Demis Hassabis & John Jumper awarded Nobel Prize in Chemistry
AI

Demis Hassabis & John Jumper awarded Nobel Prize in Chemistry

This morning, Co-founder and CEO of Google DeepMind and Isomorphic Labs Sir Demis Hassabis, and Google DeepMind Director Dr. John Jumper were co-awarded the 2024 Nobel Prize in Chemistry for their work developing AlphaFold, a groundbreaking AI system that predicts the 3D structure of proteins from their amino acid sequences. David Baker was also co-awarded […]

Augmented object intelligence with XR-Objects
AI

Augmented object intelligence with XR-Objects

The implementation of XR-Objects involves four steps: (1) detecting objects, (2) localizing and anchoring onto objects, (3) coupling each object with an MLLM for metadata retrieval, and (4) executing actions and displaying the output in response to user input. We use Unity and its AR Foundation to bring these together to build a system that

Augmented object intelligence with XR-Objects
AI

Predicting fetal well-being from cardiotocography signals using AI

Cardiotocography (CTG) is a doppler ultrasound–based technique used during pregnancy and labor to monitor fetal well-being by recording fetal heart rate (FHR) and uterine contractions (UC). CTG can be done continuously or intermittently, with leads placed either externally or internally. External CTG involves the use of two sensors placed on the birthing parent’s belly: an

How AlphaChip transformed computer chip design
AI

How AlphaChip transformed computer chip design

Science Published 26 September 2024 Authors Anna Goldie and Azalia Mirhoseini Our AI method has accelerated and optimized chip design, and its superhuman chip layouts are used in hardware around the world In 2020, we released a preprint introducing our novel reinforcement learning method for designing chip layouts, which we later published in Nature and

The Intelligence Age by Sam Altman • AI Blog
AI

The Intelligence Age by Sam Altman • AI Blog

Sam Altman’s blog post “The Intelligence Age” discusses the transformative potential of AI, predicting a future where AI can help solve hard problems, drastically improve quality of life, and create significant societal progress. He envisions personal AI teams aiding individuals, personalized virtual tutors for education, and breakthroughs in healthcare and software development. Altman emphasizes that

Augmented object intelligence with XR-Objects
AI

Scaling up linear programming with PDLP

Classic linear programming (LP) problems are one of the most foundational problems in computer science and operations research. With extensive applications across numerous sectors of the global economy, such as manufacturing, networking, and other fields, LP has been the cornerstone of mathematical programming and has significantly influenced the development of today’s sophisticated modeling and algorithmic

Augmented object intelligence with XR-Objects
AI

Open Buildings 2.5D Temporal dataset tracks building changes across the Global South

By the year 2050 the world’s urban population is expected to increase by 2.5 billion, with nearly 90% of that growth occurring in cities across Asia and Africa. To effectively plan for this population growth, respond to crises, and understand urbanization’s impact, governments, humanitarian organizations, and researchers need data about buildings and infrastructure, including how

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