Tesla Collaborates with DeepSeek and ByteDance for AI Voice Assistant Launch in China

Tesla Launches AI-Powered Voice Assistant in China

Tesla has unveiled a new AI-powered voice assistant for its electric vehicles in China, developed in collaboration with DeepSeek and ByteDance. The feature, named “Hey Tesla,” is designed to provide drivers with natural voice control over navigation, media, and cabin functions. This move marks an important step in Tesla’s efforts to enhance the user experience for its Chinese customers.

The voice assistant leverages advanced AI models from both DeepSeek and ByteDance. Specifically, ByteDance’s Doubao large language model will manage voice commands such as adjusting the air conditioning, setting routes, and controlling entertainment. Meanwhile, DeepSeek’s chatbot will handle more conversational tasks, including providing news updates, weather information, and engaging in casual interactions. These models operate on ByteDance’s Volcano Engine cloud platform, which ensures real-time processing of requests through an encrypted API.

The system was initially launched with the new six-seat Model Y L SUV, which became available in August. Unlike older Tesla models in China that required pressing a steering wheel button to activate voice commands, the Model Y L supports a wake phrase. Drivers can now say “Hey Tesla” or set a custom word to activate the assistant hands-free, making the experience more intuitive and convenient.

Tesla’s decision to partner with DeepSeek and ByteDance highlights its broader strategy to localize features for the Chinese market. Domestic competitors like BYD, Nio, and Xpeng have already integrated advanced AI voice assistants into their vehicles, offering a competitive edge in terms of customer experience. By incorporating these local AI solutions, Tesla aims to bridge the gap and better compete with homegrown brands in one of the world’s most significant automotive markets.

In contrast, Tesla continues to use Grok, the AI model developed by Elon Musk’s startup xAI, in the United States. This regional approach underscores Tesla’s strategy to tailor its technology to meet specific regulatory and consumer expectations in different markets. Similar strategies are being adopted by other automakers, such as BMW, which has partnered with Alibaba’s QWen LLM for its Chinese lineup.

While Tesla has not yet confirmed when the new voice assistant will be available on other models in China, the company’s updated terms of service mention the integration. However, some owners have reported that they have not received the feature in recent over-the-air updates. Despite this delay, Tesla is clearly signaling that in-car intelligence is becoming a key factor in competing within the world’s largest electric vehicle (EV) market.

Strategic Implications and Future Outlook

The introduction of the “Hey Tesla” voice assistant reflects a growing trend in the automotive industry, where AI-driven features are increasingly seen as essential for enhancing user engagement and satisfaction. As consumers become more accustomed to smart technology in their daily lives, the demand for seamless, intuitive in-vehicle experiences is rising.

By integrating AI voice assistants, Tesla is not only improving the functionality of its vehicles but also positioning itself as a leader in innovation. The ability to interact with a car using natural language opens up new possibilities for convenience, safety, and personalization. For instance, drivers can now ask for directions, adjust settings, or even access entertainment without taking their hands off the wheel, reducing distractions and improving overall driving experiences.

Moreover, the use of localized AI models allows Tesla to better understand and respond to the unique needs of Chinese consumers. This level of customization can lead to higher customer satisfaction and loyalty, which is crucial in a highly competitive market.

Looking ahead, it is likely that Tesla will continue to invest in AI technologies to further enhance its vehicles. As the company expands the availability of the “Hey Tesla” assistant to more models, it may also explore additional features and integrations that could differentiate its offerings from those of its competitors.

In summary, Tesla’s partnership with DeepSeek and ByteDance represents a strategic move to strengthen its presence in the Chinese market. By leveraging advanced AI capabilities, the company is not only addressing current consumer demands but also laying the groundwork for future innovations that could shape the future of mobility.

QCOM Surges in V2X Market: A Growth Game-Changer?

Qualcomm's Strategic Move in the V2X Market

Qualcomm Incorporated has been steadily increasing its presence in the vehicle-to-everything (V2X) communication systems market. This growth has been fueled by the acquisition of Autotalks, a company known for its expertise in V2X technologies. The V2X system is becoming a crucial component in building safer and more efficient traffic systems. It enables communication between vehicles, pedestrians, and connected roadway infrastructure, creating a real-time information-sharing network that can alert drivers to various road hazards, weather conditions, and traffic signals. This technology also enhances advanced driver-assistance systems (ADAS) and automated driving features.

