Conflux Technology, an Australian company specializing in heat transfer solutions and additive manufacturing, has announced a collaboration with Italian hypercar manufacturer Pagani to address thermal management challenges in the Pagani Utopia’s transmission. The Utopia, Pagani’s latest hypercar, uses a 6-liter twin-turbo V12 engine designed by Mercedes-AMG. Its powertrain integrates a custom seven-speed transmission developed by Xtrac, available in both automated and manual configurations, to deliver the high levels of control and responsiveness required in extreme driving conditions. The Australian-based firm developed a cartridge heat exchanger specifically for the Utopia’s transmission oil system to improve heat rejection. According to the company, this solution achieves a 30% increase in heat rejection compared to the previous heat exchanger design. This enhancement is critical to maintain optimal thermal performance during high-load operations and ensures the vehicle meets global emissions standards, including those in California. Pagani’s Utopia hypercar, powered by a 6-liter twin-turbo V12 engine. Photo via Conflux Technology. Pagani subjected the Utopia’s transmission system to extensive testing, including track and road validation as well as thermal shock trials. These tests confirmed the durability and thermal resilience of the new heat exchanger under demanding operational conditions, aligning with the vehicle’s performance requirements. Michael Fuller, Founder and CEO of Conflux Technology, said: “Our advanced heat exchangers are designed to enable new levels of effectiveness, perfectly complementing the engineering craftsmanship that Pagani is celebrated for. This collaboration showcases the synergy of precision, innovation, and excellence.” Francesco Perini, Head of the Technical Department at Pagani, emphasized: “Conflux’s advanced heat transfer technology empowers the Pagani Utopia to achieve superior heat rejection ensuring optimal thermal balance, even in severe driving conditions. In our relentless pursuit of perfection, every detail matters. Conflux’s cartridge heat exchangers are a testament to precision and innovation, playing a vital role in ensuring that the Utopia can be enjoyed for a romantic drive on the French Riviera as well as on the most demanding tracks.” Oliver Nixon, Head of High Performance Automotive at Xtrac, stated: “The innovation of Conflux’s technology has allowed Xtrac to continue to push the boundaries of transmission performance, whilst maintaining the lightweight, motorsport derived ethos of our transmission solutions.” Conflux Technology’s additive-manufactured cartridge heat exchangers. Photo via Conflux Technology. Conflux is developing its Conflux Production Systemsto scale the production of its heat exchangers, supported by an AUD 11 million Series B funding round. The company’s technology is applied across multiple sectors, including aerospace, motorsports, high-powered industrial equipment, and defense, where effective thermal management is essential. The cartridge design leverages additive manufacturing to produce complex geometries that enhance heat transfer while reducing weight, supporting the requirements of high-performance automotive applications. Xtrac, headquartered in Berkshire, UK, with additional facilities in Indiana and North Carolina, specializes in engineering transmission and driveline systems for both motorsport and automotive sectors. Engine bay featuring Xtrac’s seven-speed gearbox. Photo via Conflux Technology. Additive Manufacturing in High-Performance Automotive Design Bentley Motors recent limited-run Batur grand tourer, The Black Rose, integrates additive manufacturing into its design through 18-karat recycled rose gold components. Developed by the Mulliner division in collaboration with precious metal supplier Cooksongold, the project uses up to 210 grams of printed gold in elements such as the Drive Mode Selector, air vent controls, and steering wheel insert. These components are hallmarked in Birmingham’s Jewellery Quarter, with some also bearing the hallmark commemorating Queen Elizabeth II’s Platinum Jubilee. Bentley’s investment in additive manufacturing capacity since 2022 amounts to £3 million. This focus on additive manufacturing extends to high-performance vehicle engineering, as seen in McLaren Automotive’s W1 hypercar. The W1 incorporates titanium 3D printing in the production of front uprights and wishbones for its suspension system, contributing to significant weight savings and enhanced dynamic performance. McLaren reports that the W1 achieves a vehicle weight of 1,399kg, enabling a power-to-weight ratio of 911PS/tonne and supporting acceleration from 0 to 200km/h in 5.8 seconds. Central to this development is the company’s collaboration with Divergent Technologies, whose DAPS platform supports rapid design iteration and manufacturing flexibility.s. Front view of the McLaren W1 hypercar. Image via McLaren. Take the 3DPI Reader Survey — shape the future of AM reporting in under 5 minutes. Ready to discover who won the 2024 3D Printing Industry Awards? Subscribe to the 3D Printing Industry newsletter to stay updated with the latest news and insights. Featured photo shows Pagani’s Utopia hypercar, powered by a 6-liter twin-turbo V12 engine. Photo via Conflux Technology. Anyer Tenorio Lara Anyer Tenorio Lara is an emerging tech journalist passionate about uncovering the latest advances in technology and innovation. With a sharp eye for detail and a talent for storytelling, Anyer has quickly made a name for himself in the tech community. Anyer's articles aim to make complex subjects accessible and engaging for a broad audience. In addition to his writing, Anyer enjoys participating in industry events and discussions, eager to learn and share knowledge in the dynamic world of technology. #conflux #technology #advances #heat #transfer

Mauricio Rocha | TaAU | Alejandro Castro | OMA | Michel Desvigne | Robert Moses | El Equipo Mazzanti | ContraFuerte |  Batlleiroig | Christian Kerez Earlier this year, news broke that levels of fine particulate matter in Paris had dropped by an astounding 55 per cent since 2005. Through a combination of regulation and public policy, the city has vastly reduced the number of cars on its streets, introducing bike lanes and public green spaces in the place of around 50,000 parking spaces. This issue is dedicated to roads and the architectures that support them. Cities around the world are reckoning with 20th-century car-oriented urban planning, as epitomised by Robert Moses’s New York. Existing roads are increasingly repurposed for broader uses, prioritising pedestrians, cyclists and other forms of movement. São Paulo’s Minhocão has been gradually reclaimed by residents, and the restoration of a historical promenade in Reus is inclusive for all. Meanwhile, OMA’s new bridge in Bordeaux is designed to host public events – as well as six lanes of motorised traffic. Elsewhere, automobile infrastructure continues to expand; in Bahrain, four new car parks stand largely empty, and a roadside service station in Colombia is yet to be occupied. Roads promise prosperity and progress, often with expansionist ambitions; as Nadi Abusaada writes, ‘The road is both the myth and mechanism of the colonial frontier’.  