NVIDIA unveiled new AI for Media tools at IBC 2026 for real-time video upscaling, frame generation, synthetic-video detection and live broadcasting.
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South Korea will launch the 614-petaflop Hangang supercomputer in December, opening high-end compute to researchers, national projects, and companies.
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Claude and ChatGPT are where most of us started with AI, and once you discover what they can do, it’s only natural to put them to work beyond the chat window. That means plugging them into other tools and harnesses through their APIs. But once you do, Claude and ChatGPT stop being a simple $20 subscription and start behaving like metered utilities that can quietly run you hundreds of dollars a month, depending on what your automations are doing.
OpenAI will anchor two Firmus AI data centers in Malaysia, adding future APAC compute capacity as regional infrastructure investment surges.
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A Redmond, Wash., robotics software startup founded by former Microsoft researchers says its platform can now handle much of the work of getting a robot up and running in a factory, warehouse or other industrial setting, a job that used to take a team of engineers.
General Robotics said Wednesday that advances in GRID, its robot intelligence platform, have cut the process of onboarding a new robot from about a month to as little as two hours. The company calls the approach “Auto Engineering,” with each onboarded robot and diagnosed failure feeding back into the system and speeding up the next deployment.
“Before this moment, it would take us a team of experts to go and execute on behalf of our customers,” said General Robotics CEO and co-founder Ashish Kapoor in an interview. “Clearly non-scalable, clearly very expensive, and clearly will take a long time.”
With Auto Engineering, he said, “we can magnify and accelerate each engineer’s capability.”
Founded in 2023, the company has grown to about 50 employees, primarily engineers. It has raised nearly $34 million, most recently in an April round led by Construct Capital, with participation from Khosla Ventures, Accenture Ventures, Nvidia and Valo Ventures. PitchBook put the size of the round at $25 million; the companies didn’t disclose terms at the time.
Kapoor said General Robotics has roughly a dozen customers — large enterprises across manufacturing, logistics, energy and defense — and revenue in the millions of dollars.
Customers include HTX, the science and technology agency of Singapore’s Ministry of Home Affairs, which Kapoor said has been working with General Robotics for about a year and a half.
The company’s platform works with robot types including industrial arms, humanoids, quadrupeds, wheeled robots and drones, according to the company.
General Robotics is operating in a competitive and well-funded sector. Physical Intelligence, which builds foundation models for robots, has raised more than $2 billion. Nvidia — an investor in General Robotics, and the maker of the Isaac Sim simulation software built into GRID — is developing its own robot models and deployment tools.
Robot makers build good hardware, Kapoor said, but often lack the expertise to put it to work in a specific setting like a shipping terminal. “That last layer is missing.”
Before co-founding the company, Kapoor spent 17 years at Microsoft, ultimately as general manager of its autonomous systems and robotics research group in Redmond, where he created the open-source drone simulator AirSim. General Robotics co-founders Sai Vemprala (CTO) and Shuhang Chen came from the same Microsoft team.
GeekWire covered the launch in 2023, when it was Scaled Foundations and billed itself as “ChatGPT for robots.” It had five employees at the time, focused on aerial robotics and drones, with backing from Khosla and E14 Fund. It later renamed itself General Robotics.
When Nvidia first announced DLSS 5 neural rendering, many were quick to label it "AI slop." And I get it. We're definitely getting some uncanny valley vibes.
Nvidia PAIR is a free open-source tool that distributes local AI workloads across PCs and Macs, letting idle hardware help run multi-agent tasks.
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Another year, another IFA conference. How-To Geek is scouring the halls of Messe Berlin to uncover all the new innovative tech at IFA 2026. Through our search, we've managed to go hands-on with the slimmest portable SSD of all time, super-long-lasting hybrid batteries, the first batch of RTX Spark laptops, and more.
Nvidia is slowly lifting the veil from the first PCs with its RTX Spark chip, and it's now clearer what they can do. I had the opportunity to demo several computers from Asus, Dell, Microsoft, and other brands at IFA 2026, and they promise to transform computing — although some big questions remain.
Robotics jobs in the Pacific Northwest are multiplying faster than universities can train people to fill them. The University of Washington thinks it has an answer — or at least a start.
This fall, UW’s College of Engineering will launch its first robotics graduate programs: a Master of Science in Robotics and a Graduate Certificate in Applied Robotics.
