people.idsia.ch/~juergen
Juergen Schmidhuber's home page - Universal Artificial Intelligence - AI - Deep…
www.theguardian.com/technology/2023/may/02/geoffrey-hinton-godfather-of-ai-quits-google-warns-dangers-of-machine-learning
‘Godfather of AI’ Geoffrey Hinton quits Google and warns over dangers of misinfo…
The neural network pioneer says dangers of chatbots were ‘quite scary’ and warns they could be exploited by ‘bad actors’
pubmed.ncbi.nlm.nih.gov/25462637
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…
arxiv.org/abs/1404.7828
[1404.7828] 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 summarises relevant work, much of it from the previous millennium. Shallow and…
arxiv.org/abs/1606.08813
[1606.08813] European Union regulations on algorithmic decision-making and a "ri…
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…
archive.org/details/mindovermachinep00drey
Mind over machine : the power of human intuition and expertise in the era of the…
Bibliography: p. 207-223
ui.adsabs.harvard.edu/abs/2001Compr..34g..24B
Artificial Consciousness: Utopia or Real Possibility? - ADS
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?
doi.org/10.2196%2F42936
JMIR AI - Strategies to Improve the Impact of Artificial Intelligence on Health…
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…
doi.org/10.1109%2Fcvpr.2012.6248110
Multi-column deep neural networks for image classification | IEEE Conference Pub…
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…
arxiv.org/abs/1202.2745
[1202.2745] Multi-column Deep Neural Networks for Image Classification
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…
exhibits.stanford.edu/feigenbaum/catalog/gz727rg3869
Speculations Concerning the First Ultraintelligent Machine - The Edward A. Feige…
www.cbsnews.com/video/godfather-of-artificial-intelligence-talks-impact-and-potential-of-new-ai
"Godfather of artificial intelligence" talks impact and potential of new AI - CB…
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…
doi.org/10.1007%2Fs12525-023-00680-1
Generative artificial intelligence | Electronic Markets | Springer Nature Link
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,…
news.bloomberglaw.com/tech-and-telecom-law/a-cheat-sheet-to-ai-buzzwords-and-their-meanings-quicktake
A Cheat Sheet to AI Buzzwords and Their Meanings: QuickTake
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.
doi.org/10.26782%2Fjmcms.spl.7%2F2020.02.00006
AN EMPIRICAL SCIENCE RESEARCH ON BIOINFORMATICS IN MACHINE LEARNING – JOURNAL OF…
web.archive.org/web/20200216034025/https://www.newyorker.com/magazine/1952/08/02/it
It | The New Yorker
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 …
doi.org/10.1038%2Fs41589-024-01580-x
Discovery of potent inhibitors of α-synuclein aggregation using structure-based…
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…
go.microsoft.com/fwlink/?linkid=2280842&clcid=0x409
What is a data lakehouse? - Azure Databricks | Microsoft Learn
Use Databricks in a data lakehouse paradigm for generative AI, ACID transactions, data governance, ETL, BI, and machine learning.
go.microsoft.com/fwlink/?linkid=2280351&clcid=0x409
Azure Databricks documentation | Microsoft Learn
Learn Azure Databricks, a unified analytics platform for data analysts, data engineers, data scientists, and machine learning engineers.
github.com/MicrosoftDocs/azure-ai-docs/blob/main/articles/ai-foundry/openai/concepts/provisioned-throughput.md
azure-ai-docs/articles/ai-foundry/openai/concepts/provisioned-throughput.md at m…
Open Source Azure AI documentation including, azure ai, azure studio, machine learning, genomics, open-datasets, and search - MicrosoftDocs/azure-ai-docs