Electric vehicles are now heralded as the future of transport, but as Nelo Magalhães writes in this issue’s keynote, ‘EVs do nothing to change the mass of roads or the issue of their maintenance’. The shift needed is more radical and wide‑reaching.  1522: Roads coverHighway #5, Los Angeles, California, USAis part of Edward Burtynsky: The Great Acceleration, an exhibition on view at the International Center of Photography in New York City until 28 September. In it, a motorway bulldozes its way through suburbia, sending out smaller branches that further subdivide it. Credit: © Edward Burtynsky, courtesy Flowers Gallery, London folioHome follows a family living in a house next to an uncompleted motorway, who reclaim it, temporarily, as an extension of their home. Credit: Album / Alamy keynote How much does your road weigh? Nelo Magalhãesbuilding Malecón de Villahermosa by Taller de Arquitectura Mauricio Rocha, TaAU and Alejandro Castro in Villahermosa, Mexico Laure Nashed building Simon Veil bridge by OMA and Michel Desvigne Paysagiste in Bordeaux, France John Bingham-Hall reputations Robert Moses Andy Battlebuilding Control and operations centre by El Equipo Mazzanti and ContraFuerte in Bolombolo, Colombia Felipe Walter essay Cape to Cairo Sara Salem essay A short history of the roadblock Jan-Werner Müller outrage The Amazonian road to COP30 Martha Dillonrevisit Schlangenbader Straße estate in Berlin, Germany Sophie Lovell essay Living with the Big Worm Richard J Williamsbuilding Passeig de Boca de la Mina by Batlleiroig in Reus, Spain Blanca Pujals essay Taking Norway’s scenic routes Tomà Berlanda building Pearling Path car parks by Christian Kerez in Muharraq, Bahrain Oliver Wainwright typology Petrol station Tom Wilkinson essay The road is the frontier Nadi Abusaada #june #roads

Editor’s note: This blog, originally published on October 28, 2024, has been updated. Financial losses from worldwide credit card transaction fraud are projected to reach more than billion over the next decade. The new NVIDIA AI Blueprint for financial fraud detection can help combat this burgeoning epidemic — using accelerated data processing and advanced algorithms to improve AI’s ability to detect and prevent credit card transaction fraud. Launched this week at the Money20/20 financial services conference, the blueprint provides a reference example for financial institutions to identify subtle patterns and anomalies in transaction data based on user behavior to improve accuracy and reduce false positives compared with traditional methods. It shows developers how to build a financial fraud detection workflow by providing reference code, deployment tools and a reference architecture. Companies can streamline the migration of their fraud detection workflows from traditional compute to accelerated compute using the NVIDIA AI Enterprise software platform and NVIDIA accelerated computing. The NVIDIA AI Blueprint is available for customers to run on Amazon Web Services, with availability coming soon on Dell Technologies and Hewlett Packard Enterprise. Customers can also use the blueprint through service offerings from NVIDIA partners including Cloudera, EXL, Infosys and SHI International. Businesses embracing comprehensive machine learningtools and strategies can observe up to an estimated 40% improvement in fraud detection accuracy, boosting their ability to identify and stop fraudsters faster and mitigate harm. As such, leading financial organizations like American Express and Capital One have been using AI to build proprietary solutions that mitigate fraud and enhance customer protection. The new AI Blueprint accelerates model training and inference, and demonstrates how these components can be wrapped into a single, easy-to-use software offering, powered by NVIDIA AI. Currently optimized for credit card transaction fraud, the blueprint could be adapted for use cases such as new account fraud, account takeover and money laundering. Using Accelerated Computing and Graph Neural Networks for Fraud Detection Traditional data science pipelines lack the compute acceleration to handle the massive data volumes required for effective fraud detection. ML models like XGBoost are effective for detecting anomalies in individual transactions but fall short when fraud involves complex networks of linked accounts and devices. Helping address these gaps, NVIDIA RAPIDS — part of the NVIDIA CUDA-X collection of microservices, libraries, tools and technologies — enables payment companies to speed up data processing and transform raw data into powerful features at scale. These companies can fuel their AI models and integrate them with graph neural networksto uncover hidden, large-scale fraud patterns by analyzing relationships across different transactions, users and devices. The use of gradient-boosted decision trees — a type of ML algorithm — tapping into libraries such as XGBoost, has long been the standard for fraud detection. The new AI Blueprint for financial fraud detection enhances the XGBoost ML model with NVIDIA CUDA-X Data Science libraries including GNNs to generate embeddings that can be used as additional features to help reduce false positives. The GNN embeddings are fed into XGBoost to create and train a model that can then be orchestrated. In addition, NVIDIA Dynamo-Triton, formerly NVIDIA Triton Inference Server, boosts real-time inferencing while optimizing AI model throughput, latency and utilization. NVIDIA CUDA-X Data Science and Dynamo-Triton are included with NVIDIA AI Enterprise. Leading Financial Services Organizations Adopt AI During a time when many large North American financial institutions are reporting online or mobile fraud losses continue to increase, AI is helping to combat this trend. American Express, which began using AI to fight fraud in 2010, leverages fraud detection algorithms to monitor all customer transactions globally in real time, generating fraud decisions in just milliseconds. Using a combination of advanced algorithms, one of which tapped into the NVIDIA AI platform, American Express enhanced model accuracy, advancing the company’s ability to better fight fraud. European digital bank bunq uses generative AI and large language models to help detect fraud and money laundering. Its AI-powered transaction-monitoring system achieved nearly 100x faster model training speeds with NVIDIA accelerated computing. BNY announced in March 2024 that it became the first major bank to deploy an NVIDIA DGX SuperPOD with DGX H100 systems, which will help build solutions that support fraud detection and other use cases. And now, systems integrators, software vendors and cloud service providers can integrate the new NVIDIA blueprint for fraud detection to boost their financial services applications and help keep customers’ money, identities and digital accounts safe. Explore the NVIDIA AI Blueprint for financial fraud detection and read this NVIDIA Technical Blog on supercharging fraud detection with GNNs. Learn more about AI for fraud detection by visiting the AI Summit at Money20/20, running this week in Amsterdam. See notice regarding software product information. #bring #receipts #new #nvidia #blueprint

