Amazon, NVIDIA, and a new "physical AI" fellowship

What happens when Amazon, NVIDIA, and MassRobotics team up to merge generative AI with robotics?

In this episode of TechFirst we chat with Amazon's Taimur Rashid, Head of Generative AI and Innovation Delivery. We talk about "physical AI" ... AI with spatial awareness and the ability to act safely and intelligently in the real world.

We also chat about the first cohort of a new accelerator for robotics startups.

It's sponsored by Amazon and NVIDIA, run by MassRobotics, and includes startups doing autonomous ships, autonomous construction robots, smart farms, hospital robots, manufacturing and assembly robots, exoskeletons, and more.

We talk about:

- Why “physical AI” is the missing piece for robots to become truly useful and scalable

- How startups in Amazon’s and NVIDIA’s new Physical AI Fellowship are pushing the limits of robotics from exoskeletons to farm bots

- What makes robotic hands so hard to build

- The generalist vs. specialist debate in humanoid robots

- How AI is already making Amazon warehouses 25% more efficient

This is a deep dive into the next phase of AI evolution: intelligence that can think, move, and act.

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00:00 — Intro: Is physical AI the missing piece?

00:46 — What is “physical AI”?

02:30 — How LLMs fit into the physical world

03:25 — Why safety is the first principle of physical AI

04:20 — Why physical AI matters now

05:45 — Workforce shortages and trillion-dollar opportunities

07:00 — Falling costs of sensors and robotics hardware

07:45 — The biggest challenges: data, actuation, and precision

09:30 — The fine-grained problem: how robots pick up a berry vs. an orange

11:10 — Inside the first Physical AI cohort: 8 startups to watch

12:25 — Bedrock Robotics: autonomy for construction vehicles

12:55 — Diligent Robotics: socially intelligent humanoids in hospitals

14:00 — Generalist vs. specialist robots: why we’ll need both

15:30 — The future of physical AI in healthcare and manufacturing

16:10 — How Amazon is already using robots for 25% more efficiency

17:20 — The fellowship’s future: expanding beyond startups

18:10 — Wrap-up and key takeaways