
What happened
Nagesh Puppala, Intel's general manager of physical AI and robotics, will give the talk "From Models to Machines: Building the Open Infrastructure for Physical AI" at RoboBusiness 2026 on Oct. 20 at 1:15 p.m. PT in Santa Clara, Calif.
Why it matters
Intel is signaling that robotics success hinges on deploying AI in responsive, reliable, safe, scalable systems — not model performance alone — and is pushing open, edge-first architectures for that shift.
What to watch
The event runs Oct. 20 and 21, so watch whether Intel's open-platform pitch gains traction among robotics developers and whether adoption reaches manufacturing, logistics, field robotics, humanoids, and autonomous systems.
WHO IT HITSRobotics developers and engineering teams evaluating deployment platforms will hear Intel's case for standardizing on open, edge-first infrastructure. Enterprise architects in manufacturing, logistics, and field robotics may weigh the pitch when choosing hardware and software stacks.
Summaries like this, in your inbox every morning.
Intel's session comes as AI moves from digital environments into the physical world, where robots and autonomous systems must sense, reason, and act in real time. For robotics developers, Intel says, that shift creates a new challenge: success is no longer defined by model performance alone, but by whether AI can be deployed into systems that are responsive, reliable, safe, and scalable.
The talk reflects Intel's existing position in this space. Its Robotics AI Suite is an open development platform for physical AI on Intel Core and Intel Core Ultra processors, and Puppala leads the company's strategy in the segment. The session will examine how open, edge-first architectures can help teams integrate perception, sensor fusion, motion planning, deterministic control, and real-time AI across diverse hardware and software environments.
The outcome hinges on whether robotics teams accept Intel's argument that the next phase depends on a practical deployment foundation supporting flexibility, interoperability, and measurable outcomes across manufacturing, logistics, field robotics, humanoids, and autonomous systems. For developers focused on prototype-to-production transitions, the value of the pitch is likely to be judged on how well those open platforms work across varied hardware and software — something the session is expected to address directly.
For example, today's edition would include:
AI-summarized, only the topics you pick — one digest a day via Email, LINE, or Slack.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. Q&As are published on this page for other readers too.
Anthropic released Claude Opus 5.5 today and cut its price 20%, with input at $4 per million tokens and output…
Firecrawl announced it has raised $75 million in a Series B round led by Smash Ventures, with participation fr…
ASRock is shifting its business focus toward AI

Anthropic and OpenAI, which spent early September warning that model capabilities are outrunning the safeguard…

Jessica Wachter of Wharton and co-authors estimate hyperscaler spending will reach nearly 1.1兆ドル by 2027, and…

OpenAI released GPT-6 Sol and GPT-6 Luna on September 22, trained the same way as its top-tier GPT-6 Astra, an…