Despite its appearance as just another arcady sandbox game, Deliver At All Costs is shockingly story-minded. So much so, that its constant focus on narrative might deter those just looking for some dumb fun. And after seeing the narrative through to the end, I wouldn’t blame them, given how hard the game tries to be a grand tapestry of storytelling excellence. The adventure is structured into three acts, each with a unique town to explore and complete missions in. One act even features a time skip accompanied by a moment of no return. So even if you just want to ignore story and focus on acing deliveries and causing mayhem in the streets, you still have to go through some cutscenes and narrative progression to unlock the next towns and side missions.   "The majority of the side content in Deliver At All Costs isn’t very enticing." Not that the side missions are worth doing anyway. The majority of side content in Deliver At All Costs isn’t very enticing. The rewards aren’t worth it and the fetch quest design doesn’t warrant the effort. I’d only recommend going out of your way for the side content if you’re already keen on exploring the various maps. The treasure chests and small boxes hidden throughout the game give cash that is used on materials for vehicle upgrades; however, a majority of upgrades can be purchased from the main story mission rewards anyway. I expected to have fun with the vehicle upgrades, but ended up sorely disappointed in their limited application. This is because upgrades cannot be used outside of curated story missions; bummer. Not that the crane attachment or extreme hauling capacity upgrade aren’t fun to play with; they are rather fun, but exclusively used for their particular missions. Again, if you’re expected a zany vehicular sandbox with a lot of options and unlockables, Deliver At All Costs isn’t that. The reason I keep associating the game with sandbox playability is due to its map design. It has an old-school 2D Grand Theft Auto style of isometric driving. In between story missions, you’re given the leisure to roam around town freely. All of your driving and running around is done through a top-down isometric camera angle that gives the environments a nice diorama look to them, and what’s more, you can move the camera between two different angles in case it’s difficult to see something. "Speaking of scenery, there’s a surprising amount of activity going on while you’re driving around delivering stuff." All the unique shops and landmarks of this diorama give off a classic vibe well. Oh, and the soundtrack fits the setting wonderfully. Lounge jazz and instrumental surfer rock accompany your deliveries, and it rarely gets repetitive. Tying it into GTA even more is the radio, with infrequent broadcasts that add flavor lore to the setting. Each town has multiple districts, each with their own theme, which helps vary up the scenery just that much more. Speaking of scenery, there’s a surprising amount of activity going on while you’re driving around delivering stuff. NPCs go about their business, birds glide across the sky, and plenty of vehicle traffic accompany the streets. In fact, there’s often a tad too much activity. Streets are so packed with cars and people that collisions are unavoidable. "NPCs roam the streets and become aggressive when threatened." I like how populated the game is, but it’s tuned a bit too high, getting in the way of enjoyability a lot of the time. Perhaps, it would have been better balanced to up the street traffic the further you get into the game, especially since the towns progress from rural to metropolitan through the course of the narrative. At the very least, there’s an attractive mini-map with well designed labels and indicators. Navigation is aided with helpful arrows showing the way to a mission destination too. But you aren’t merely delivering parcels to a destination in a given time limit; there’s a variety of ways the game mixes up its missions. Part of the game’s initial draw is its physics-based driving, which manifests in hilarious ways. One of the first missions tasks you with delivering a truck full of rotted watermelons. The first step is to bring them to a sanitizer, then you paint them so they look presentable, all while avoiding traffic and trying not to knock them over as they roll around in the back of the truck. It’s one of the enjoyable missions in the game, and one that demonstrates the physics gameplay best. I like how the missions get progressively more wacky and clever as you progress too. You even become a UFO hunter during one late-game job. It’s just too bad the very high traffic and wonky controls hamper the overall experience. "I like how the missions get progressively more wacky and clever as you progress." The driving controls are rather simple. Just aim in the direction you want to drive and hold the accelerate button. It’s the high sensitivity of the acceleration and the hard braking and turning that contribute to a somewhat frustrating experience. The high traffic just further compounds the controls to make for a somewhat clunky driving experience. Vehicles don’t differ in how they drive either, though you really only have the one truck for a large majority of the game anyway, so it doesn’t really make a difference. And the cars aren’t great to look at either. Heck, nothing looks particularly nice in the game, especially the characters. Facial animations are frankly bad and the bland art style doesn’t make up for the graphical shortcomings. What’s worse is there’s still some pretty substantial load times in-between regions, which hurts the flow of the open-world. But the element that gets hurt from graphics the most is the mixed story. It’s hard to take the drama seriously when its presented so poorly. There’s an attempt at cinematic camera angles during cutscenes, but textures are featureless and close-ups of people’s faces are serious PS1 quality stuff. Thankfully, a handful of characters are quite likable despite what their low poly models suggest. Winston’s delivery mates have surprising depth and a good amount of backstory. And Winston himself is a fully fledged personality and someone you can imagine working with. "Winston’s delivery mates have surprising depth and a good amount of backstory." Characters like Norman are instantly likeable while Winston’s arch-nemesis and hardline boss, Donovon, is perfectly punchable. I’m also impressed with a majority of the dialogue writing. Characters speak with a down-to-earth tone and level of informality that makes them realistic, even if they look like untextured Unity assets. Going back to where I started the review, the game goes surprisingly hard on the story axis, but it doesn’t fully land for me. The wacky yet earnest tone is great, but the execution of the plot doesn’t wrap up in a satisfying way. Winston’s mysterious past and the true motives of the delivery company’s executives had so much potential for an intriguing narrative thread. But alas, the finale just kinda falls flat without the payoff that the game was teasing. "The game goes surprisingly hard on the story front, but it didn’t fully land for me." As a whole, Delivery At All Costs delivers a zany and fun, though frustrating, isometric delivery experience with a story that tries a bit too hard. I can easily see this game being a cult classic, but for a majority of gamers, it won’t deliver a truly stunning experience. If you’re looking for a game with a wacky and inventive premise that experiments a bit, and don’t mind gameplay and graphics from three generations ago, give Deliver At All Costs a try and it might just deliver. This game was reviewed on the PlayStation 5. #deliver #all #costs #review #lukewarm

