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research.google
research.google › research-areas › algorithms-and-theory
Algorithms and Theory
Feb 20, 2026 —
⏱ 12 min read
www.kdnuggets.com
kdnuggets.com › opti...s-in-neural-networks
Optimization Algorithms in Neural Networks - KDnuggets
Feb 21, 2026 — This article presents an overview of some of the most used optimizers while training a neural network.
⏱ 22 min read
arxiv.org
arxiv.org › abs › 1606.08813
[1606.08813] European Union regulations on algorithmic decision-making and a "right to explanation"
Feb 21, 2026 — We summarize the potential impact that the European Union's new General Data Protection Regulation will have on the routine use of machine learning algorithms. Slated to take effect as law across the ...
⏱ 4 min read
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customers.microsoft.com
customers.microsoft.co...t-365-other-en-japan
PKSHA leans on Copilot for Microsoft 365 as part of their team | Microsoft Customer Stories
Feb 20, 2026 — PKSHA Technology develops algorithmic solutions and AI technologies that help companies become more efficient and improve their processes—they believe in the power of algorithms to solve some of the...
⏱ 19 min read
open.nytimes.com
open.nytimes.com › how-t...dations-7b86df9b22ec
How The New York Times Cooking Team Makes Personalized Recipe Recommendations | by Kyelee Fitts and Celia Eddy | Medium | NYT Open
Feb 21, 2026 — A look into how recommendation algorithms are used to help readers find the right recipes for themselves.
⏱ 12 min read
deepmind.google
deepmind.google › discov...-atari-without-rules
MuZero: Mastering Go, chess, shogi and Atari without rules — Google DeepMind
Feb 21, 2026 — In 2016, we introduced AlphaGo, the first artificial intelligence (AI) program to defeat humans at the ancient game of Go. Two years later, its successor - AlphaZero - learned from scratch to master G...
⏱ 8 min read
ui.adsabs.harvard.edu
ui.adsabs.harvard.edu › abs › 2022Natur.602..223W
Outracing champion Gran Turismo drivers with deep reinforcement learning - ADS
Feb 21, 2026 — Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these co...
doi.org
doi.org › 10.1038%2Fs41586-021-04357-7
Outracing champion Gran Turismo drivers with deep reinforcement learning | Nature
Feb 21, 2026 — Using the game Gran Turismo, an agent was trained with a combination of deep reinforcement learning algorithms and specialized training scenarios, demonstrating success against championship-level...
⏱ 17 min read
www.vanityfair.com
vanityfair.com › new...e-conspiracy-problem
YouTube Struggles to Contain Its Conspiracy Problem | Vanity Fair
Feb 21, 2026 — Tech companies are losing the war to control their own algorithms.
⏱ 8 min read
pubmed.ncbi.nlm.nih.gov
pubmed.ncbi.nlm.nih.gov › 32236794
A critical perspective on guidelines for responsible and trustworthy artificial intelligence - PubMed
Feb 21, 2026 — Artificial intelligence (AI) is among the fastest developing areas of advanced technology in medicine. The most important qualia of AI which makes it different from other advanced technology products ...
⏱ 6 min read
doi.org
doi.org › 10.1007%2Fs11019-020-09948-1
A critical perspective on guidelines for responsible and trustworthy artificial intelligence | Medicine, Health Care and Philosophy | Springer Nature Link
Feb 21, 2026 — Artificial intelligence (AI) is among the fastest developing areas of advanced technology in medicine. The most important qualia of AI which makes it different from other advanced technology products ...
⏱ 8 min read
ui.adsabs.harvard.edu
ui.adsabs.harvard.edu › abs › 2015Sci...349..255J
Machine learning: Trends, perspectives, and prospects - ADS
Feb 21, 2026 — Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today’s most rapidly growing technical fields, lying at the intersection...
ui.adsabs.harvard.edu
ui.adsabs.harvard.edu › abs › 2015Natur.518..529M
Human-level control through deep reinforcement learning - ADS
Feb 25, 2026 — 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 e...
⏱ 2 min read
doi.org
doi.org › 10.1038%2Fnature14236
Human-level control through deep reinforcement learning | Nature
Feb 25, 2026 — An artificial agent is developed that learns to play a diverse range of classic Atari 2600 computer games directly from sensory experience, achieving a performance comparable to that of an e...
⏱ 16 min read
doi.org
doi.org › 10.2196%2F42936
JMIR AI - Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review
Feb 21, 2026 — Background: Emerging artificial intelligence (AI) applications have the potential to improve health, but they may also perpetuate or exacerbate inequities. Objective: This review aims to provide a com...
⏱ 43 min read
pubmed.ncbi.nlm.nih.gov
pubmed.ncbi.nlm.nih.gov › 26185243
Machine learning: Trends, perspectives, and prospects - PubMed
Feb 21, 2026 — Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection o...
⏱ 5 min read
www.ncbi.nlm.nih.gov
ncbi.nlm.nih.gov › pubmed › 9377276
Long short-term memory - PubMed
Feb 25, 2026 — 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 ...
⏱ 5 min read
www.ncbi.nlm.nih.gov
ncbi.nlm.nih.gov › pubmed › 26185243
Machine learning: Trends, perspectives, and prospects
Feb 25, 2026 — Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection o...
www.ncbi.nlm.nih.gov
ncbi.nlm.nih.gov › pubmed › 25719670
Human-level control through deep reinforcement learning - PubMed
Feb 25, 2026 — 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 e...
⏱ 7 min read
www.ncbi.nlm.nih.gov
ncbi.nlm.nih.gov › pubmed › 26017442
Deep learning
Feb 25, 2026 — 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...