The C-V2X (Cellular Vehicle-to-Everything) technology has significantly improved ADAS by allowing vehicles to exchange real-time data with other vehicles (V2V), infrastructure (V2I), and pedestrians (V2P). As 5G adoption accelerates, the connectivity infrastructure required for V2X is becoming more robust. Qualcomm is capitalizing on this trend by expanding its Snapdragon Digital Chassis product portfolio. The integration of C-V2X capabilities into broader platforms and solutions, including the Snapdragon Digital Chassis, provides a comprehensive connected car experience. The successful integration of Autotalks has further strengthened Qualcomm’s position in this space.

Global Standards and Comprehensive Solutions

Autotalks’ V2X solutions are compliant with global communication standards such as DSRC (Dedicated Short-Range Communications) and C-V2X. With access to Autotalks’ extensive V2X expertise and technology, Qualcomm is able to offer a wide range of automotive-qualified global V2X solutions suitable for installation in vehicles, as well as 2-wheelers and roadside infrastructure. The company’s V2X chipsets provide production-ready standalone solutions that are specifically designed for global applications, making direct communication more widespread.

Other Tech Firms in the ADAS Market

NVIDIA Corporation is another major player in the ADAS market. The company offers a scalable AI computing platform tailored for ADAS and autonomous vehicles through its NVIDIA Drive initiative. This platform uses AI-powered perception via deep neural networks for object detection, lane recognition, and path planning. It also includes high-performance GPUs and software stacks for localization and control. The NVIDIA DRIVE Thor platform combines ADAS, cockpit, and autonomous driving capabilities into a single SoC. NVIDIA is collaborating with over 320 automakers, tier-one suppliers, and other industry players to develop and deploy AI systems for self-driving vehicles. Its focus on incorporating AI into the cockpit for infotainment systems is helping it grow its autonomous driving revenues.

Intel Corporation has also made significant strides in the ADAS market through the acquisition of Mobileye. This move has allowed Intel to quickly enter the autonomous car technology market, which is currently dominated by companies like NVIDIA and Qualcomm. Mobileye brings technologies related to cameras, in-car networking, sensor chips, roadway mapping, cloud software, machine learning, and data management. Intel envisions Mobileye as a key revenue generator, with a shift from low-cost, vision-only systems to premium ADAS software and SuperVision packages. Intel’s EyeQ6 and EyeQ Ultra chips are next-generation solutions targeting high compute and full autonomous capabilities.

Financial Performance and Outlook

Qualcomm shares have experienced a decline of 6.7% over the past year, while the industry as a whole has seen a growth of 38.7%. Based on the price/earnings ratio, the company’s shares currently trade at 13.31 forward earnings, which is lower than the industry average of 33.35. Earnings estimates for 2025 have increased by 0.9% to $11.85 per share over the past 60 days, while those for 2026 have moved up by 0.4% to $11.87. Qualcomm stock currently carries a Zacks Rank #3 (Hold). Investors interested in top-performing stocks can explore the complete list of today’s Zacks #1 Rank (Strong Buy) stocks.

Apple Reimagines Foldable iPhone Display to Minimize Crease

Apple's Approach to Foldable Technology

Samsung introduced its first foldable phone in 2019, which marked the beginning of a new era in smartphone design. For years, the tech giant has been experimenting with flexible displays and innovative form factors. However, it wasn't until recently that Apple started showing serious interest in entering the foldable market. According to recent reports, Apple is preparing to launch its own foldable iPhone in 2026. This development comes after several years of research and development, as the company aims to avoid the pitfalls that have plagued other manufacturers.

Rethinking the Display Strategy

One of the key areas Apple is focusing on is the display technology for its upcoming foldable device. According to Mark Gurman’s Power On newsletter, Apple initially planned to use on-cell touch sensors for its foldable iPhone. This technology is similar to what Samsung uses in its foldable devices. However, there are some drawbacks to this approach. On-cell technology can lead to air gaps between the screen and its cover, making the crease more noticeable. This is something Apple wants to avoid, as it could negatively impact the user experience.