A team of Purdue University students recently set a new Guinness World Record with their custom robot that solved a Rubik’s Cube in just 0.103 seconds. That was about a third of the time it took the previous record-setting bot. But the new record wasn’t achieved by simply building a robot that moves faster. The students used a combination of high-speed but low-res camera systems, a cube customized for improved strength, and a special solving technique popular among human speed cubers.The Rubik’s Cube-solving robot arms race kicked off in 2014, when a robot called Cubestormer 3 built with Lego Mindstorms parts and a Samsung Galaxy S4 solved the iconic puzzle in 3.253 seconds — faster than any human or robot could at the time.Over the course of a decade, engineers managed to reduce that record to just hundreds of milliseconds.Last May, engineers at Mitsubishi Electric in Japan claimed the world record with a robot that solved a cube in 0.305 seconds. The record stood for almost a year before the team from Purdue’s Elmore Family School of Electrical and Computer Engineering — Junpei Ota, Aden Hurd, Matthew Patrohay, and Alex Berta — shattered it. Their robot has come to be known as Purdubik’s Cube. Bringing the robot record down to less than half a second required moving away from Lego and, instead, using optimized components like industrial motors. Getting it down to just 0.103 seconds, however, required the team from Purdue to find multiple new ways to shave off milliseconds.“Each robot that previous world record-holders has done has kind of focused on one new thing,” Patrohay tells The Verge. When MIT grad students broke the record in 2018, they opted for industrial hardware that outperformed what previous record-holders had used. Mitsubishi Electric chose electric motors that were better suited for the specific task of spinning each side of the cube, instead of just hardware that moved faster.However, the first thing the Purdue students improved was actually the speed that their robot could visualize the scrambled cube. Human speed cubing competitors are allowed to study a Rubik’s Cube before their timer starts, but the robot record includes the time it takes it to determine the location of all the colored squares. The students used a pair of high-speed machine vision cameras from Flir, with a resolution of just 720x540 pixels, pointed at opposing corners of the cube. Each camera can see three sides simultaneously during exposures that lasted as little as 10 microseconds.The Purdubik’s Cube’s high-speed Flir cameras use wide-angle lenses, and the Rubik’s Cube appears in only a very small region of their field of view. The color detection system relies on low-resolution images of the puzzle, which speeds up processing times. Photo: Matthew Patrohay / Purdue UniversityAlthough it may seem instantaneous, it takes time for a camera to process the data coming from a sensor and turn it into a digital picture. The Purdubik’s Cube uses a custom image detection system that skips image processing altogether. It also only focuses on a very small area of what each camera’s sensor sees — a cropped region that’s just 128x124 pixels in size — to reduce the amount of data being moved around.Raw data from the sensors is sent straight to a high-speed color detection system that uses the RGB measurements from even smaller sample areas on each square to determine their color faster than other approaches — even AI.“It’s sometimes slightly less reliable,” Patrohay admits, “but even if it’s 90 percent consistent, that’s good enough as long as it’s fast. We really want that speed.”Despite a lot of the hardware on Purdue’s robot being custom-made, the team chose to go with existing software when it came to figuring out the fastest way to solve a scrambled cube. They used Elias Frantar’s Rob-Twophase, which is a cube-solving algorithm that takes into account the unique capabilities of robots, like being able to spin two sides of a cube simultaneously.The team also took advantage of a Rubik’s Cube-solving technique called corner cutting where you can start to turn one side of the cube before you’ve finished turning another side that’s perpendicular to it. The advantage to this technique is that you’re not waiting for one side to completely finish its rotation before starting another. For a brief moment, there’s overlap between the movements of the two sides that can result in a significant amount of time saved when you’re chasing a world record.High-speed footage of the Purdubik’s Cube reveals how it uses the corner-cutting technique to overlap movements and reduce the time it takes to solve the Rubik’s Cube. Photo: Matthew Patrohay / Purdue UniversityThe challenge with corner cutting is that if you use too much forceand don’t time things perfectly, you can physically break or even completely destroy a Rubik’s Cube. In addition to perfecting the timing of the robot’s movements and the acceleration of its motors, the students had to customize the cube itself.Guinness World Records follows the guidelines of the World Cube Association, which has a long list of regulations that need to be followed before a record will be recognized. It allows competitors to modify their cube, so long as it twists and turns like a standard Rubik’s Cube and has nine colored squares on each of its six sides, with each side a different color. Materials other than plastic can be used, but the color parts all need to have the same texture. To improve its durability, the Purdue team upgraded the internal structure of their cubes with a custom 3D-printed version made from stronger SLS nylon plastic. The WCA also allows the use of lubricants to help make cubes spin more freely, but here it’s used for a different reason.