In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarises relevant work, much of it from the previous millennium. Shallow and…
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 EU in 2018, it will restrict automated individual decision-m…
Bibliography: p. 207-223
Can a machine ever become self-aware? Does consciousness depend on the material neurons are made of or can humans use hardware to replicate it?
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 comprehensive overview of the health equity issues related to t…
Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic signs. Our biologically plausible, wide and deep artificial neural network architectures can. Small (of…
Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic signs. Our biologically plausible deep artificial neural network architectures can. Small (often minima…
Geoffrey Hinton is considered a godfather of artificial intelligence, having championed machine learning decades before it became mainstream. As chatbots like ChatGPT brings his work to widespread attention, Brook Silva-Braga spoke to Hinton about the past, pr…
Recent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Leveraging deep generative models,…
Whether you’re worried about being replaced by a machine, or just intrigued by the possibilities, here are some frequently used buzzwords related to artificial intelligence and what they actually mean.
Talk. Visit to W.L. Maxson Corp. at 475 Tenth Ave. to see their electronic Nim machine. Interview with its makers, Eugene Grant, Herbert Koppel and Howard …
Developing disease-modifying drugs for neurodegenerative diseases has been very challenging. Now a machine learning approach has been used to identify small molecule inhibitors of α-synuclein aggregation, a process implicated in Parkinson’s disease and other s…
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Open Source Azure AI documentation including, azure ai, azure studio, machine learning, genomics, open-datasets, and search - MicrosoftDocs/azure-ai-docs
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