Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media...
Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media processing, and remote operations. A system may capture several cameras, decode network streams, run AI inference or conventional vision processing, draw results, and encode video for storage or delivery. The individual calls are…
Meta returns to the open source ecosystem with the release of Muse Glimmer, a 30B open-weight dense model with a 120K+ context window built for local AI...
Meta returns to the open source ecosystem with the release of Muse Glimmer, a 30B open-weight dense model with a 120K+ context window built for local AI agentic work. Optimized to run across a range of NVIDIA edge, desktop, and workstation AI platforms, Muse Glimmer delivers 20K tokens/sec on a single GPU, enabling always-on agents to process data locally and execute complex…
eMMC (Embedded MultiMediaCard) is a compact flash storage solution that packs NAND flash and a controller onto a single chip. It provides reliable, power‑efficient storage for laptops, tablets, Chromebooks, embedded systems, and other portable devices. Nothing flashy, but it gets the job done in tight spaces where power draw matters. Compact and Space-Saving eMMC puts […]
Brain Corp, a provider of operating systems for robots, has announced “strong global fleet momentum for the first half of 2026”. This milestone underscores the growing role of autonomous robots as daily operational infrastructure across retail, logistics, airports, commercial cleaning, and inventory management. In H1 2026, BrainOS-powered robots recorded 68 percent year-over-year growth in global […]
Hirebotics, a provider of collaborative robot solutions for the metal fabrication industry, has announced that data center infrastructure company Tate, has deployed a fleet of 58 Hirebotics Cobot Welder systems across manufacturing facilities in Arkansas, Virginia and Kentucky. According to a new Hirebotics case study, Tate has achieved a 12x increase in per-welder throughput on […]
Connected products fail at the application layer now, where firmware telemetry, cloud pipelines, and the user-facing app are often built with different assumptions about the data. This gap has grown as inference moves to the device, fleets mix cellular, LPWAN, and satellite networks, and the EU Cyber Resilience Act requires secure remote updates from 11 […]
For a long time, coffee roasting was seen as something almost mystical. Experienced masters relied on their ears (listening for the “first crack”), their eyes, and even their intuition. But when a business scales from a single coffee shop to an industrial facility, intuition becomes a liability. The cost of a single mistake is dozens […]
Enterprise businesses generate massive amounts of data every day, but collecting accurate information from multiple websites can quickly become challenging. Manual data collection is slow, expensive, and difficult to scale. That’s why many organizations invest in enterprise web scraping solutions that automate data extraction while maintaining speed, accuracy, and compliance. The right provider can help […]
Sophia Space and Caltech want to fold the bulky parts of a space-based data center—solar cells and radiators—into all-in-one tiles with chips.
Every time you ask ChatGPT a question, computer chips in a massive data center whirl into action. In the blink of an eye, they ping back answers. Behind the scenes, though, AI data centers consume enormous amounts of electricity, heat, and water.
The AI boom is impacting communities. After welcoming 37 data centers, residents in Virginia’s Henrico County were hit with skyrocketing electrical bills. Schools and government buildings were asked to turn off lights, shut down computers, and avoid using space heaters to ease strain on the power grid and keep costs down.
Henrico isn’t alone. A growing backlash is prompting many states to consider legislation curbing new facilities. “No data center” signs have sprouted on lawns and alongside roads. Yet as AI demand continues to surge, so does the need for more computing power.
This has top AI companies looking skyward. Instead of routing requests to terrestrial data centers, future queries could be handled by thousands of solar-powered satellites orbiting above. The results would then be beamed back, with users none the wiser.
Space’s frigid vacuum may seem like the perfect place to cool chips, but it’s not that simple. Lacking air and water to carry heat away, orbital data centers would have to use thermal radiation. Here, heat is converted into infrared energy and radiated into space, often requiring bulky hardware that adds weight, cost, and complexity.
With these challenges in mind, California Institute of Technology and Sophia Space, a California startup developing orbital computing, recently unveiled a patent for a chip cooling system designed to radiate heat into deep space. Called Sophia TILE, thousands of these chips could be linked to form large orbital data centers or organized into smaller, distributed clusters.
Powered by abundant sunlight, the chips could operate continuously without eating up Earth’s resources. The team hopes to test their vision by 2030.
“This patent reflects a different way of thinking about computer infrastructure in space,” said Leon Alkalai, founder and chief technology officer at Sophia Space, in a press release. “Instead of beaming down energy to Earth from orbit, we decided to consider putting computing in space and beam[ing] down data.”
Orbital data centers would consist of high-performance computer chips housed in protective enclosures designed to withstand the harsh conditions of space. In orbit, they would collect uninterrupted solar power. In contrast, solar panels on Earth require batteries to store energy for use after sunset.
Solar power in space is hardly new. The International Space Station, satellites, and other spacecraft have long relied on solar panels. More recently, engineers have developed flexible, lightweight designs such as NASA’s Roll-Out Solar Arrays, which launch tightly rolled and unfurl in orbit.
