In the News
AI Will Do What We Ask. That’s a Problem.
By teaching machines to understand our true desires, one scientist hopes to avoid the potentially disastrous consequences of having them do what we command.
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In The News
A new AI chip can perform image recognition tasks in nanoseconds
A new type of artificial eye, made by combining light-sensing electronics with a neural network on a single tiny chip, can make sense of what it’s seeing in just a few nanoseconds, far faster than existing image sensors.
The era of fake writing is upon us
Over the past year, AI researchers designed computer programs with the ability to generate multi-paragraph stories that remain fairly coherent throughout.
Publication Norms for Responsible AI
Through convenings with the full spectrum of the AI/ML research community, this project intends to explore the challenges and trade-offs in responsible publication to shape best practices in AI research.
Applied use cases
Implicit Competitive Regularization
Where ordinary neural networks learn by minimizing a fixed loss function, GANs consist of two neural networks that compete with each other in a zero-sum game.
Google launches TensorFlow Quantum, a machine learning framework for training quantum models
Google today announced the launch of TensorFlow Quantum, bringing together machine learning and quantum computing initiatives at the company.
Will Big Tech save the NHS – or eat it alive?
Technosalvationism Big promises are made by technophile politicians and tech corporations for the ways in which connected technology will help the state solve a wide range of social challenges.
How much is too much?: The ethics of AI and data in the workplace
We’re now starting to see businesses implement AI and machine learning tools in the work environment, of which many employees may well be unaware.
AI, education and ethics: who should profit from learning?
Up Learn’s software provides animated video lessons, which continuously test students, and it guarantees an A*/A equivalent exam grade — or your money back.
These Industrial Robots Get More Adept With Every Task
Vicarious CEO and cofounder D. Scott Phoenix says the deal demonstrates his business model: Create artificial intelligence software that makes industrial robots smart enough to perform jobs previously done only by people.
Tethys enables students to code for SoftBank’s Pepper humanoid robot
SoftBank Robotics America today announced the launch of Tethys, an integrated development environment designed to teach coding skills.
Alphabet Is Developing a Robot to Take Over Boring Everyday Tasks
Robots excel at carrying out specialized tasks in controlled environments, but put them in your average office and they’d be lost.
Podcast: Potential and Pitfalls of AI with Dr. Eric Horvitz
I want to hear a song sung by a human who experienced something, the way I would experience something, not a machine.
Speeding Up Transformer Training and Inference By Increasing Model Size
Model Training Can Be Slow In deep learning, using more compute (e.g., increasing model size, dataset size, or training steps) often leads to higher accuracy.
3 Seattle companies make CB Insights’ list of world’s most promising AI startups
Algorithmia raised a $25 million Series B investment round last year and is ranked No. The company is led by former Microsoft employee Diego Oppenheimer, a finalist for Startup CEO of the Year at this year’s GeekWire Awards.