little Eatie T. rex (317 pieces) -- $25Baby Bumpy Ankylosaurus (358 pieces) -- $25Dinosaur Missions: Stegosaurus Discovery (420 pieces) -- $58 ($65)Dinosaur Missions: Allosaurus Transport (588 pieces) -- $89Baby Dinosaur Rescue Center Preschooler Set (139 pieces) -- $32 ($40)Velociraptor Escape Preschooler Set (137 pieces) -- $35 ($40)T. rex & Atrociraptor Breakout (466 pieces) -- $70 ($100) | RetiredT. rex Dinosaur Breakout Preschooler Set (140 pieces) -- $50 | Retiring SoonBrachiosaurus Discovery (512 pieces) -- $80 | Retiring SoonBlue & Beta Velociraptor Capture (181 pieces) -- $35 | Retiring Soon See more at Amazon Continue Reading at GameSpot

Razer has announced the next generation of its Razer Blade 16 gaming laptop as part of its CES 2025 lineup. The new model looks to not only be a powerful rig with impressive gaming specs, it's also the company's thinnest gaming laptop yet.The new Razer Blade 16 features a 0.59-inch chassis, which is 32% thinner than the previous Razer Blade 16 model. Razer has made other adjustments to the laptop's design to accommodate the smaller size without impacting durability, cooling, or usability. The new laptop has a metal body made from a single piece of anodized aluminum and features vapor chamber cooling. The redesign also includes a new keyboard with 1.5mm travel, which is 50% more key travel than the previous model.Razer Blade 16 2025 ModelThe Razer Blade 16 will be available with multiple hardware configuration options, with the highest-end model sporting an AMD Ryzen AI 9 HX 370 processor. Other components will be detailed later. All models feature a 16-inch OLED display with 3200 x 1800 pixel QHD+ resolution, 240Hz refresh rate, and 0.2ms response time.Continue Reading at GameSpot

Hogwarts Legacy has been around for some time now, but players are constantly discovering new features that keep them returning for more. Hogwarts Legacy allows Harry Potter fans to live out their fantasies, from dueling baddies to saving beasts from poachers.

There are hundreds of customization options available to players in Call of Duty: Black Ops 6 that can be used to make each weapon feel different; from various-sized magazines to suppressors, grips, and sights.

Xbox shared some screenshots of the upcoming WWE 2K25 game. As WWE 2K24 was released in March 2024, some gamers are already expecting that WWE 2K25 could come out at around a similar time in 2025. While no detailed news has come out regarding the next entry in the franchise, many fans are already speculating on what changes could be brought about to the game.