To address this issue, Apple has reportedly shifted its focus to in-cell display technology. This is the same technology used in current smartphones, including the iPhone. In-cell technology integrates the touch layer within the display’s TFT layer, resulting in a thinner display and faster response times. This could potentially create a less obvious crease while also improving touch accuracy.

Understanding the Difference

The difference between on-cell and in-cell technology lies in how the touch sensors are integrated into the display. On-cell technology places the touch electrodes on the top layer of the OLED panel under the cover film. In contrast, in-cell technology embeds the touch layer directly within the display’s TFT layer. This not only reduces the thickness of the display but also enhances the overall performance.

Despite these advantages, Apple initially avoided using in-cell technology for its foldable device. The reason behind this decision is related to the engineering challenges associated with in-cell sensors. These sensors can be more susceptible to damage when used in flexible displays compared to rigid ones. Given Apple’s commitment to quality and durability, this posed a significant challenge. However, there are indications that Apple may have found a solution to this problem.

Launch Timeline and Specifications

If the rumors are accurate, Apple's foldable iPhone is expected to launch in 2026. Reports suggest that the production of the display has already begun. In terms of specifications, the device could be smaller than the Samsung Galaxy Z Fold 7. It is rumored to feature a 5.5-inch outer display and a 7.8-inch inner display. This is slightly smaller than the Fold 7, which has a larger 6.5-inch cover display and an 8-inch inner display.

While the exact price has not been confirmed, it is expected to be significantly higher than traditional iPhones. Given Apple’s pricing strategy, the foldable iPhone could range from $1,800 to $2,400. This price point reflects the advanced technology and premium design that Apple is aiming for with its foldable device.

Conclusion

Apple’s entry into the foldable market represents a major shift in the smartphone industry. By learning from the mistakes of its competitors and focusing on innovation, Apple aims to deliver a product that sets a new standard. With a focus on reducing creases and improving touch accuracy, the company is taking a thoughtful approach to its foldable iPhone. As the launch date approaches, consumers will be eagerly awaiting the release of this highly anticipated device.

Top 2025 smartphone features to skip

The Illusion of Innovation in Smartphones

Another year, another keynote. The stage is familiar, the CEO's black turtleneck returns, and the promises are grand. As the presentation unfolds, the déjà vu hits. The camera adds megapixels, the screen refreshes a little faster, and the processor is slightly quicker. Welcome to the innovation treadmill, where the annual release cycle is predictable and boring.

In a mature market with few real hardware breakthroughs, manufacturers trap themselves. They launch a new Android flagship every 12 months to drive sales, even when nothing meaningful is ready. The result is a parade of features that look great on a spec sheet but add little to daily use. Many of these "innovations" are gimmicks.

Here are the smartphone features that I believe get more hype than they deserve.

High Megapixels Are Misleading

Megapixel obsession is the industry's most misleading tactic. Many camera phones now feature 200-megapixel (200MP) sensors, implying pro-level detail. Reality is more complicated and less impressive. Image quality depends mainly on sensor size and lens quality, not pixel count.

Think of pixels as tiny light buckets. Larger buckets collect more light, which produces cleaner, more detailed images, especially in dim conditions. To cram 200 million pixels onto a small smartphone sensor, manufacturers must make each pixel very small. Small pixels collect less light and produce noisier images.

Manufacturers work around this with pixel binning. In most lighting, the phone combines data from a grid of tiny pixels, often 16, into one larger superpixel. This turns that touted 200MP sensor into an effective 12.5MP one. It's a workaround for a self-imposed problem. It aims to offer the best of both worlds, while underscoring the physical limits of ultra-high-resolution sensors. Full-resolution 200MP mode brings immediate drawbacks.

First, processing that much data adds a delay between pressing the shutter and capture. It's unsuitable for moving subjects. Second, a single 200MP photo can be 30MB to 60MB, quickly filling storage. Plus, sharing it often requires heavy compression, which wipes out much of the extra detail.

