Google

Google is empowering developers to build autonomous agents using little or no custom code.

Humanoid robots can play football (known as soccer in the United States) in the real world, thanks to reinforcement learning.

AI agents are typically designed to operate a particular software environment. Recent work enabled a single agent to take actions in a variety of three-dimensional virtual worlds.

Google is paying newsrooms to use a system that helps transform press releases into articles.

Google asserted its open source bona fides with new models. Google released weights for Gemma-7B, an 8.5 billion-parameter large language model intended to run GPUs, and Gemma-2B, a 2.5 billion-parameter version intended for deployment on CPUs and edge devices.

An update of Google’s flagship multimodal model keeps track of colossal inputs, while an earlier version generated some questionable outputs.

GPT-4 poses negligible additional risk that a malefactor could build a biological weapon, according to a new study. OpenAI compared the ability of GPT-4 and web search to contribute to the creation of a dangerous virus or bacterium. The large language model was barely more helpful than the web.

Text-to-video has struggled to produce consistent motions like walking and rotation. A new approach achieves more realistic motion.

Machine learning algorithms often struggle with geometry. A language model learned to prove relatively difficult theorems. 

A neural network makes music for unaccompanied vocal tracks. Chris Donahue, Antoine Caillon, Adam Roberts, and colleagues at Google proposed SingSong, a system that generates musical accompaniments for sung melodies. You can listen to its output here.

How will we know if someone succeeds in building artificial general intelligence (AGI)? A recent paper defines milestones on the road from calculator to superintelligence.

A microscope enhanced with augmented reality is helping pathologists recognize cancerous tissue. The United States Department of Defense is using microscopes that use machine learning models based on research from Google to detect cancers.

Google unveiled Gemini, its bid to catch up to, and perhaps surpass, OpenAI’s GPT-4. Google demonstrated the Gemini family of models that accept any combination of text (including code), images, video, and audio and output text and images. The demonstrations and metrics were impressive...

A pretrained large language model has helped a robot resolve high-level commands into sequences of subtasks. It can do this more precisely with additional training — both on language-vision tasks and robotics tasks. 

Online sorting algorithms run trillions of times a day to organize lists according to users’ interests. New work found faster alternatives. Daniel J. Mankowitz and colleagues at Google developed AlphaDev, a system that learned to generate algorithms that sort three...