Google DeepMind

FONTAINEBLEAU, France – October 30, 2026 -- INSEAD has received US$3 million in funding from Google.org and Google DeepMind to establish the Research Lab for Human and Organisational Thriving (INSEAD Thrive Lab), a unit that will study how people and organisations function amid continuous technological change.

Thrive Lab sits within INSEAD's Human and Machine Intelligence Institute

The lab is housed under the Human and Machine Intelligence Institute (HUMII), a cross-disciplinary research body whose core academic team includes 2025 Nobel Laureate in Economics Philippe Aghion and 2025 Oskar Morgenstern Medallist Phanish Puranam. Its research covers three domains: Learning, Working and Relating.

Winnie Jiang, Associate Professor of Organisational Behaviour, serves as Academic Director of the lab. Lily Fang, Dean of Research and Innovation at INSEAD, is Academic Director of HUMII.

Cambridge, Mass. – September 15, 2026 -- MIT Technology Review will cap in-person attendance at its EmTech Future 2026 conference to 500 participants, running September 29 through October 1 on the MIT campus and online under the theme "Convergence."

Event examines intersection of AI, quantum computing, and energy systems

The reimagined flagship conference from MIT Technology Review will use keynotes, interviews, and guided experiences to explore how AI, quantum technologies, and energy infrastructure are beginning to intersect. Agenda tracks include "At the Frontier of Intelligence," covering reasoning and multimodal AI systems, and "At the Quantum Frontier," focused on breakthroughs moving quantum computing from lab to practical deployment.

Kansas City, Mo. – September 13, 2026 -- Google DeepMind has released AlphaGenome Atlas, a one-petabyte AI resource containing molecular-effect predictions for more than 9 billion possible single-letter DNA changes across the human genome, giving researchers browser-based access to the largest catalogue of its kind without writing code.

Atlas condenses billions of genetic variants into a single searchable score

The human genome's approximately 3 billion DNA letters create over 9 billion possible single-letter substitutions, a scale impossible to test experimentally in a lab. AlphaGenome Atlas assigns each variant thousands of molecular-effect predictions across hundreds of human cell types and tissues, feeding into a new AlphaGenome Variant Impact (AVI) score that combines AlphaGenome, AlphaMissense and evolutionary conservation data to rank variants across both protein-coding and non-coding regions.