“The cube we use for the record is tensioned incredibly tight, like almost hilariously tight,” says Patrohay. “The one that we modified is very difficult to turn. Not impossible, but you can’t turn it with your fingers. You have to really get your wrist into it.” When solving the cube at high speeds, the lubricant helps to smooth out its movements while the increased tension reduces overturns and improves control so time-saving tricks like corner cutting can be used.Each of the robot’s six servo motors connect to the Rubik’s Cube center squares using a custom-made metal shaft that spins each side. Photo: Matthew Patrohay / Purdue UniversityFaster servo motors do help to reduce solving times, but it’s not as simple as maxing out their speed and hoping for the best. The Purdubik’s Cube uses six motors attached to metal shafts that slot into the center of each side of the cube. After testing several different approaches the team settled on a trapezoidal motion profile where the servos accelerate at speeds of up to 12,000,000 degrees/s2, but decelerate much slower, closer to 3,000,000 degrees/s2, so the robot can more accurately position each side as it comes to a stop.Could the Purdubik’s Cube break the record again? Patrohay believes it’s possible, but it would need a stronger cube made out of something other than plastic. “If you were to make a completely application-specific Rubik’s Cube out of some sort of carbon fiber composite, then I could imagine you being able to survive at higher speeds, and just being able to survive at higher speeds would then allow you to bring the time down.”See More: #how #college #students #built #fastest

Strava drama has become the name of the game in the fitness tracking world. I suppose when your favorite fitness app also includes a social media element, a little tension is inevitable. Add competitive leaderboards into the mix, and you've got a recipe for intrigue that would make reality TV producers salivate.If you're tuned into leaderboard controversies, you'll know that runners and cyclists are deeply divided on whether the platform is doing too much—or not nearly enough—to combat fake entries. If you ask me, when some users are deploying electric unicycles to dominate local climbing segments, that's evidence enough something needs to be done. And now Strava is doing something: The company has announced the launch of AI-enabled Leaderboard Integrity, a new tool intended to separate legitimate athletes from creative cheaters. How Strava is using AI to root out cheatersFor the uninitiated, the reason people cheat is usually to claim King of the Mountainand Queen of the Mountaintitles—coveted crowns that represent the fastest times on specific segments. Peruse the Strava subreddit for a few minutes, and you'll be sure to see grievances about leaderboard cheaters. Strava's latest update is designed to identify and flag "irregular, improbable, or impossible" performance recorded on the platform. The system acts as a digital referee, capable of detecting when an impossibly fast e-bike ride has been mislabeled as a regular cycling effort, then politely prompting users to correct their entries.The technology goes beyond simple speed checks. Strava revealed in February that its machine learning system analyzes activities using 57 different factors, including speed patterns, elevation gains, and acceleration data, to determine when something doesn't add up. The result of this crackdown? Strava has already removed 4.45 million activities from its platform. The deleted activities generally fall into two main categories: entries uploaded with the wrong sport typeand activities recorded while in a vehicle. To be fair, the latter category likely includes everything from users forgetting to stop their tracking while driving home, to more deliberate attempts to game the system by recording car or train journeys as part of legitimate running segments.How Strava users are reactingThe fitness community's reaction to Strava's cheater detection has been characteristically split. Serious athletes and segment hunters generally applaud the stricter measures—after all, leaderboard integrity is what makes the app's competitive element at all meaningful. If the numbers are fraud, what's the point?However, some users worry about false positives—that is, legitimate exceptional performances getting flagged by overzealous algorithms. And the AI is overzealous: Some users have commented that their personal records are being deleted without any sort of prompt or ability to dispute the AI's findings. If you're a serious athlete, seeing your genuinely impressive times being questioned by an automated system that might not account for peak human performance is naturally going to rankle.Outside of leaderboard integrity, Strava's AI initiatives are generally overzealous and inaccurate. I'm not alone in noticing how absurd its new route generation can get. I'm talking routes with concentric loops, cutting through buildings, major roads instead of residential paths, and other issues that will make no sense to a real human moving through the world. Given the immense heat map data that we've all effectively donated to Strava, to be given such shoddy AI-generated routes is fairly bonkers, and it's hardly surprising that its cheat-detecting tools would also be less than precise.The bottom lineControversy aside, Strava's competitive features should be more about personal motivation than serious competition. If cheater detection is ruining your experience, I recommend some perspective. Try not to let it spoil what should be a fun, social fitness experience—especially given the AI tools don'tseem accurate enough to reflect reality.But with 4.45 million activities already in the digital trash bin, Strava's message is clear: The days of easily gaming the leaderboards are over. Of course, as fitness tracking technology continues to evolve, so too will the methods people use to fool the system. Hopefully Strava stays one step ahead of creative rule-benders. #how #strava #using #tools #crack

Air travel is such a common part of modern life that it’s easy to forget all the miraculous technology and communication infrastructure required to do it safely. But recent crashes, including near Washington, DC, and in San Diego — not to mention multiple near misses — have left many fliers wondering: Is it still safe to fly?That concern is particularly acute at Newark Liberty International Airport in New Jersey, which has recently experienced several frightening incidents and near misses in as radio and radar systems have gone dark. This has left an under-staffed and overworked group of air traffic controllers to manage a system moving at a frenetic pace with no room for error.Andrew Tangel, an aviation reporter for the Wall Street Journal, recently spoke to Jonathan Stewart, a Newark air traffic controller. In early May, Stewart experienced a brief loss of the systems showing him the locations of the many planes was directing. When the systems came back online, he realized there’d almost been a major crash.According to Tangel, Stewart “sent off a fiery memo to his managers, complaining about how he was put in that situation, which he felt he was being set up for failure.” Stewart now is taking trauma leave because of the stresses of the job. After many delayed flights, United Airlines just announced that