The university capped enrollment at 35 students for the inaugural cohort. More than 30 people had already signed up for an information session before applications even opened. It’s an early signal, engineering leaders say, of pent-up demand from regional powerhouses racing to hire engineers who can operate at the intersection of AI, software and hardware.
Program leaders say that skill set is rooted in a traditional, narrowly focused engineering degree that hasn’t kept pace with the rapid evolution of technology. UW is betting that the fix lies at the intersection of AI and hardware, echoing an industry buzzword called “physical AI.”
“Robotics is no longer confined to a single discipline,” said Xu Chen, a UW engineering professor and director of the Boeing Advanced Research Collaboration, who played a large role in the committee that designed the new programs. “The future will need a wide variety of robotics knowledge, and that’s what we built these programs to deliver.”
Applications opened Sept. 1 and will close Sept. 10, with UW aiming for a roughly one-week turnaround before notifying applicants. For its inaugural year, the university is intentionally keeping things small: 25 seats in the master’s program and 10 in the certificate track, which is designed for working professionals who want robotics training without leaving their jobs.
Chen said the small first cohort is by design, not a limitation. The goal, he emphasized, is to get the fundamentals right before scaling up. He expects the programs to roughly triple in size within three to five years.
“Companies are seeing newer potential in robotics as advanced computing and the wave of AI technology mature,” Chen said. “They see that their workforce will benefit from a modern robotics program, and that need is really what drove this.”
Getting there will take machines, and lots of them. UW is purchasing robots and computing hardware for its initial course offerings while also leaning on industry donations: robots, GPUs, and computing infrastructure among them, according to Chen.
Amazon and Microsoft anchored the effort early; the list of partners has since grown to include NVIDIA, Boeing, Dassault Systèmes — the French software company behind design tools like SolidWorks — and at least one smaller robotics manufacturer.
“The industry board was incredibly supportive from the start,” Chen said. “We’ve had almost a year of continuous meetings and collaboration with them and with representatives across our own engineering departments.”
The broader structure of the program is meant to make it easier for students from different corners of engineering, such as electrical, mechanical and computer science, to land in the same classroom and eventually choose their own path deeper into robotics through electives.
The program is also drawing on UW’s existing research muscle in the region. It taps directly into the Boeing Advanced Research Collaboration, which Chen directs, along with robotics labs inside the Paul G. Allen School of Computer Science & Engineering. That gives students a line into the same research infrastructure that already feeds Seattle’s aerospace and e-commerce giants.
The university’s ambitions extend well past this fall’s launch. Chen said UW has already mapped out longer-term plans for an undergraduate robotics degree and, eventually, a Ph.D. program, with the two new offerings serving as the foundation.
For now, the clearest sign of the program’s ambitions arrived this summer in an unlikely form: a pack of robot dogs let loose on UW’s campus.
“Seattle’s hills make it a uniquely difficult place for robots to move around, which is exactly why it’s a great place to study it,” Chen said.
Both students and faculty got a chance to operate the robots directly, Chen said. It was a hands-on moment that underscored how much more accessible robotics technology has become in just the last few years.
“It was exciting to see the students so happy to see the robots,” Chen said. “That’s the kind of energy we want to build this program around.”
Nvidia has agreed to buy AI model platform Hugging Face for $13 billion, in the latest step by the $5.4 trillion chip giant to use its financial might to accelerate the technology’s boom while exerting greater control over the industry.
Hugging Face, which only last year turned down a large investment from Nvidia at a $7 billion valuation to maintain its independence, serves as a repository for millions of models and data sets and has become a champion of “open” AI systems.
Nvidia said the goal of the deal was to speed up the spread of open models. Unlike proprietary models from labs such as OpenAI and Anthropic, the design of open-weight models is public and users can download, customize and run them on their own hardware.
© Hugging Face / anucha sirivisansuwan via Getty Images
Anthropic reportedly signed a $35 billion Lambda cloud deal tied to a Texas data center leased by Nvidia and developed by Hut 8 for Claude computing capacity.
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OpenAI holds SB Energy warrants valued at $5.5 billion as the SoftBank-backed developer pursues an IPO and expands its data center ties to Nvidia.
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See what you missed in Daily Tech Insider from August 24–28.
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