According to Gartner, the worldwide end-user spending on all IT products for 2024 was $5 trillion. This industry is built on a computing fabric of electrons, is fully software-defined, accelerated and now generative AI-enabled. While huge, its a fraction of the larger physical industrial market that relies on the movement of atoms.Todays 10 million factories, nearly 200,000 warehouses and 40 million miles of highways form the computing fabric of our physical world. But that vast network of production facilities and distribution centers is still laboriously and manually designed, operated and optimized.In warehousing and distribution, operators face highly complex decision optimization problems matrices of variables and interdependencies across human workers, robotic and agentic systems and equipment. Unlike the IT industry, the physical industrial market is still waiting for its own software-defined moment.That moment is coming.Choreographed integration of human workers, robotic and agentic systems and equipment in a facility digital twin. Image courtesy of Accenture, KION Group.NVIDIA today at CES announced Mega, an Omniverse Blueprint for developing, testing and optimizing physical AI and robot fleets at scale in a digital twin before deployment into real-world facilities.Advanced warehouses and factories use fleets of hundreds of autonomous mobile robots, robotic arm manipulators and humanoids working alongside people. With implementations of increasingly complex systems of sensor and robot autonomy, it requires coordinated training in simulation to optimize operations, help ensure safety and avoid disruptions.Mega offers enterprises a reference architecture of NVIDIA accelerated computing, AI, NVIDIA Isaac and NVIDIA Omniverse technologies to develop and test digital twins for testing AI-powered robot brains that drive robots, video analytics AI agents, equipment and more for handling enormous complexity and scale. The new framework brings software-defined capabilities to physical facilities, enabling continuous development, testing, optimization and deployment.Developing AI Brains With World Simulator for Autonomous OrchestrationWith Mega-driven digital twins, including a world simulator that coordinates all robot activities and sensor data, enterprises can continuously update facility robot brains for intelligent routes and tasks for operational efficiencies.The blueprint uses Omniverse Cloud Sensor RTX APIs that enable robotics developers to render sensor data from any type of intelligent machine in the factory, simultaneously, for high-fidelity large-scale sensor simulation. This allows robots to be tested in an infinite number of scenarios within the digital twin, using synthetic data in a software-inthe-loop pipeline with NVIDIA Isaac ROS.Operational efficiency is gained with sensor simulation. Image courtesy of Accenture, KION Group.Supply chain solutions company KION Group is collaborating with Accenture and NVIDIA as the first to adopt Mega for optimizing operations in retail, consumer packaged goods, parcel services and more.Jensen Huang, founder and CEO of NVIDIA, offered a glimpse into the future of this collaboration on stage at CES, demonstrating how enterprises can navigate a complex web of decisions using the Mega Omniverse Blueprint.At KION, we leverage AI-driven solutions as an integral part of our strategy to optimize our customers supply chains and increase their productivity, said Rob Smith, CEO of KION GROUP AG. With NVIDIAs AI leadership and Accentures expertise in digital technologies, we are reinventing warehouse automation. Bringing these strong partners together, we are creating a vision for future warehouses that are part of a smart agile system, evolve with the world around them and can handle nearly any supply chain challenge.Creating Operational Efficiencies With Mega Omniverse BlueprintCreating operational efficiencies, KION and Accenture are embracing the Mega Omniverse Blueprint to build next-generation supply chains for KION and its customers. KION can capture and digitalize a warehouse digital twin in Omniverse by using computer-aided design files, video, lidar, image and AI-generated data.KION uses the Omniverse digital twin as a virtual training and testing environment for its industrial AIs robot brains, powered by NVIDIA Isaac, tapping into smart cameras, forklifts, robotic equipment and digital humans. Integrating the Omniverse digital twin, KIONs warehouse management software can create and assign missions for robot brains, like moving a load from one place to another.Graphical data is easily introduced into the Omniverse viewport showcasing productivity and throughput among other desired metrics. Image courtesy of Accenture, KION Group.These simulated robots can carry out tasks by perceiving and reasoning in environments, and theyre capable of planning next motions and then taking actions that are simulated in the digital twin. The robot brains perceive the results deciding the next action, and this cycle continues with Mega precisely tracking the state and position of all the assets in the digital twin.Delivering Services With Mega for Facilities EverywhereAccenture, global leader in professional services, is adopting Mega as part of its AI Refinery for Simulation and Robotics, built on NVIDIA AI and Omniverse, to help organizations use AI simulation to reinvent factory and warehouse design and ongoing operations.With the blueprint, Accenture is delivering new services including Custom Robotics and Manufacturing Foundation Model Training and Finetuning; Intelligent Humanoid Robotics; and AI-Powered Industrial Manufacturing and Logistics Simulation and Optimization to expand the power of physical AI and simulation to the worlds factories and warehouse operators. Now, for example, an organization can explore numerous options for their warehouse before choosing and implementing the best one.As organizations enter the age of industrial AI, we are helping them use AI-powered simulation and autonomous robots to reinvent the process of designing new facilities and optimizing existing operations, said Julie Sweet, chair and CEO of Accenture. Our collaboration with NVIDIA and KION will help our clients plan their operations in digital twins, where they can run hundreds of options and quickly select the best for current or changing market conditions, such as seasonal market demand or workforce availability. This represents a new frontier of value for our clients to achieve using technology, data and AI.Join NVIDIA at CES.See notice regarding software product information.