it will move some of its flights to nearby John F. Kennedy International Airport. To understand how we arrived at our current aviation crisis, Today, Explained co-host Sean Rameswaram spoke with Darryl Campbell, an aviation safety writer for The Verge.Below is an excerpt of their conversation, edited for length and clarity. There’s much more in the full episode, so listen to Today, Explained wherever you get your podcasts, including Apple Podcasts, Pandora, and Spotify. You recently wrote about all these issues with flying for The Verge — and your take was that this isn’t just a Newark, New Jersey, problem. It’s systemic. Why?You’ve probably seen some of the news articles about it, and it’s really only in the last couple months because everybody’s been paying attention to aviation safety that people are really saying, Oh my gosh!Newark airport is losing the ability to see airplanes. They’re losing radar for minutes at a time, and that’s not something you want to hear when you have airplanes flying towards each other at 300 miles an hour. So it is rightfully very concerning. But the thing is, what’s been happening at Newark has actually been happening for almost a decade and a half in fits and starts. It’ll get really bad, and then it’ll get better again. Now we’re seeing a combination of air traffic control problems; we’re seeing a combination of infrastructure problems, and they’ve got a runway that’s entirely shut down. And the way that I think about it is, while Newark is its own special case today, all of the problems that it’s facing, other than the runway, are problems that every single airport in the entire country is going to be facing over the next five to 10 years, and so we’re really getting a preview of what’s going to happen if we don’t see some drastic change in the way that the air traffic control system is maintained.We heard about some of these issues after the crash at DCA outside Washington. What exactly is going on with air traffic controllers?The first problem is just one of staff retention and training. On the one hand, the air traffic control system and the people who work there are a pretty dedicated bunch, but it takes a long time to get to the point where you’re actually entrusted with airplanes. It can be up to four years of training from the moment that you decide, Okay, I want to be an air traffic controller. Couple that with the fact that these are government employees and like many other agencies, they haven’t really gotten the cost-of-living increases to keep pace with the actual cost of living, especially in places like the New York and New Jersey area, where it’s just gone up way faster than in the rest of the country.This is bad at Newark, but you say it promises to get bad everywhere else too. The cost of living is still outpacing the replacement level at a lot of these air traffic control centers. And the washout rate is pretty high. We’ve seen the average staffing level at a lot of American airports get down below 85, 80 percent, which is really where the FAA wants it to be, and it’s getting worse over time. At Newark in particular, it’s down to about 58 percent as of the first quarter of this year. This is an emergency level of staffing at a baseline. And then on top of that, you have — in order to keep the airplanes going — people working mandatory overtime, mandatory six-days-a-week shifts, and that’s accelerating that burnout that naturally happens. There’s a lot of compression and a lot of bad things happening independently, but all at the same time in that kind of labor system that’s really making it difficult to both hire and retain qualified air traffic controllers.These sound like very fixable problems, Darryl. Are we trying to fix them? I know former reality TV star and Fox News correspondent — and transportation secretary, in this day and age — Sean Duffy has been out to Newark. He said this: “What we are going to do when we get the money. We have the plan. We actually have to build a brand new state-of-the-art, air traffic control system.”To his credit, they have announced some improvements on it. They’ve announced a lot of new funding for the FAA. They’ve announced an acceleration of hiring, but it’s just a short-term fix. To put it in context, the FAA’s budget usually allocates about billion in maintenance fees every year. And so they’ve announced a couple billion more dollars, but their backlog already is billion in maintenance. And these are things like replacing outdated systems, replacing buildings that are housing some of these radars, things that you really need to just get the system to where it should be operating today, let alone get ahead of the maintenance things that are going to happen over the next couple of years. It’s really this fight between the FAA and Congress to say, We’re going to do a lot today to fix these problems.And it works for a little while, but then three years down the road, the same problems are still occurring. You got that one-time shot of new money, but then the government cuts back again and again and again. And then you’re just putting out one fire, but not addressing the root cause of why there’s all this dry powder everywhere.People are canceling their flights into or out of Newark, but there are also all these smaller accidents we’re seeing, most recently in San Diego, where six people were killed when a Cessna crashed.How should people be feeling about that?There’s really no silver bullet and all the choices are not great to actively bad at baseline. Number one is you get the government to pay what it actually costs to run the air traffic control system. That empirically has not happened for decades, so I don’t know that we’re going to get to do it, especially under this administration, which is focused on cutting costs.The second thing is to pass on fees to fliers themselves. And it’s just like the conversation that Walmart’s having with tariffs — they don’t want to do it. When they try to pass it on to the customer, President Trump yells at them, and it’s just not a great situation. The third option is to reduce the number of flights in the sky. Part of this is that airlines are competing to have the most flights, the most convenient schedules, the most options. That’s led to this logjam at places like Newark, where you really have these constraints on it. Right before all of this stuff happens, Newark was serving about 80 airplanes an hour, so 80 landings and takeoffs. Today, the FAA’s actually started to admit restrictions on it, and now it’s closer to 56 flights an hour, and that’s probably the level that it can actually handle and not have these issues where you have planes in danger.But no airline wants to hear, Hey, you have to cut your flight schedule. We saw that with United: Their CEO was saying that the air traffic controllers who took trauma leave had “walked off the job,” which seemed to suggest that he didn’t think they should be taking trauma leave because you have to have more planes coming in. That’s a competitive disadvantage for him, but you also have to balance safety. It’s difficult to understand. It costs a lot of money to fix. This is your textbook “why governments fail” case study and it’s not really reassuring that in 24 hours I’m going to be in the middle of it again, trying to fly out of Newark.See More: #crisis #american #air #travel #explained

