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Artificial intelligence in healthcare: transforming the practice of medicine - P…

Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the potential to fundamentally transform the practice of medicine and the delivery of healthcare. In this review article, we outline recent breakthroughs in the applicatio…

Mastering the game of Go with deep neural networks and tree search - PubMed

The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. Here we introduce a new approach to computer Go that uses 'v…

Deep learning

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object r…

Human-level control through deep reinforcement learning - PubMed

The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an environment. To use reinforcement learning successfully in si…

Highly accurate protein structure prediction with AlphaFold

Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort^1-4, the structures of around 100,000 unique proteins have been determined<sup>5</…

Artificial intelligence. Autonomous mental development by robots and animals - P…

Artificial intelligence. Autonomous mental development by robots and animals

Using commercial knowledge bases for clinical decision support: opportunities, h…

Using commercial knowledge bases for clinical decision support: opportunities, hurdles, and recommendations

Judgment under Uncertainty: Heuristics and Biases - PubMed

This article described three heuristics that are employed in making judgements under uncertainty: (i) representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; (ii) ava…

RadioComics - Santa Claus and the future of radiology

RadioComics - Santa Claus and the future of radiology

Long short-term memory - PubMed

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…

Deep learning in neural networks: an overview

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…

Computer science. Heads-up limit hold'em poker is solved

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…

Majority of Americans have heard of ChatGPT, but few have tried it | Pew Researc…

Just 14% of all U.S. adults say they have used ChatGPT for entertainment, to learn something new, or for their work.

Majority of Americans have heard of ChatGPT, but few have tried it | Pew Researc…

Just 14% of all U.S. adults say they have used ChatGPT for entertainment, to learn something new, or for their work.

Information for people who don’t use Meta Products | Instagram Help Center

How meta processes non-user data through contact uploading or contact syncing on Facebook, Messenger or Instagram.

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