Semiconductor News & Analysis Feed
48 articles
2026-06-05
news.google.com
2026-06-05
CoStar
2026-06-04
developer.nvidia.com
2026-06-04
NVIDIA Developer
Single-turn chatbots are evolving into long-running agents that can reason, maintain context, use tools, and run efficiently across many turns to complete complex workflows.
However, these multi-agent workflows cause token counts to grow quickly. Agents plan, call tools, invoke sub-agents, receive information, and then pass history, outputs, and reasoning steps back into the model continuously. A
2026-06-03
developer.nvidia.com
2026-06-03
NVIDIA Developer
AI agents are changing how you interact with your PC. Creators, developers, and AI enthusiasts are already using these agents extensively to assist with day-to-day tasks such as coding, video editing, and content management.
NVIDIA and Microsoft are teaming up to enable the next generation of developers to build on-device agents on the Windows platform, with easier setup, native security, and in
2026-06-03
tomshardware.com
2026-06-03
Andrew E. Freedman
At Microsoft Build, the company debuted its Surface RTX Spark Dev Box, a system for developers to come up with new AI applications.
2026-06-03
news.google.com
2026-06-03
NVIDIA Developer
2026-06-02
developer.nvidia.com
2026-06-02
NVIDIA Developer
As AI agents move from the digital world to the physical environment, they can readily use NVIDIA Jetson to accelerate real-world deployment with optimized memory and performance.
NVIDIA JetPack 7.2 directly supports one-command deployment of NVIDIA NemoClaw, an open source stack that adds privacy and security controls to OpenClaw. It introduces NVIDIA agent skills for Jetson—Jetson device-side
2026-06-02
developer.nvidia.com
2026-06-02
NVIDIA Developer
As AI agents move from the digital world to the physical environment, they can readily use NVIDIA Jetson to accelerate real-world deployment with optimized memory and performance.
NVIDIA JetPack 7.2 directly supports one-command deployment of NVIDIA NemoClaw, an open source stack that adds privacy and security controls to OpenClaw. It introduces NVIDIA agent skills for Jetson—Jetson device-side
2026-06-02
developer.nvidia.com
2026-06-02
NVIDIA Developer
The rise of autonomous, long-running AI agents has introduced a new class of compute demand, namely tasks that maintain large context windows, spawn concurrent subagents, and iterate continuously without cloud dependency. Security and privacy concerns are also accelerating the shift toward local agents.
Developers, by running autonomous agents on hardware they own with NVIDIA NemoClaw orchestrat
2026-06-02
www.therobotreport.com
2026-06-02
The Robot Report
NVIDIA releases new and updated tools for physical AI developers
By The Robot Report Staff | June 1, 2026
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NVIDIA is offering AI agent tools to robotics and autonomous vehicle developers.
At GTC Taipei and Computex today, NVIDIA Corp. revealed several open-source physical AI skills and tools to help developers of robotics, autonomous vehicles, visual AI,
2026-06-01
siliconangle.com
2026-06-01
SiliconANGLE
Not content with just providing the infrastructure for the next generation of artificial intelligence agents, Nvidia Corp. is also providing the tools for developers to build them.
At Nvidia GTC Taipei 2026, concurrent with the Computex conference, the company unveiled the latest iteration of its Agent Toolkit. It’s a comprehensive suite of software, open-source models and blueprints for building
2026-06-01
developer.nvidia.com
2026-06-01
NVIDIA Developer
Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what’s happening in their world, predict what’s likely to happen next, and generate actions for specific environments, embodiments, and tasks.
NVIDIA Cosmos 3 is a frontier foundation model for physical AI that combines physical reasoning, world gener
2026-06-01
developer.nvidia.com
2026-06-01
NVIDIA Developer
Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can reason over more complex driving scenes and produce richer intermediate reasoning are predominantly trained in open-loop, where model outputs are directly compared to ground-truth behaviors without considering their effect on the environment.
2026-06-01
developer.nvidia.com
2026-06-01
NVIDIA Developer
The AI era is driving a new class of infrastructure: AI factories that transform data into intelligence for autonomous AI agents operating at unprecedented scale. Powered by accelerated computing, AI factories enable enterprises to train, fine-tune, and deploy AI with greater speed and efficiency.
This new class of infrastructure also introduces a fundamentally new attack surface spanning infras
2026-06-01
developer.nvidia.com
2026-06-01
NVIDIA Developer
__fail__
2026-06-01
developer.nvidia.com
2026-06-01
NVIDIA Developer
AI is now essential infrastructure, powered by AI factories that generate intelligence in the form of tokens. As demand grows, these factories must scale faster, operate more efficiently, and lower the cost of intelligence across the five-layer stack: energy, chips, infrastructure, models, and applications.
NVIDIA DSX platform provides the complete playbook for designing, simulating, building, an
2026-05-29
tomshardware.com
2026-05-29
Aaron Klotz
Linux developers are discussing removing x32 ABI from the Linux kernel; a hybrid x32/64-bit mode that was never widely adopted by software developers.
2026-05-29
news.google.com
2026-05-29
KED Global
2026-05-29
developer.nvidia.com
2026-05-29
NVIDIA Developer
AI applications are moving beyond text generation to multimodal systems that can perceive, search, and reason across images, documents, video, and language in real time—turning fragmented information into actionable insights.
Step 3.7 Flash, the latest from StepFun, brings these capabilities to production and enterprise-scale, available on NVIDIA-accelerated infrastructure. It is a 198B-paramet
2026-05-29
tomshardware.com
2026-05-29
Bruno Ferreira
Call of Duty Modern Warfare 4 drops older consoles and promises extensive optimization and PC-specific options
2026-05-28
digitimes.com
2026-05-28
Qualcomm has reportedly landed more than one ASIC customer, with a separate project for a US cloud service provider also taking shape, according to industry sources. The development follows reports from Bloombergand other media that ByteDance, the developer of TikTok, is Qualcomm's first major client for its custom chip push.