3D printer manufacturer Bambu Lab has issued a new update after an early fix was withdrawn. Termed a critical calibration bug, the company has acted swiftly to deliver new code to its many users. The Shenzhen-based company has now released firmware version V01.01.02.07 for its H2D 3D printer through its Public Beta Program. Rolled out on May 23, this update introduces a comprehensive set of new features, performance enhancements, and critical bug fixes designed to elevate print quality, expand hardware compatibility, and offer users greater control. The release builds on feedback gathered from earlier beta phases. The Bambu Lab H2D Laser Full Combo in a workshop. Image via Bambu Lab. Features and Improvements Firmware V01.01.02.07 adds native support for the CyberBrick time-lapse kit. It also expands the H2D’s onboard AI failure detection system, now giving users the ability to individually toggle detection functions for nozzle clumping, spaghetti printing, air printing, and purge chute pile-ups from the printer’s interface. Hardware compatibility has been further extended. The AMS 2 Pro and AMS HT systems now support RFID-based automatic matching of drying parameters and can perform drying operations without rotating spools. Additionally, the Laser & Cut module can now initiate tasks directly from USB drive files, improving workflow support. Performance updates include improved foreign object detection on the smooth PEI plate, better regulation of heatbed temperatures, enhanced first-layer quality, more reliable chamber temperature checks before printing begins, and improved accuracy of laser module flame detection. The update also enhances the accuracy of nozzle clumping and nozzle camera dirty detection, while optimizing the pre-purging strategy. A collision issue between the nozzle flow blocker and nozzle wiper—previously triggered during flow dynamics calibration—has been resolved. Calibration reliability for the liveview camera has also improved, and issues with pre-extrusion lines sticking to prints during layer transitions have been addressed. Bambu Lab H2D Launch. Image via Bambu Lab. However, two known issues remain in this beta release: detection of filament PTFE tube detachment is currently disabled, and users cannot adjust heatbed temperature via the Bambu Handy app. The latter is expected to be fixed in a future app update. This version replaces V01.01.02.04, which was briefly released on May 20 before being withdrawn due to a critical calibration bug. That earlier version caused the right nozzle to crash into the wiper during left-nozzle calibration, damaging the printer. The firmware also temporarily disabled filament detachment detection. Bambu Lab quickly pulled the update and advised users to revert to the previous stable firmware while working on a corrected release—now realized in version V01.01.02.07. Accessing the Firmware To access the beta firmware, users can opt into the Public Beta Program through the Bambu Handy app by navigating to the “Me” section and selecting “Beta Firmware Program.” Once enrolled, the update will be rolled out gradually. Participants can leave the program at any time and revert to the most recent stable firmware version. Bambu Lab recommends updating Bambu Studio Presets before installing the firmware to ensure full compatibility. Full technical documentation and the official changelog are available on Bambu Lab’s website. Bambu Lab Hardware Line: H2D and Beyond The new firmware update applies to the H2D 3D printer, Bambu Lab’s flagship desktop manufacturing system unveiled in March 2025. Designed for professional users, the H2D offers the company’s largest build volume to date—350 x 320 x 325 mm—and includes two new AMS systems with integrated filament drying. Dual-nozzle extrusion and servo-driven precision deliver high accuracy, while a 350°C hotend and 65°C heated chamber allow reliable printing with high-performance, fiber-reinforced materials. With a toolhead speed of up to 1000 mm/s and acceleration of 20,000 mm/s², the H2D is built for productivity without compromising quality. The Bambu Lab H2D’s digital cutter. Image via Bambu Lab. Bambu Lab’s broader portfolio also includes the X1E, released in 2023 as an enterprise-grade upgrade to its X1 series. Developed with professional and engineering applications in mind, the X1E features LAN-only connectivity for secure, offline operation, enhanced air filtration, and precise thermal regulation. An increased maximum nozzle temperature expands its material compatibility, making it suitable for demanding industrial applications. At its core, the X1E builds on the proven performance of the X1 Carbon, extending the system’s capabilities for use in sensitive or regulated environments. Take the 3DPI Reader Survey — shape the future of AM reporting in under 5 minutes. Who won the 2024 3D Printing Industry Awards? Subscribe to the3D Printing Industry newsletter to keep up with the latest 3D printing news. You can also follow us on LinkedIn, and subscribe to the 3D Printing Industry Youtube channel to access more exclusive content. Featured image shows Bambu Lab H2D Launch. Image via Bambu Lab. Paloma Duran Paloma Duran holds a BA in International Relations and an MA in Journalism. Specializing in writing, podcasting, and content and event creation, she works across politics, energy, mining, and technology. With a passion for global trends, Paloma is particularly interested in the impact of technology like 3D printing on shaping our future. #new #bambu #labs #update #after

Jesse Armstrong loves to pull fictional stories out of reality. His universally acclaimed TV show Succession, for instance, was inspired by real-life media dynasties like the Murdochs and the Hearsts. Similarly, his newest film Mountainhead centers upon characters that share key traits with the tech world’s most powerful leaders: Elon Musk, Mark Zuckerberg, Sam Altman, and others.Mountainhead, which releases on HBO on May 31 at 8 p.m. ET, portrays four top tech executives who retreat to a Utah hideaway as the AI deepfake tools newly released by one of their companies wreak havoc across the world. As the believable deepfakes inflame hatred on social media and real-world violence, the comfortably-appointed quartet mulls a global governmental takeover, intergalactic conquest and immortality, before interpersonal conflict derails their plans.Armstrong tells TIME in a Zoom interview that he first became interested in writing a story about tech titans after reading books like Michael Lewis’ Going Infiniteand Ashlee Vance’s Elon Musk: Tesla, SpaceX, and the Quest for a Fantastic Future, as well as journalistic profiles of Peter Thiel, Marc Andreessen, and others. He then built the story around the interplay between four