Generative AI and foundation models let autonomous machines generalize beyond the operational design domains on which theyve been trained. Using new AI techniques such as tokenization and large language and diffusion models, developers and researchers can now address longstanding hurdles to autonomy.These larger models require massive amounts of diverse data for training, fine-tuning and validation. But collecting such data including from rare edge cases and potentially hazardous scenarios, like a pedestrian crossing in front of an autonomous vehicle (AV) at night or a human entering a welding robot work cell can be incredibly difficult and resource-intensive.To help developers fill this gap, NVIDIA Omniverse Cloud Sensor RTX APIs enable physically accurate sensor simulation for generating datasets at scale. The application programming interfaces (APIs) are designed to support sensors commonly used for autonomy including cameras, radar and lidar and can integrate seamlessly into existing workflows to accelerate the development of autonomous vehicles and robots of every kind.Omniverse Sensor RTX APIs are now available to select developers in early access. Organizations such as Accenture, Foretellix, MITRE and Mcity are integrating these APIs via domain-specific blueprints to provide end customers with the tools they need to deploy the next generation of industrial manufacturing robots and self-driving cars.Powering Industrial AI With Omniverse BlueprintsIn complex environments like factories and warehouses, robots must be orchestrated to safely and efficiently work alongside machinery and human workers. All those moving parts present a massive challenge when designing, testing or validating operations while avoiding disruptions.Mega is an Omniverse Blueprint that offers enterprises a reference architecture of NVIDIA accelerated computing, AI, NVIDIA Isaac and NVIDIA Omniverse technologies. Enterprises can use it to develop digital twins and test AI-powered robot brains that drive robots, cameras, equipment and more to handle enormous complexity and scale.Integrating Omniverse Sensor RTX, the blueprint lets robotics developers simultaneously render sensor data from any type of intelligent machine in a factory for high-fidelity, large-scale sensor simulation.With the ability to test operations and workflows in simulation, manufacturers can save considerable time and investment, and improve efficiency in entirely new ways.International supply chain solutions company KION Group and Accenture are using the Mega blueprint to build Omniverse digital twins that serve as virtual training and testing environments for industrial AIs robot brains, tapping into data from smart cameras, forklifts, robotic equipment and digital humans.The robot brains perceive the simulated environment with physically accurate sensor data rendered by the Omniverse Sensor RTX APIs. They use this data to plan and act, with each action precisely tracked with Mega, alongside the state and position of all the assets in the digital twin. With these capabilities, developers can continuously build and test new layouts before theyre implemented in the physical world.Driving AV Development and ValidationAutonomous vehicles have been under development for over a decade, but barriers in acquiring the right training and validation data and slow iteration cycles have hindered large-scale deployment.To address this need for sensor data, companies are harnessing the NVIDIA Omniverse Blueprint for AV simulation, a reference workflow that enables physically accurate sensor simulation. The workflow uses Omniverse Sensor RTX APIs to render the camera, radar and lidar data necessary for AV development and validation.AV toolchain provider Foretellix has integrated the blueprint into its Foretify AV development toolchain to transform object-level simulation into physically accurate sensor simulation.The Foretify toolchain can generate any number of testing scenarios simultaneously. By adding sensor simulation capabilities to these scenarios, Foretify can now enable developers to evaluate the completeness of their AV development, as well as train and test at the levels of fidelity and scale needed to achieve large-scale and safe deployment. In addition, Foretellix will use the newly announced NVIDIA Cosmos platform to generate an even greater diversity of scenarios for verification and validation.Nuro, an autonomous driving technology provider with one of the largest level 4 deployments in the U.S., is using the Foretify toolchain to train, test and validate its self-driving vehicles before deployment.In addition, research organization MITRE is collaborating with the University of Michigans Mcity testing facility to build a digital AV validation framework for regulatory use, including a digital twin of Mcitys 32-acre proving ground for autonomous vehicles. The project uses the AV simulation blueprint to render physically accurate sensor data at scale in the virtual environment, boosting training effectiveness.The future of robotics and autonomy is coming into sharp focus, thanks to the power of high-fidelity sensor simulation. Learn more about these solutions at CES by visiting Accenture at Ballroom F at the Venetian and Foretellix booth 4016 in the West Hall of Las Vegas Convention Center.Learn more about the latest in automotive and generative AI technologies by joining NVIDIA at CES.See notice regarding software product information.