A catalogue of genetic mutations to help pinpoint the cause of diseases
AI

A catalogue of genetic mutations to help pinpoint the cause of diseases

Science Published 19 September 2023 Authors Žiga Avsec and Jun Cheng New AI tool classifies the effects of 71 million ‘missense’ mutations  Uncovering the root causes of disease is one of the greatest challenges in human genetics. With millions of possible mutations and limited experimental data, it’s largely still a mystery which ones could give […]

Identifying AI-generated images with SynthID
AI

Identifying AI-generated images with SynthID

Science Published 29 August 2023 Authors Sven Gowal, Pushmeet Kohli New tool helps watermark and identify synthetic images created by Imagen AI-generated images are becoming more popular every day. But how can we better identify them, especially when they look so realistic? Today, in partnership with Google Cloud, we’re launching a beta version of SynthID,

RT-2: New model translates vision and language into action
AI

RT-2: New model translates vision and language into action

Research Published 28 July 2023 Authors Yevgen Chebotar, Tianhe Yu Robotic Transformer 2 (RT-2) is a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for robotic control High-capacity vision-language models (VLMs) are trained on web-scale datasets, making these systems remarkably good at recognising visual

Using AI to fight climate change
AI

Using AI to fight climate change

How we’re applying the latest AI developments to help fight climate change and build a more sustainable, low-carbon world AI is a powerful technology that will transform our future, so how can we best apply it to help combat climate change and find sustainable solutions? Our climate & sustainability lead, Sims Witherspoon, who recently spoke

Google DeepMind’s latest research at ICML 2023
AI

Google DeepMind’s latest research at ICML 2023

Exploring AI safety, adaptability, and efficiency for the real world Next week marks the start of the 40th International Conference on Machine Learning (ICML 2023), taking place 23-29 July in Honolulu, Hawai’i. ICML brings together the artificial intelligence (AI) community to share new ideas, tools, and datasets, and make connections to advance the field. From

Developing reliable AI tools for healthcare
AI

Developing reliable AI tools for healthcare

New research proposes a system to determine the relative accuracy of predictive AI in a hypothetical medical setting, and when the system should defer to a human clinician Artificial intelligence (AI) has great potential to enhance how people work across a range of industries. But to integrate AI tools into the workplace in a safe

Exploring institutions for global AI governance
AI

Exploring institutions for global AI governance

New white paper investigates models and functions of international institutions that could help manage opportunities and mitigate risks of advanced AI Growing awareness of the global impact of advanced artificial intelligence (AI) has inspired public discussions about the need for international governance structures to help manage opportunities and mitigate risks involved. Many discussions have drawn

Andrew Ng: Unbiggen AI – IEEE Spectrum
Technology

Andrew Ng: Unbiggen AI – IEEE Spectrum

Andrew Ng has serious street cred in artificial intelligence. He pioneered the use of graphics processing units (GPUs) to train deep learning models in the late 2000s with his students at Stanford University, cofounded Google Brain in 2011, and then served for three years as chief scientist for Baidu, where he helped build the Chinese

How AI Will Change Chip Design
Technology

How AI Will Change Chip Design

The end of Moore’s Law is looming. Engineers and designers can do only so much to miniaturize transistors and pack as many of them as possible into chips. So they’re turning to other approaches to chip design, incorporating technologies like AI into the process. Samsung, for instance, is adding AI to its memory chips to

Atomically Thin Materials Significantly Shrink Qubits
Technology

Atomically Thin Materials Significantly Shrink Qubits

Quantum computing is a devilishly complex technology, with many technical hurdles impacting its development. Of these challenges two critical issues stand out: miniaturization and qubit quality. IBM has adopted the superconducting qubit road map of reaching a 1,121-qubit processor by 2023, leading to the expectation that 1,000 qubits with today’s qubit form factor is feasible.

Scroll to Top