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LightOn plans to expand in Europe and the Middle East, targeting sectors such as banking, defence and high-tech which require their data to be protected on local servers, the French company's co ...
He emphasized the need for independent safety evaluations, stating that AI companies cannot "mark their own homework". [4] During the summit in November 2023, the UK AISI was officially established as an evolution of the Frontier AI Taskforce, [5] and the US AISI as part of the NIST. Japan followed by launching an AI safety institute in ...
Then, at the Seoul AI Summit, 16 companies, across the U.S., China, France, Canada, and South Korea signed voluntary commitments to identify, assess and manage risks stemming from their AI systems ...
The AI Seoul Summit is the second such meeting following the AI Safety Summit held in the United Kingdom in November 2023. In the Bletchley Declaration, the participating countries agreed to prioritize identifying AI safety risks of shared concern, a shared concern, but at the Seoul Summit, the leaders also recognized the importance of AI.
2024 On February 15, 2024, Google releases Gemini 1.5 in limited beta, capable of context length up to 1 million tokens. Also, on February 15, 2024, OpenAI publicly announces Sora, a text-to-video model for generating videos up to a minute long. Google DeepMind unveils DNA prediction software AlphaFold which helps to identify cancer and genetic ...
A draft text of a Recommendation on the Ethics of AI of the UNESCO Ad Hoc Expert Group was issued in September 2020 and included a call for legislative gaps to be filled. [63] UNESCO tabled the international instrument on the ethics of AI for adoption at its General Conference in November 2021; [56] this was subsequently adopted. [64]
The AI boom [1] [2] is an ongoing period of rapid progress in the field of artificial intelligence (AI) that started in the late 2010s before gaining international prominence in the 2020s. Examples include large language models and generative AI applications developed by OpenAI as well as protein folding prediction led by Google DeepMind .
Google Assistant: is a virtual assistant software application since 2023 developed by Google AI. Serving cloud-based TPUs (tensor processing units) in order to develop machine learning software. [9] [10] The TPU research cloud provides free access to a cluster of cloud TPUs to researchers engaged in open-source machine learning research. [11]