références en Anglais

Since Donald Trump's presidential election victory, major tech companies have abandoned years of policies restricting military work and sought out lucrative defense contracts and deeper connections with the Pentagon.

Yuval Noah Harari, renowned historian and author of “Nexus,” explores the indelible impact of AI on human society. We discuss his iconoclastic views on information networks, the inextricable link between technology and political systems, and actionable ways to navigate our rapidly changing world.

Guardian investigation finds almost 7,000 proven cases of cheating – and experts says these are tip of the iceberg

Larry Page. The name instantly evokes Google. He co-founded the search engine that reshaped how we explore the web. Now, whispers suggest he’s pivoting to AI manufacturing.Two publications lit the match: Tech in Asia and The Hindu. Both allege Page quietly built a team of robotics and data-savvy wizards. The result? A stealthy startup aimed at merging artificial intelligence with factory floors. The company’s identity remains hidden. Yet the words “AI manufacturing” capture attention. Manufacturing is massive, vital, and often riddled with inefficiencies. If Page wants to optimize it, the outcome could be game-changing.

Societies increasingly rely on scientists to guide decisions in times of uncertainty, from pandemic outbreaks to the rise of artificial intelligence. Addressing climate change is no different. For governments wanting to introduce ambitious climate policies, public trust in climate scientists is pivotal, because it can determine whether voters support or resist those efforts.

Researchers say Aardvark Weather uses thousands of times less computing power and is much faster than current systemsA single researcher with a desktop computer will be able to deliver accurate weather forecasts using a new AI weather prediction approach that is tens of times faster and uses thousands of times less computing power than conventional systems.

The CIO of Goldman Sachs has said that in the next year, companies at the forefront will begin to use AI agents as if they were employees — as team members with tasks to do.

In recent months we have seen lifechanging technological advances in the capabilities and use of artificial intelligence. At the same time, we are witnessing new, life-threatening risks as a result of AI – from the propagation of disinformation, to mass surveillance, to the prospect of lethal autono

Foundational innovation in cloud technology and artificial intelligence will require more energy than ever before—shattering any illusion that we will restrict supplies.

After yet another summer of increased extreme weather events caused by the burning of fossil fuels, some of the world’s richest oil and gas companies are investing in artificial intelligence (AI) to speed up their extraction of new oil and gas. 

Ask climate-related questions to the IPCC reports

NEW YORK – Bloomberg today released a research paper detailing the development of BloombergGPTTM, a new large-scale generative artificial intelligence (AI) model. This large language model (LLM) has been specifically trained on a wide range of financial data to support a diverse set of natural language processing (NLP) tasks within the financial industry.

We investigate the potential implications of large language models (LLMs), such as Generative Pretrained Transformers (GPTs), on the U.S. labor market, focusing on the increased capabilities arising from LLM-powered software compared to LLMs on their own. Using a new rubric, we assess occupations based on their alignment with LLM capabilities, integrating both human expertise and GPT-4 classifications. Our findings reveal that around 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of LLMs, while approximately 19% of workers may see at least 50% of their tasks impacted. We do not make predictions about the development or adoption timeline of such LLMs. The projected effects span all wage levels, with higher-income jobs potentially facing greater exposure to LLM capabilities and LLM-powered software. Significantly, these impacts are not restricted to industries with higher recent productivity growth. Our analysis suggests that, with access to an LLM, about 15%