Breakthrough Neuron-Mimicking Nanoscale Electronic Circuit Element for Neuromorphic AI
Researchers introduce an isolated nanoscale electronic circuit element that can perform nonmonotonic operations and transistorless all-analogue computations.
Tag: Stanford
Love-Love: Stanford Researchers Generate Realistic ‘Fake’ Wimbledon
A Stanford University research team has responded with an AI-powered model capable of realistically simulating a Wimbledon final and more.
Introducing Holicity: A City-Scale Dataset for Learning Holistic 3D Structures
HoliCity, a city-scale dataset and all-in-one data platform for research into learning abstracted high-level holistic 3D structures derived from city CAD (computer-aided design) models.
Adobe and Stanford Unveil SOTA Method for Human Pose Estimation
The researchers say the approach produces motions that are visually and physically much more plausible than state-of-the-art methods.
Game On! AI Revolutionizes The Video Game Industry
Synced Global AI Weekly April 21st
Stanford ML Releases MRNet Knee MRI Dataset
The Stanford ML Group led by Andrew Ng has released its MRNet Dataset, which contains more than 1000 annotated knee MRI Scans; and announced an associated public model competition.
MWC 2019: Spotlight on AI & Robotics Innovations
Synced Global AI Weekly March 3rd
NLP Big Week: Stanford Released Python NLP Library; NLP Papers from DeepMind and Facebook
Synced Global AI Weekly February 3rd
AI Loves Open-Sourced Data: What’s New in January
To help keep our readers abreast of the trend, Synced has identified five high-quality open-source datasets that were released this month (January 2019) and that AI researchers and engineers might find useful in their work.
Week of Open Source: Google AI, Facebook and Stanford
Subscribe to Synced Global AI Weekly Natural Questions: a New Corpus and Challenge for Question Answering Research To help spur researchContinue Reading
Stanford Open-Sources Neural Network Verification Project
A Stanford Intelligent Systems Laboratory (SISL) research group has announced it is open-sourcing its NeuralVerification.jl project, which helps verify deep neural networks’ training, robustness and safety results.
Head of R&D Jia Li Leaves Google Cloud AI
Head of R&D of Google Cloud AI Jia Li has left her position with the company. Li informed Synced in a text message yesterday and the Google team confirmed her departure this morning.
Fei-Fei Li’s Stanford Team Is Crowdsourcing Robot Training
Sorting a bunch of differently coloured toy trucks and action figures seems like child’s play, right? Unfortunately this remains a challenging task in the world of machine learning. So why not have humans simply show the machines how to do it?
Fei-Fei Li Named Co-Director of Stanford’s New Human-Centered AI Initiative
Stanford University has announced that the Director of the Stanford Artificial Intelligence Lab (SAIL) and Stanford Vision Lab Dr. Fei-Fei Li will co-direct the California university’s new Human-Centered AI Initiative (HAI).
CMU Dean Andrew Moore To Lead Google Cloud AI; Fei-Fei Li Returns to Stanford
Google Cloud announced today that Carnegie Mellon University School of Computer Science Dean Dr. Andrew Moore will join Google Cloud to lead its AI efforts at the end of this year. The company also announced that its Chief AI Scientist Dr. Fei-Fei Li will return to Stanford University this fall.
ML Community Pledges to Boycott Nature’s New Paywalled Journal
Thousands in the machine learning community say they will boycott Nature’s paywalled Machine Intelligence Journal, which is set for a January 2019 release.
Artificial Intelligence is the New Electricity — Andrew Ng
Andrew Ng – former Baidu Chief Scientist, Coursera co-founder, and Stanford Adjunct Professor – gave a talk at the Stanford MSx Future Forum.