What UC Berkeley AI Experts Are Watching for in 2026
UC Berkeley experts predict important changes in AI by 2026, including impacts on the labor market and trust in information.
Artificial intelligence enables machines to simulate human reasoning and make autonomous decisions. This section covers AI systems, their real-world applications, and their growing impact on society. Stay up to date with the latest breakthroughs and trends in this rapidly evolving field.
UC Berkeley experts predict important changes in AI by 2026, including impacts on the labor market and trust in information.
Holly Elmore calls for a pause on AI development, warning of potential catastrophes.
UC Berkeley researchers train robots in complex skills using AI, achieving high accuracy.
NVIDIA introduces OpenShell for the secure operation of autonomous AI agents, ensuring data protection and compliance with security policies.
NVIDIA announced the Nemotron coalition for the development of open AI models, highlighting the importance of diversity in the technology ecosystem.
Google DeepMind supports the Genesis mission to transform scientific research using AI, accelerating discoveries in the U.S.
2025 brought significant achievements in research and development of AI, quantum computing, and new products from Google.
Google has introduced an update to Gemini 3 Deep Think aimed at solving scientific and engineering challenges using deep knowledge and a practical approach.
Google DeepMind launches an AI initiative in India for science and education, expanding access to advanced technologies.
Google has introduced Gemini 3.1 Flash-Lite, a fast and economical model for developers and enterprises.
AlphaGo marked 10 years since its victory over the world champion in Go, changing approaches to artificial intelligence.
A new paper on progress towards AGI and the cognitive abilities of AI systems has been presented.