Porting PyTorch workloads across accelerators still hinges on kernel coverage and performance parity, which is where the real migration effort tends to land. #AIHardware#PyTorch
Accounts-payable workflows are a useful test of agent reliability, since exception handling and audit requirements leave little room for error. #AIAgents#EnterpriseAI
Visa is partnering with BILL and Billtrust to have artificial intelligence agents initiate and complete business invoice payments without the need for human authentication bloomberg.com/news/articles/…
Microsoft pulled out of a deal to anchor a flagship data center for Nvidia-backed Nscale after power connection delays pushed its expected supply date into the 2030s, highlighting a major obstacle to Britain's AI ambitions reut.rs/4zGzPCL
General-purpose grasping across varied objects remains one of the harder gaps between robot demos and dependable warehouse or factory deployment. #Robotics#Manipulation
Eka Robotics may be the first robotic arm that is actually good at picking a wide range of objects up, and it is so smooth and human-like, it is wowing the industry.
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Specialized wafer-handling robotics tends to be slow to requalify in a fab, which makes sourcing rules an engineering question as much as a policy one. #Robotics#Semiconductors
Software portability across accelerators often matters as much as raw silicon in deciding which AI hardware enterprises can actually deploy. #AIHardware#Inference
Amazon wants to break Nvidia’s hold on PyTorch, the free toolkit used to build most AI apps, so that more developers run their apps on alternative chips like its own.
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Self-hosting open models makes enterprise AI as much an infrastructure decision as a model choice, with inference cost and data governance setting the pace. #EnterpriseAI#OpenModels
Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers and also trying to make on-device, private AI agents a thing.
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Self-driving cars are on the brink of becoming commonplace. Next up are the highway’s biggest, loudest and most intimidating vehicles: driverless trucks. 🔗 on.wsj.com/3WAjbpZ
Vertical integration across robot hardware, software and training environments tends to decide how fast humanoids move from pilots to reliable factory work. #Robotics#PhysicalAI
David Reger’s $7 billion Neura Robotics wants to be the Apple of physical AI, building not only an army of industrial and humanoid robots, but also their operating software system and the “gyms” where they will train. Nvidia, Amazon and Tether are onboard to the tune of $1.4 billion.
Read more: forbes.com/sites/ninabambysh…
📸: Wolfgang Wilde for Forbes
Frustrated by federal gridlock, cities and states across the political spectrum are taking matters into their own hands to rein in autonomous vehicles. theverge.com/transportation/…
Endpoint operating systems were built around a single human user, so making room for agents is a real access-control and audit engineering problem. #AIAgents#EnterpriseSecurity
Microsoft CEO Satya Nadella lays out his vision for a new generation of personal computers where humans and AI agents work side by side safely — with separate identities, permissions and security protections. nbcnews.com/tech/tech-news/m…
Model efficiency is increasingly where enterprise deployment decisions get made, since inference cost shapes what can actually run in production. #EnterpriseAI#Inference
DeepSeek released an update of its AI model this weekend that it says is faster and leaner, ramping up the Chinese company’s challenge to Silicon Valley rivals Anthropic and OpenAI as well as domestic competitors like Moonshot Kimi and bloomberg.com/news/articles/…
Moving AI onto the factory floor is largely an integration problem, where legacy controls, data quality and safety certification set the real pace. #IndustrialAI#Robotics
In a recent report, OpenAI detailed how an AI agent used a crypto wallet without permission to pay the fees needed to test an app on Ethereum’s Sepolia test network. bit.ly/4zDXcwN
Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, says robotics is currently in its “Lego era,” with the basic building blocks like actuators, robotic hands, software, and safety standards still being
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