10x Optical Zoom Is More Useful Than 100x

The marketing for 100x Space Zoom looks impressive, showing crisp shots of the moon and distant landmarks. However, the feature relies on computational photography, not optics. Beyond a phone's true optical zoom range (usually 5x or 10x), you're using digital zoom, a fancy name for cropping and enlarging part of the frame.

To make these extreme zoom shots plausible, phones lean on generative AI. The software analyzes the blurry 100x crop and uses models to recover details, effectively guessing what the subject should look like. In past tests, users showed some phones overlaying a pre-existing moon texture on blurry shots, producing detailed but synthetic images.

Newer AI models improve usability, but the output still falls short of a true photograph. Results often look soft and painterly and lack fine detail. Even slight hand movement blurs the frame at extreme magnifications, so you need a tripod. It's a fun party trick, but for practical use, a clean 10x optical zoom is far more valuable than a fabricated 100x shot.

QHD vs. 4K Displays

You can't see the difference between QHD and 4K on a phone. A 4K smartphone screen offers little practical benefit. The reason is human visual acuity. Display sharpness is measured in pixels per inch (PPI). At a typical viewing distance of 10 to 12 inches, the human eye cannot distinguish individual pixels beyond a density of about 300 to 400 PPI.

A modern flagship phone with a Quad HD (QHD or 1440p) display already packs a PPI of around 500, far exceeding the threshold of human perception. A 4K screen on that device would push the PPI to over 700. This astronomical number provides no visible improvement in the sharpness of text, icons, or images. You cannot see the difference. However, you will notice the battery life hit. A 4K panel drives millions more pixels than QHD. Modern processors are efficient, but powering the extra pixels, especially during gaming or streaming, adds a steady drain. It trades battery life for a spec sheet number your eyes can't use.

Refresh Rates: 144Hz vs. 165Hz

The jump from a standard 60Hz to a 120Hz display was a game-changer. It made scrolling, animations, and gaming feel twice as smooth and responsive, a meaningful upgrade to the user experience. But now, manufacturers, particularly in the gaming phone space, are pushing the refresh rate race to 144Hz, 165Hz, and beyond.

The returns are diminishing. For general use, 120Hz is the sweet spot, delivering smooth motion without the extra power draw of higher rates. A few elite competitive mobile gamers might notice a difference. Most users won't. A 144Hz or 165Hz panel drains the battery for a benefit you won't see.

Ultra-Fast Charging and Battery Life

Charging from 0 to 100% in under 10 minutes sounds great, but ultra-fast 200W+ charging accelerates battery wear. Heat is the main enemy of lithium-ion cells. Forcing a large current into a battery in a short time raises temperatures. That heat speeds up the chemical degradation of internal components and permanently reduces capacity.

The real question is, who actually needs this? Moderate 45W or 65W charging can fill most phones in under an hour without the same heat stress. Is saving 30 minutes of charging time once a day worth sacrificing 20% of your phone's lifespan? For most people, the answer is a resounding no.

On-Device AI and RAM

On-device AI still doesn't justify 24GB of RAM. We now have phones with 24GB of RAM. For context, that's more than many gaming laptops. This is, without a doubt, one of the most pointless specifications ever put on a smartphone.

Android is designed to use as much available RAM as possible for caching. Even 12GB of RAM is more than enough to keep over a dozen demanding games and applications open in memory simultaneously without needing to reload. The performance benefit of jumping from 12GB to 16GB, let alone 24GB, is zero for most users. You will not feel a difference in day-to-day use.

The only potential justification is for memory-intensive on-device AI models like the Gemini Nano. However, even that wouldn't need 24GB. When you see 24GB of RAM, treat it as marketing, not a meaningful performance upgrade.

Reverse Wireless Charging

Reverse wireless charging is too slow to be practical. Turning your phone into a wireless charging pad and rescuing a friend's dying device sounds futuristic and heroic. In practice, reverse wireless charging is too slow and inefficient to be of any real use. It delivers about 4.5W. A standard wall charger is 15W or more.

Charging wireless earbuds can take more than three hours, and charging another phone isn't practical. It's also inefficient. Inductive charging wastes energy, so power transfer isn't 1:1. A small power bank is a better solution in almost every situation.

