Andrey Kurenkov

Commentary by Andrey Kurenkov

From the commentary rail — every link leaves the site for the original piece.

• 21 August 2022 · The GradientThe Future of Speech Recognition: Where Will We Be in 2030?Migüel Jetté's and Corey Miller's piece on the future of ASR
• 12 June 2022 · The GradientLessons from the GPT-4Chan ControversyWhat happened with GPT-4chan, aka 'the worst AI ever', and what can be learned from it
• 4 June 2022 · The GradientAI is Ushering In a New Scientific RevolutionAI is ushering in a new scientific revolution by making remarkable breakthroughs in a number of fields, unlocking new approaches to science, and accelerating the pace of science and innovation.
• 30 May 2022 · The GradientWorking on the Weekends - an Academic Necessity?If there is one thing that seems more typical of academia than having a terrible work-life balance, it is complaining about the terrible work-life balance we have. So what do we do about it?
• 9 May 2022 · The GradientBeyond Message Passing: a Physics-Inspired Paradigm for Graph Neural NetworksOn going beyond message-passing based graph neural networks with physics-inspired “continuous” learning models
• 9 May 2022 · The GradientDeep Learning in NeuroimagingAn introduction to unique aspects of neuroimaging data and how we can leverage these aspects with deep learning algorithms.
• 18 April 2022 · The GradientAI Startups and the Hunt for Tech Talent in VietnamAs recruitment for AI talent becomes more and more competitive, how can countries with developing tech sectors keep up?
• 9 April 2022 · The GradientNew Technology, Old Problems: The Missing Voices in Natural Language ProcessingWho and what is being represented in data and development of NLP models, and how unequal representation leads to unequal allocation of the benefits of NLP technology
• 19 February 2022 · The GradientOne Voice Detector to Rule Them AllVAD is among the most important and fundamental algorithms in any production or data preparation pipelines related to speech
• 12 February 2022 · The GradientHow AI is Changing Chemical DiscoveryThis article covers some of the more prominent usages of AI in chemistry, the parent discipline of the protein folding problem
• 29 January 2022 · The GradientEngaging with DisengagementHow will traffic laws change as we slowly enter the autonomous vehicle era, and in general, the AI-driven 21st century?
• 15 January 2022 · The GradientA Science Journalist’s Journey to Understand AI7 lessons author Kathryn Hulick learned while writing her educational books about AI and other scientific topics
• 18 December 2021 · The GradientAI and the Future of Work: What We Know TodayOne of the most important issues in contemporary societies is the impact of automation on human work. With AI becoming ever more advanced, what will its impact on automation be?
• 14 December 2021 · The GradientNew Datasets to Democratize Speech Recognition TechnologyPresenting the The People’s Speech, a massive English-language dataset of audio transcriptions, and the Multilingual Spoken Words Corpus (MSWC), a 50-language, 6000-hour dataset of individual words
• 11 December 2021 · The GradientHow to Train your Decision-Making AIsHow do humans transfer their knowledge and skills to artificial decision-making agents more efficiently? What kind of knowledge and skills should humans provide and in what format?
• 13 November 2021 · The GradientExplain Yourself - A Primer on ML Interpretability & ExplainabilityOn the intersection of causality and interpretability, exciting and promising research areas in the field of Machine Learning
• 30 October 2021 · The GradientStrong AI Requires Autonomous Building of Composable ModelsOn why strong AI must be able to compose these models dynamically to generate combinatorial representations
• 11 September 2021 · The GradientHas AI found a new Foundation?Over a hundred researchers at Stanford think so. We are not so sure.
• 21 August 2021 · The GradientAn Introduction to AI Story GenerationA primer on automated story generation and how it it strikes at some fundamental research questions in artificial intelligence.
• 14 August 2021 · The GradientSystems for Machine LearningOn the field of Machine Learning Systems and how it addresses the new challenges of ML with a lens shaped by traditional systems research
• 7 August 2021 · The GradientMachine Learning Won't Solve Natural Language UnderstandingAn argument that it is time to re-think our approach to natural language understanding, since the ‘big data’ approach to NLU is implausible and flawed..
• 31 July 2021 · The GradientMachine Translation Shifts PowerThe creation, development, and deployment of machine translation technology is historically entangled with practices of surveillance and governance.