❌

Normal view

There are new articles available, click to refresh the page.
Yesterday β€” 28 October 2026Main stream
Before yesterdayMain stream

HP OmniBook Ultra 16 review: A great RTX Spark laptop with one catch

26 October 2026 at 07:31

HP’s first RTX Spark laptops are here, and I've spent the past two weeks with the 32GB OmniBook Ultra 16. It really is a fantastic laptop in almost every way. I was able to game on it with basically no issues, and both its keyboard and OLED screen are among the best I’ve used. Then I asked it to do the thing NVIDIA is pitching hardest: run AI agents locally. With only 32GB of memory, that’s where this laptop hits a wall.

NVIDIA’s RTX Spark could be the best thing to happen to Qualcomm Snapdragon

26 October 2026 at 03:50
NVIDIA’s RTX Spark could give Windows on Arm the boost it needs, and Qualcomm Snapdragon laptops might be among the biggest winners. Here’s why NVIDIA’s entry could reshape gaming, local AI, and app compatibility.

I can't recommend the Nvidia Shield TV Pro, even after an Apple TV 4K price hike

24 October 2026 at 12:45

I drew flak for saying the Apple TV 4K fills the shoes of Nvidia's Shield TV, and not without some merit. If you love Android or simply prefer the Shield's flexibility, no amount of apps or hardware brawn will make you switch. It's a good media streaming deviceβ€”its age and the modern app landscape just work against it.

Agile ONE SN Humanoid Robot Bundles Nvidia’s Robotics Stack

23 October 2026 at 05:36

Nvidia and Agile Robots unveiled Agile ONE SN, a compact humanoid with Jetson Thor computing and Isaac GR00T training tools. Here's what it can do, its specifications, and when it launches.

The post Agile ONE SN Humanoid Robot Bundles Nvidia’s Robotics Stack appeared first on TechRepublic.

Nvidia DGX Spark 64GB Launches at $4,999: Is It Worth It?

23 October 2026 at 05:19

Nvidia's 64GB DGX Spark launches at $4,999 with the same GB10 chip as the 128GB version. Compare memory limits, model support, clustering costs, and what IT buyers should verify.

The post Nvidia DGX Spark 64GB Launches at $4,999: Is It Worth It? appeared first on TechRepublic.

Nvidia Teaches a $399 Duck Robot to Walk Using AI

23 October 2026 at 05:08

Nvidia and Hugging Face show how a $399 duck-shaped robot learns to walk using AI simulation. Here's how Microduck works, what it costs, and when buyers may get one.

The post Nvidia Teaches a $399 Duck Robot to Walk Using AI appeared first on TechRepublic.

Agile ONE SN Humanoid Robot Bundles Nvidia’s Robotics Stack

23 October 2026 at 05:36

Nvidia and Agile Robots unveiled Agile ONE SN, a compact humanoid with Jetson Thor computing and Isaac GR00T training tools. Here's what it can do, its specifications, and when it launches.

The post Agile ONE SN Humanoid Robot Bundles Nvidia’s Robotics Stack appeared first on TechRepublic.

Nvidia DGX Spark 64GB Launches at $4,999: Is It Worth It?

23 October 2026 at 05:19

Nvidia's 64GB DGX Spark launches at $4,999 with the same GB10 chip as the 128GB version. Compare memory limits, model support, clustering costs, and what IT buyers should verify.

The post Nvidia DGX Spark 64GB Launches at $4,999: Is It Worth It? appeared first on TechRepublic.

Nvidia Teaches a $399 Duck Robot to Walk Using AI

23 October 2026 at 05:08

Nvidia and Hugging Face show how a $399 duck-shaped robot learns to walk using AI simulation. Here's how Microduck works, what it costs, and when buyers may get one.

The post Nvidia Teaches a $399 Duck Robot to Walk Using AI appeared first on TechRepublic.

UW protein institute led by Nobel winner unveils its first AI model co-developed with Nvidia

21 October 2026 at 11:26
Structural models of two enzymes created using models developed at the UW Medicine Institute for Protein Design. (IPD Image / Benedicte Rossi)

The UW Medicine Institute for Protein Design (IPD) today released a new open-source model for creating proteins with specific functions, called RFD4-Proteina. It is the first AI protein model the University of Washington has co-developed with semiconductor giant Nvidia.

The release comes on the heels of a major computing boost. Earlier this month, IPD announced it had received a large grant of computing power from Nvidia CEO Jensen Huang and his wife, Lori Huang, through their foundation. In June, the institute began accessing Nvidia graphics processing units, or GPUs, through cloud company CoreWeave. The grant is expected to support the institute for a year.

β€œRFD4-Proteina will open the door to new solutions in medicine, sustainability, materials and biotechnology,” David Baker, director of IPD and a 2024 Nobel laureate in chemistry, said in a statement. He earlier told GeekWire that the foundation’s grant has been β€œtransformational” for the institute’s work.

IPD has used deep learning to develop and release a series of tools, including RoseTTAFold for predicting protein structures and RFdiffusion (RFD) for designing new proteins. The new model’s name nods to RFD and references Nvidia’s Proteina-Complexa computational models.

The team is touting RFD4-Proteina as β€œa considerable improvement over previous methods” that is faster and requires significantly less computational power.

The models have allowed researchers to design proteins never imagined before, with potential as drugs for challenging diseases or as tools for managing environmental waste such as toxic chemicals and plastics, among other applications. The IPD lists 11 spinout companies, including vaccine developer Icosavax and protein-design startup Archon Biosciences.

Seth Woodbury used RFD4-Proteina in his enzyme work as a , a UW bioengineering predoctoral candidate. β€œIn just a few days we designed a pesticide-degrading enzyme that performs many fold better than my previous best, which took months to design,” he said. Woodbury last year published a paper in Nature on enzyme research.

At IPD, the RFD4-Proteina work was led by UW doctoral students Nathaniel Corley, Maxwell Kazman and Rafi Brent, along with Kieran Didi, a visiting student from the University of Oxford.

RFD4-Proteina is available through Berkeley Software Distribution.Β 

❌
❌