The Best Phone Is the One That Gets the Basics Right

The smartphone industry sells the idea that the best phone has the longest feature list. It pushes megapixel counts, zoom factors, and RAM totals. As we've shown, these numbers often mislead and create an illusion of progress. When you shop for a new phone, ignore the noise. Look past the spec sheet and read reviews that reflect real-world use. Ask how each feature improves daily life. Choose the phone that nails the basics, not the one stacked with gimmicks.

Top Ski Goggles of 2025

Modern Ski Goggles: A Technological Marvel

Modern ski goggles have evolved significantly from their predecessors, offering a blend of advanced technology and user-friendly features that enhance the skiing experience. No longer do skiers have to endure fogged optics or obscured vision. Today's goggles come equipped with photochromic lenses, contrast-enhancing light filtration, and easy lens interchangeability, making it easier than ever to maintain clear vision in varying light conditions. The convenience of swapping lenses without heading to the lodge is just one of the many benefits that modern ski goggles provide.

Our team has spent several winters testing dozens of goggles, refining our recommendations through seven iterations and thousands of hours of field tests. We've worn these eye protections in the depths of gray winters, on blindingly sunny alpine tours, and through powerful storms, ensuring that our picks are reliable and effective across a wide range of conditions.

Best Overall Ski Goggles

The Smith I/O Mag ChromaPop stands out as a premium choice for those seeking excellent clarity in variable light conditions. Its anti-fog interior lens design and ease of lens swapping make it a top contender. The spherical lens provides enhanced acuity, and the frameless design offers comfort throughout the day. However, the lenses can be easily smudged during swaps, which might be a minor inconvenience for some users.

Best Budget Ski Goggles

For those looking for a more affordable option, the Giro Revolt offers a solid fit and dependable lens performance. Its cylindrical lens with VIVID technology enhances contrast and blocks flat light conditions effectively. While the lens swap isn't the quickest, the comfortable fit and multiple color options make it a popular choice among skiers.

Most Versatile Ski Goggles

The Julbo Launcher Goggles are ideal for backcountry and hike-to terrain. Equipped with the Reactiv photochromic lens, they adapt quickly to changing light conditions. The SuperFlow Pro venting system virtually eliminates fogging, making them a versatile choice for any skiing scenario.

Best Ski Goggles Interchangeable Lens System

The Anon M5 Goggles feature an easy lens swap system using magnets, making it simple to switch between different lighting conditions. The flat toric lenses offer a wide field of view, and the included face mask helps prevent fogging. Despite the higher price point, the performance and convenience make it a worthwhile investment.

Best Ski Goggles for Over-the-Glasses

The Dragon NFX Mag OTG Goggles are designed for those who wear glasses. Their over-the-glasses compatibility ensures a secure fit, and the contrast enhancement technology improves visibility in low-light conditions. The unique lens change system, while requiring a bit of practice, is secure and reliable.

Most Durable Ski Goggles

The Sweet Protection Durden RIG Reflect Goggles are known for their durability and exceptional lens performance. The RIG technology enhances contrast and reduces eye fatigue, making them suitable for all-day use. The large field of view and excellent anti-fog properties ensure clear vision even in challenging conditions.

Best Uphill Eye Protection

For backcountry skiers, the Smith Bobcat Sunglasses offer lightweight and durable protection. The photochromic lens adapts to changing light conditions, and the easy lens swap system allows for quick adjustments. The soft, pliable frame ensures comfort during long ascents, making them an essential piece of gear for uphill travel.

Other Notable Picks

Several other models stand out for their unique features and performance. The POC Nexal Clarity Goggles offer excellent helmet integration and precise optics, while the Pitt Viper Proform Goggles provide great value for their price. The Bollé Torus Neo is praised for its clarity and fog-free performance, and the 100% Norg Goggles deliver sharp lenses and a fast magnetic lens system.

How to Choose the Right Ski Goggles

When selecting ski goggles, consider the following factors:

• Lens Technology: Look for features like photochromic lenses, anti-fog treatments, and polarized coatings.
• Fit and Comfort: Ensure the goggles fit well with your helmet and provide a secure, comfortable seal.
• Ventilation: Proper ventilation helps prevent fogging, especially in cold or humid conditions.
• Lens Swap System: Choose a system that is easy to use and reliable, whether it's magnetic, traditional, or a hybrid.
• Durability: Opt for goggles made from high-quality materials that can withstand harsh conditions.

