Remove AI Development Remove AI Modeling Remove Explainability Remove Robotics
article thumbnail

Following the Prompts: Generative AI Powers Smarter Robots With NVIDIA Isaac Platform

NVIDIA

Generative AI is reshaping trillion-dollar industries, and NVIDIA, a front-runner in smart robotics, is seizing the moment. Speaking today as part of a special address ahead of CES, NVIDIA Vice President of Robotics and Edge Computing Deepu Talla detailed how NVIDIA and its partners are bringing generative AI and robotics together.

Robotics 120
article thumbnail

Who Is Responsible If Healthcare AI Fails?

Unite.AI

Who is responsible when AI mistakes in healthcare cause accidents, injuries or worse? Depending on the situation, it could be the AI developer, a healthcare professional or even the patient. Liability is an increasingly complex and serious concern as AI becomes more common in healthcare. Both categories have their risks.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

‘Accelerate Everything,’ NVIDIA CEO Says Ahead of COMPUTEX

NVIDIA

Our basic philosophy is very simple: build the entire data center scale, disaggregate and sell to you parts on a one-year rhythm, and push everything to technology limits,” Huang explained. Accelerated Computing Is Sustainable Computing’ NVIDIA is driving down the cost of turning data into intelligence, Huang explained as he began his talk.

Robotics 140
article thumbnail

Unlocking the Black Box: LIME and SHAP in the Realm of Explainable AI

Mlearning.ai

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI?

article thumbnail

Riding the Wayve of AV 2.0, Driven by Generative AI

NVIDIA

Generative AI is propelling AV 2.0, a new era in autonomous vehicle technology characterized by large, unified, end-to-end AI models capable of managing various aspects of the vehicle stack, including perception, planning and control.

article thumbnail

What Is Trustworthy AI?

NVIDIA

Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change. What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.

AI 127
article thumbnail

How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Metadata 177