AI, however, demands far more power. One long-standing idea for harvesting continuous solar power suggests we collect solar energy in space and beam it down to Earth. But that approach doesn’t completely appease the growing ire against data centers. They’d still consume energy on the ground and take up land and other resources. A newer idea flips the question. Rather than delivering energy to computers, why not bring computers nearer to the energy source?
The argument in favor of sending data centers skyward is growing stronger. A recent Gallup poll found roughly 70 percent of Americans oppose data centers in their backyard, while experts agree that meeting AI’s future energy demands on Earth alone will become increasingly unsustainable.
But while power is abundant in space, heat is the main problem. Without air or water to carry heat away, computers in space must rely on thermal radiation. That means adding large, heavy radiators to an already bulky, solar-powered setup. In space, weight is money, and scaling orbital data centers will take a lot of it (to put it mildly).
Hot and Cold
TILE tackles the cooling problem with a specialized material that converts heat into infrared radiation. The concept may seem alien, but everything warmer than absolute zero cools this way. Our bodies, stovetops, and car engines all shed heat as invisible infrared light.
Each TILE combines solar cells, thermal insulation, processors, memory, and optical communication hardware into a single module. Beneath the electronics sits a custom heat-spreading layer that prevents dangerous hot spots. Like placing a scorching pan onto a baking sheet, it distributes heat over a much larger surface before channeling it to the radiator.
The modules are designed to work together. Thousands of TILES could link into a giant computing mosaic, each acting as a mini computer connected to its neighbors. Like a modern power grid, the distributed architecture improves reliability—if one TILE fails, others can jump in—while simplifying power distribution and thermal management.
The modular design also solves a practical challenge: Rockets don’t have much cargo space. Similar to NASA’s Roll-Out Solar Arrays, a TILE-based data center could launch in a compact configuration before unfolding into a large, flat computing platform in orbit.
Looking further ahead, the team envisions launching multiple interconnected arrays in succession, like strings of pearls. Each could function as an independent data center that exchanges data with others, effectively extending cloud computing into orbit.
Sophia Space is targeting a demonstration mission in late 2027. By 2030, the team estimates an array of 2,000 TILEs could deliver up to a megawatt of dedicated computing power. To put that in perspective, a single ground-based data center can deliver hundreds of megawatts of computing power, and future data centers will stretch that number into the thousands.
There are challenges beyond the purely technical. Earth orbit is crowded with active spacecraft and debris, raising the risk of collisions. SpaceX’s Starlink satellites, for example, perform frequent collision-avoidance maneuvers after a close call in 2019. The breakup of a Chinese Long March rocket in 2024 threatened an estimated 1,000 satellites. Large constellations of data centers—SpaceX has plans for up to a million in low Earth orbit—would add even more traffic.
Beyond collisions, astronomers are worried that expanding satellite numbers could hinder our ability to study the universe by interfering with telescope observations and radio astronomy.
For now, orbital data centers are unlikely to replace their terrestrial counterparts. Instead, they’re more likely to complement them, processing data collected by spacecraft and beaming only the results back to Earth. Although the field is ridden with hype and controversy, there’s also promise and momentum is clearly building.
“It’s just kind of exploding,” Sergio Pellegrino, a Caltech engineer who collaborates with Sophia Space, toldThe New York Times. “We need to become more comfortable with space doing things for us.”
AGIBOT says its WITA-Omni Preview multimodal foundation model has achieved the highest score on the Daily-Omni audio-visual reasoning benchmark, outperforming models from Alibaba, Google and ByteDance. According to the company, WITA-Omni Preview recorded an average accuracy of 85.21 percent on the third-party benchmark, ahead of Qwen3.5-Omni-Plus, Gemini 3.1 Pro Preview and Doubao Seed 2.0 Lite. […]
An implant, smaller than a grain of rice, pairs with camera-mounted glasses to communicate visual information to the retina.
Age-related vision loss affects millions of people, and so far, there has been no way to reverse the damage. A newly approved retinal implant could change that by allowing some people with severe vision loss to regain functional sight.
More than five million people worldwide suffer from geographic atrophy, the late stage of the progressive eye condition dry age-related macular degeneration. The disease destroys the photoreceptors at the center of the retina, known as the macula, which is responsible for the sharp central vision required to read or recognize faces.
In the US, treatment options are limited to two drugs that can be injected into the eye to slow the disease’s progression. But neither can undo the damage. That could be about to change. California neurotech startup Science Corporation recently won European approval for a retinal implant designed to treat the condition.
“For decades, losing central vision to this disease meant losing the ability to read, recognize faces, and ultimately losing independence. There was no viable treatment. Now there is,” Max Hodak, Science’s CEO and co-founder, said in a press release.
The company’s PRIMA system combines an implant smaller than a grain of rice installed underneath the patient’s macula with a pair of camera-mounted glasses that translate incoming visual information into near-infrared light that is then beamed to the retina. The eye can’t detect this wavelength, so the device doesn’t interfere with any natural sight that remains.