Conclusion

Modern ski goggles have come a long way, offering a range of advanced features that cater to different needs and preferences. Whether you're a casual skier or a backcountry enthusiast, there's a pair of goggles that will suit your requirements. By considering factors such as lens technology, fit, and durability, you can find the perfect pair to enhance your skiing experience.

MiG-41 vs NGAD: Hypersonic Aspirations vs Engineering Reality

The Ambitious MiG-41: A Dream or a Mirage?

Russia's MiG-41 project has captured the attention of military analysts and defense experts around the world. Marketed as a sixth-generation fighter, it is presented as a response to America’s Next Generation Air Dominance (NGAD) program. However, many observers are skeptical about its feasibility, viewing it more as a "Potemkin fighter" — a show of strength that masks underlying industrial weaknesses.

In theory, the PAK DP, as it is officially known, promises impressive capabilities. It is designed to operate at speeds ranging from Mach 4 to Mach 5, reach near-space altitudes, and carry hypersonic and anti-satellite missiles internally. Additionally, it features an unmanned version, a blended wing-body configuration, radar-absorbent materials, and AI-backed avionics. If these technologies can be successfully integrated, the MiG-41 could rival or even surpass Western designs.

The head of MiG has claimed that the aircraft will utilize new types of aviation weapons and incorporate advanced stealth technologies. However, the gap between theoretical design and practical implementation remains vast.

Engineering Challenges at Hypersonic Speeds

One of the most significant hurdles in developing a hypersonic aircraft is managing the extreme thermal and structural stresses involved. At Mach 5, stagnation temperatures can soar up to 10,000 °C in the shock layer, with leading edges experiencing thermal gradients of up to 1,000 K over just a few millimeters. These conditions generate stresses of around 100 MPa, requiring the use of exotic materials such as carbon-carbon composites, ultra-high-temperature ceramics like HfB₂–SiC, or refractory metal alloys with specialized cooling systems.

Even the United States, which has invested decades in hypersonic research, still faces challenges in ensuring the long-term durability of these materials under repeated thermal cycling.

Propulsion Complexities

Propulsion is another major challenge for the MiG-41. The aircraft is expected to be powered by the Saturn AL-51 afterburning turbofan, which delivers 37,500 pounds of thrust. While the design of the AL-51 looks promising, integrating it into a platform capable of sustained hypersonic cruise would likely require a combined-cycle system that transitions from turbine to ramjet or scramjet modes.

Such engines must withstand oxidizing, high-pressure combustion regimes where passive cooling becomes ineffective above Mach 6. This necessitates active thermal management techniques like heat pipes, transpiration cooling, or film cooling — each adding complexity and weight to the system.

Stealth Integration at Hypersonic Speeds

Stealth integration at hypersonic speeds presents additional challenges. Current low-observable aircraft rely on careful shaping, precise body-panel tolerances, and radar-absorbing coatings. However, at high Mach numbers, surface temperatures may exceed the thermal limits of most polymers used in radar-absorbent materials, degrading their effectiveness.

NGAD designs are expected to feature full-body coatings, sophisticated heat distribution systems to reduce infrared signatures, and sensor-fusion avionics with open-architecture software. Russia has yet to demonstrate similar capabilities, even on the Su-57, whose stealth performance is estimated to be closer to upgraded fourth-generation aircraft than to the F-22.

Industrial Limitations

Industrial capability is another critical factor. The Su-57 project, initiated in 2002, has produced fewer than a dozen aircraft after over a decade, plagued by engine delays and sanctions-imposed shortages of high-end microelectronics and precision tooling. Western export restrictions have forced Russia’s aviation industry to scavenge civilian airliners for spare parts.

Satellite imagery of several air bases reveals fighter planes in static disrepair, highlighting the impact of component shortages. Trade figures indicate that Russia has redirected some microelectronics through partners like Kazakhstan and China, but at significantly higher prices that strain procurement budgets.

