OpenAI researchers recently released a paper describing the development of GPT-3, a state-of-the-art language model made up of 175 billion parameters.
A team of researchers from OpenAI recently published a paper describing GPT-3, a deep-learning model for natural-language with 175 billion parameters, 100x more than the previous version, GPT-2. The model is pre-trained on nearly half a trillion words and achi…
Tremendous advances have been made in multiagent reinforcement learning (MARL). MARL corresponds to the learning problem in a multiagent system in which multiple agents learn simultaneously. It is an interdisciplinary field of study with a long history that in…
Meta AI is a research division of Meta (formerly Facebook) that develops artificial intelligence and augmented reality technologies. Meta AI was founded
Explore the history of ChatGPT with key events from the OpenAI published research in 2016, up to 700 million users in September 2025.
"Frequently Asked Questions | Cloud TPU". Google Cloud. Retrieved 2021-01-14. "Google Colaboratory". colab.research.google.com. Retrieved 2021-05-15. "Use TPUs
DeepMind Technologies Limited, trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory which serves
Multi-agent systems consist of agents and their environment. Typically multi-agent systems research refers to software agents. However, the agents in a
The Cancer Data Science Pulse blog provides insights on data science trends, policies, and innovation driving cancer research and building a national data ecosystem for discovery and impact.
Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort<sup>1-4</sup>, the structures of around 100,000 unique proteins have been determined<sup>5</…
Advances in artificial intelligence (AI) have attracted great attention from researchers and practitioners and have opened up a broad range of beneficial opportunities for AI usage in the public sector. Against this background, there is an emerging need for a…
From fit for purpose development to pie in the sky research, this is what AI looks like in 2020.
From fit for purpose development to pie in the sky research, this is what AI looks like in 2020.
Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introduc…
In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarizes relevant work, much of it from the previous millennium. Shallow and…
Poker is a family of games that exhibit imperfect information, where players do not have full knowledge of past events. Whereas many perfect-information games have been solved (e.g., Connect Four and checkers), no nontrivial imperfect-information game played c…
World Economic Forum | 5,547,789 followers on LinkedIn. We are the international institution for public private cooperation. We connect communities of leaders around global issues through high-level meetings, research, initiatives and digital networks. We are…
World Economic Forum | 5,547,788 followers on LinkedIn. We are the international institution for public private cooperation. We connect communities of leaders around global issues through high-level meetings, research, initiatives and digital networks. We are…
World Economic Forum | 5,547,788 followers on LinkedIn. We are the international institution for public private cooperation. We connect communities of leaders around global issues through high-level meetings, research, initiatives and digital networks. We are…
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