character archetypes—the father, the dynamo, the usurper, and the hanger-on—and conducted extensive research so that his fictional executives reflected real ones. His characters, he says, aren’t one-to-one matches, but “Frankenstein monsters with limbs sewn together.” These characters are deeply flawed and destructive, to say the least. Armstrong says he did not intend for the film to be a wholly negative depiction of tech leaders and AI development. “I do try to take myself out of it, but obviously my sense of what this tech does and could do infuses the piece. Maybe I do have some anxieties,” he says. Armstrong contends that the film is more so channeling fears that AI leaders themselves have warned about. “If somebody who knows the technology better than anyone in the world thinks there's a 1/5th chance that it's going to wipe out humanity—and they're some of the optimists—I think that's legitimately quite unnerving,” he says. Here’s how each of the characters in Mountainhead resembles real-world tech leaders. This article contains spoilers. Venisis the dynamo.Cory Michael Smith in Mountainhead Macall Polay—HBOVenis is Armstrong’s “dynamo”: the richest man in the world, who has gained his wealth from his social media platform Traam and its 4 billion users. Venis is ambitious, juvenile, and self-centered, even questioning whether other people are as real as him and his friends. Venis’ first obvious comp is Elon Musk, the richest man in the real world. Like Musk, Venis is obsessed with going to outer space and with using his enormous war chest to build hyperscale data centers to create powerful anti-woke AI systems. Venis also has a strange relationship with his child, essentially using it as a prop to help him through his own emotional turmoil. Throughout the movie, others caution Venis to shut down his deepfake AI tools which have led to military conflict and the desecration of holy sites across the world. Venis rebuffs them and says that people just need to adapt to technological changes and focus on the cool art being made. This argument is similar to those made by Sam Altman, who has argued that OpenAI needs to unveil ChatGPT and other cutting-edge tools as fast as possible in order to show the public the power of the technology. Like Mark Zuckerberg, Venis presides over a massively popular social media platform that some have accused of ignoring harms in favor of growth. Just as Amnesty International accused Meta of having “substantially contributed” to human rights violations perpetrated against Myanmar’s Rohingya ethnic group, Venis complains of the UN being “up his ass for starting a race war.”Randallis the father.Steve Carell in Mountainhead Macall Polay—HBOThe group’s eldest member is Randall, an investor and technologist who resembles Marc Andreessen and Peter Thiel in his lofty philosophizing and quest for immortality. Like Andreessen, Randall is a staunch accelerationist who believes that U.S. companies need to develop AI as fast as possible in order to both prevent the Chinese from controlling the technology, and to ostensibly ignite a new American utopia in which productivity, happiness, and health flourish. Randall’s power comes from the fact that he was Venis’ first investor, just as Thiel was an early investor in Facebook. While Andreessen pens manifestos about technological advancement, Randall paints his mission in grandiose, historical terms, using anti-democratic, sci-fi-inflected language that resembles that of the philosopher Curtis Yarvin, who has been funded and promoted by Thiel over his career. Randall’s justification of murder through utilitarian and Kantian lenses calls to mind Sam Bankman-Fried’s extensive philosophizing, which included a declaration that he would roll the dice on killing everyone on earth if there was a 51% chance he would create a second earth. Bankman-Fried’s approach—in embracing risk and harm in order to reap massive rewards—led him to be convicted of massive financial fraud. Randall is also obsessed with longevity just like Thiel, who has railed for years against the “inevitability of death” and yearns for “super-duper medical treatments” that would render him immortal. Jeffis the usurper.Ramy Youssef in Mountainhead Macall Polay—HBOJeff is a technologist who often serves as the movie’s conscience, slinging criticisms about the other characters. But he’s also deeply embedded within their world, and he needs their resources, particularly Venis’ access to computing power, to thrive. In the end, Jeff sells out his values for his own survival and well-being. AI skeptics have lobbed similar criticisms at the leaders of the main AI labs, including Altman—who started OpenAI as a nonprofit before attempting to restructure the company—as well as Demis Hassabis and Dario Amodei. Hassabis is the CEO of Google Deepmind and a winner of the 2024 Nobel Prize in Chemistry; a rare scientist surrounded by businessmen and technologists. In order to try to achieve his AI dreams of curing disease and halting global warning, Hassabis enlisted with Google, inking a contract in 2014 in which he prohibited Google from using his technology for military applications. But that clause has since disappeared, and the AI systems developed under Hassabis are being sold, via Google, to militaries like Israel’s. Another parallel can be drawn between Jeff and Amodei, an AI researcher who defected from OpenAI after becoming worried that the company was cutting back its safety measures, and then formed his own company, Anthropic. Amodei has urged governments to create AI guardrails and has warned about the potentially catastrophic effects of the AI industry’s race dynamics. But some have criticized Anthropic for operating similarly to OpenAI, prioritizing scale in a way that exacerbates competitive pressures. Souperis the hanger-on. Jason Schwartzman in Mountainhead Macall Polay—HBOEvery quartet needs its Turtle or its Ringo; a clear fourth wheel to serve as a punching bag for the rest of the group’s alpha males. Mountainhead’s hanger-on is Souper, thus named because he has soup kitchen money compared to the rest. In order to prove his worth, he’s fixated on getting funding for a meditation startup that he hopes will eventually become an “everything app.” No tech exec would want to be compared to Souper, who has a clear inferiority complex. But plenty of tech leaders have emphasized the importance of meditation and mindfulness—including Twitter co-founder and Square CEO Jack Dorsey, who often goes on meditation retreats. Armstrong, in his interview, declined to answer specific questions about his characters’ inspirations, but conceded that some of the speculations were in the right ballpark. “For people who know the area well, it's a little bit of a fun house mirror in that you see something and are convinced that it's them,” he says. “I think all of those people featured in my research. There's bits of Andreessen and David Sacks and some of those philosopher types. It’s a good parlor game to choose your Frankenstein limbs.” #real #life #tech #execs #that