The chip, which works on similar principles to a solar panel, converts the incoming light into electrical pulses that stimulate retinal neurons called bipolar cells. These are downstream of the rod and cone photoreceptor cells damaged by macular degeneration and normally spared by the disease.
In a clinical trial involving 38 patients across five countries, which was published in the New England Journal of Medicine last year, the company and its collaborators showed participants gained an average of 25.5 letters—more than five lines—on a standard eye chart after having the device fitted.
And now the device has received a CE mark from the European Union making it possible to sell in 30 European countries. The company says the first commercial implants are expected to be fitted in Germany within weeks, with Italy, the Netherlands, and the UK to follow. In the US, PRIMA holds Breakthrough and Humanitarian Use Device designations from the FDA, but the company is confident it will gain full approval in the near future.
The device is a long way from restoring normal vision. The images it produces are black and white and the field of vision is extremely narrow. Hodak described the experience to the Financial Times as “kind of like looking through a straw in the center of their vision,” though he added that they see a pathway to color vision and higher acuity.
While the implantation procedure is fairly simple, it takes months of training to unlock the device’s full potential. Nonetheless, Hodak told STAT that the company expects to install 20 to 40 devices this year and 200 globally by the end of next if they get US approval in early 2027.
The approval is welcome news for the wider neurotech industry, which has absorbed billions of dollars of investment in recent years with little to show in terms of return.
“Science is showing that brain-computer interface companies have a path to real revenue now,” Jacob Robinson, founder of startup Motif Neuroscience, told STAT. “These companies aren’t all just making a bet on a market that is 10 to 15 years away.”
Hodak told the Financial Times hehopes sales from PRIMA will bankroll Science’s more ambitious work on “biohybrid” interfaces, which use genetically engineered living neurons to connect to the brain rather than metallic wires. “This is the financial backbone,” he said. “This is the thing that pays for the rest.”
Other companies are hot on Science’s heels. Neuralink, which Hodak co-founded with Elon Musk before leaving to start Science, is also working on a vision implant called Blindsight, which is due to enter human trials this year.
While the field remains a long way from the sci-fi vision of seamless two-way communication between humans and machines, this approval is growing evidence the neurotech industry is starting to move out of the lab and into the real world.
Blockchain is gradually finding a more pragmatic place in the digital economy. After years of bold predictions, the focus has shifted from “revolution” to practical application. Today, companies are asking a simpler question: in which cases does distributed infrastructure genuinely help solve real operational challenges? Most often, the answer involves situations where multiple parties need […]
Arduino has spent more than two decades making electronics and embedded programming accessible to students, hobbyists, engineers and product developers around the world. What began as an open-source microcontroller platform has evolved into a widely used development ecosystem, with its technology now helping to prototype products across industries ranging from automotive and industrial automation to […]
Fast-growing startup moves headquarters to Hazelwood Green and opens expanded manufacturing operations at Mill 19, creating over 500 local jobs Hellbender, a physical AI infrastructure company powering intelligent systems at the edge, today announced it has moved its global headquarters to the Roundhouse at Hazelwood Green and will open expanded manufacturing operations at nearby Mill […]
Qualcomm has announced that it has completed its acquisition of Modular Inc, an innovator in AI-native software infrastructure. Modular’s software platform gives developers a unified way to optimize and deploy generative and agentic AI workloads across heterogenous computing systems. Combined with Qualcomm Technologies’ leadership in high-performance, energy-efficient compute, Modular strengthens the company’s ability to deliver […]
Qualcomm Technologies and BMW Group have announced a major agreement for the provision of compute silicon for BMW Group’s next-generation digital cockpit and advanced driver assistance and automated driving (ADAS/AD) systems through the next decade. The agreement reflects years of technical collaboration and Qualcomm Technologies’ ability to deliver compute performance and AI capabilities that BMW […]
mimic robotics, a physical AI company developing Video-Action Models for industrial automation, has introduced FLUX-mimic – a next-generation Video-Action Model developed in collaboration with Black Forest Labs – that enables robots to learn and perform complex manipulation tasks in real-world industrial environments. FLUX-mimic combines mimic’s expertise in robot learning, dexterous manipulation, and production deployment with […]
Sapphire Technology has unveiled the EDGE+ Apex SOM/Carrier Robotics Platform, a production-ready hardware platform powered by AMD Ryzen AI Embedded X100 Series processors and designed to accelerate the development and deployment of physical AI in autonomous robotics. The platform has been showcased at AMD Advancing AI 2026 in San Francisco. Built for rugged, always-on robotics […]
Managing several display screens across one location or multiple sites can become difficult without the right system. Different content, inconsistent updates, and manual changes take valuable time away from daily operations. As the number of screens grows, keeping every display accurate becomes a bigger challenge for businesses. A Raspberry Pi digital signage solution helps simplify […]
NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they...
NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they should be tuned to continue operating. This post introduces the latest model release, NVIDIA Ising Calibration 1.5, which advances AI-based QPU calibration by analyzing unfamiliar diagnostic results without prior training examples.
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Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media...