Google DeepMind's Gemma 4 12B is a significant multimodal AI model designed for local, on-device execution, narrowing the gap between advanced models and practical laptop deployment. It supports text, images, and native audio input, making local experimentation and on-device workflows easier for developers.
Alexander Lerchner, a senior scientist at Google DeepMind, asserts that large language models (LLMs) will never achieve genuine consciousness, terming this idea the 'Abstraction Fallacy'. He argues that even with increased complexity, LLMs will remain incapable of true consciousness, impacting the future of AI development.
Gemma 4 12B is Google DeepMind's open-weight, encoder-free multimodal model, processing text, images, and video in a single unified architecture. With 12 billion parameters, it excels in benchmarks and offers an efficient footprint suitable for developers and researchers.
Google DeepMind, Microsoft, and Elon Musk's xAI have agreed to allow the US government to review their new AI models before public release. The Commerce Department's Center for AI Standards and Innovation (CAISI) will collaborate with these companies for pre-deployment evaluations.
Demis Hassabis, CEO of Google DeepMind and architect of Google's in-house AI lab, has emerged as a prominent background figure in the Musk v. Altman trial. He founded DeepMind in 2010, selling it to Google, and has since led many of the company's biggest AI research breakthroughs.
Google DeepMind employees have voted to unionize to prevent their AI technology from being used by the Israeli and US militaries. Staffers requested recognition from the Communication Workers Union (CWU) and Unite the Union, citing concerns about AI models being complicit in international law violations.
This article differentiates Google's distributed training solutions (DiLoCo/DiPaCo) from the Quadratic Intelligence Swarm (QIS) protocol. It highlights that while Google's tools optimize large-scale training of single models, QIS focuses on decentralized routing of learning outcomes among multiple institutions without centralizing data.
Google DeepMind is launching an accelerator program in Asia Pacific. This initiative aims to address environmental risks using AI technology.
The event explored the collaboration between Y Combinator and Google DeepMind, focusing on innovations from AI startups. New companies and technologies emerging from this partnership were highlighted.
Google DeepMind and Singapore have formed a partnership to apply frontier AI to address complex challenges. This collaboration will focus on areas such as health, education, and sustainability.
Google DeepMind is transforming the mouse pointer into a context-aware AI partner. This enables intuitive AI collaboration in Chrome and beyond, moving past the friction of traditional prompting.
A software developer claims to have reverse-engineered Google DeepMind's SynthID system, demonstrating how AI watermarks can be stripped or manually inserted into images. While Google denies the claim, the developer open-sourced their work, stating it only required Gemini-generated images and signal processing.
Este conteúdo explora o Project Genie do Google DeepMind, ensinando como usar prompts para criar novos mundos virtuais.
This article unpacks Google DeepMind CEO Demis Hassabis's statement at Google I/O, where he declared the company's ambition to "solve all disease" through reimagining drug discovery. The Verge's newsletter discusses the implications and context of such a bold claim.
Google DeepMind is partnering with global consultancies. This collaboration aims to bring the power of frontier AI to organizations around the world.
O Google DeepMind está levando sua iniciativa de Parcerias Nacionais para IA para a Índia, com o objetivo de expandir o uso da inteligência artificial. Isso visa acelerar descobertas científicas e aprimorar o setor de educação no país.
O Google DeepMind está pesquisando os riscos de manipulação prejudicial da IA em setores como finanças e saúde. Esse trabalho visa desenvolver novas medidas de segurança para proteger as pessoas.
Coursera has expanded its micro-credential catalog with ten new programs from leading partners including Google DeepMind, Meta, and Microsoft. A new report indicates that 85% of graduates secure a job in their field through these credentials.
The CEO of Google DeepMind enjoys tackling difficult questions. He actively seeks out hard problems to drive progress.