Resource Allocation and Strategic Priorities

The ongoing conflict in Ukraine has further shifted resources toward immediate battlefield needs — artillery, drones, and armor — rather than long-term aerospace programs. Even the Kremlin has halted Su-57 production due to component shortages, redirecting focus to older Su-35 models.

In this environment, funding and maintaining a Mach 5 interceptor with advanced materials and propulsion seems unlikely.

The Reality Behind the Rhetoric

Experts note that Russia already deploys hypersonic missiles like the Kinzhal, which are air-launched ballistic missiles far less complex than a reusable crewed hypersonic aircraft. Transitioning from boost-glide or rocket-assisted hypersonics to a stealthy, fully integrated, high-altitude interceptor is orders of magnitude more complicated.

As one aviation analyst noted, “Russia considers stealth useful… but they show no interest in winning a stealth competition with the U.S.”

For now, the MiG-41 remains in renderings and rhetoric, serving as an instrument of information warfare. Presenting it as a peer to NGAD reinforces a narrative of technological equivalence, despite the scientific, engineering, and industrial realities that tell a different story — one shaped by physics, materials science, and economic constraints.

Breakthrough 3D Printing Dataset Unveiled

Advancements in Additive Manufacturing Through New Dataset

The Oak Ridge National Laboratory (ORNL) has made a significant breakthrough with the release of its most advanced dataset to date. This dataset, developed using the Peregrine software, is designed to monitor and analyze parts created through powder bed additive manufacturing. The dataset is now available for researchers and manufacturers to further enhance their understanding and application of this cutting-edge technology.

The dataset, titled "In situ Visible Light and Thermal Imaging Data from a Laser Powder Bed Fusion Additive Manufacturing Process Co-Registered to X-ray Computed Tomography and Fatigue Data," represents a major step forward in supporting the nation's additive manufacturing industry. As part of a study aimed at establishing strong correlations between manufacturing anomalies, internal defects, and mechanical performance, the Department of Energy's Manufacturing Demonstration Facility has produced this comprehensive resource.

This dataset offers state-of-the-art monitoring data for laser powder bed fusion (L-PBF), a process that uses a laser to melt and fuse metal powder into layers to create metal parts. It includes machine process parameters, sensor data, geometries, and detailed images of the 3D-printing process captured from multiple angles and lighting types. The dataset combines high-resolution visible and near-infrared imaging with X-ray scans of the printed parts, providing an extensive view of the manufacturing process.

Luke Scime, a researcher in the Manufacturing Systems Analytics Group at ORNL, explained how Peregrine works. "Peregrine takes images during printing, using AI to look for anomalies," he said. "You do that for every single layer, and you build up a three-dimensional map of all the locations that might have issues, and then you try to predict which of those might cause a problem in the final part."

The custom algorithm within the Peregrine software scrutinizes the composition of edges, lines, corners, and textures by analyzing pixel values of images. This allows the system to send alerts to operators about any problems during the printing process, enabling them to make quick adjustments. This proactive approach helps ensure the quality of the final product.

One of the key features of the Peregrine software is its Dynamic Multilabel Segmentation Convolutional Neural Network (DMSCNN). This network examines data from multiple sensors to detect problems and send alerts. For instance, L-PBF prints can experience spatter, where molten material is ejected as the laser melts the metal powder. These spattered particles can land elsewhere on the part, affecting the overall quality.

The new dataset includes all DMSCNN segmentation results and fatigue-tested specimens subjected to such spatter-induced perturbations. This comprehensive ensemble of information supports the development of AI models for digital qualification of additive manufacturing processes. By using the improved open-source Peregrine dataset, researchers and manufacturers can develop even smarter, adaptive quality assurance and quality control systems for their 3D-printed parts.

Other ORNL researchers who contributed to the new dataset include Zackary Snow, Chase Joslin, William Halsey, Andres Marquez Rossy, Amir Ziabari, Vincent Paquit, and Ryan Dehoff. Their collective efforts have helped create a valuable resource for the additive manufacturing community.

For more information, refer to the following publication: Zackary Snow et al, "In situ Visible Light and Thermal Imaging Data from a Laser Powder Bed Fusion Additive Manufacturing Process Co-Registered to X-ray Computed Tomography and Fatigue Data," Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) (2025). DOI: 10.13139/ornlnccs/2524534.