Evaluating and enhancing probabilistic reasoning in language models
AI

Evaluating and enhancing probabilistic reasoning in language models

To understand the probabilistic reasoning capabilities of three state-of-the-art LLMs (Gemini, GPT family models), we define three distinct tasks: estimating percentiles, drawing samples, and calculating probabilities. These tasks reflect key aspects of interpreting probability distributions, such as understanding where a sample falls within a distribution (percentiles), generating representative data (sampling), and assessing the likelihood of […]

Evaluating and enhancing probabilistic reasoning in language models
AI

HDR photo editing with machine learning

High dynamic range (HDR) photography techniques can accurately capture a scene’s full range of brightness values — from those of its darkest shadows to its brightest light sources. However, when the time comes to view the resulting HDR photos, many displays are only capable of showing a limited range of brightness levels. This discrepancy means

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

Evaluating and enhancing probabilistic reasoning in language models
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

Evaluating and enhancing probabilistic reasoning in language models
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

Scroll to Top