Why Elon Musk Wouldn’t Face Twitter in Court
Legal experts say that Musk faced an “uphill battle” to prove his claims of fraud over bots on the platform, and risked damaging revelations during trial.
Streamers Use Playlists to Control the Music Industry
The recorded music market is regaining its former hourglass shape—this time with platforms like Spotify at the center.
Six-Word Sci-Fi: Stories Written by You
Here’s this month’s prompt, how to submit, and an illustrated archive of past favorites.
Is ‘Green Capitalism’ Total BS?
In The Value of a Whale, author Adrienne Buller argues forcefully against market-based “solutions” to the climate crisis. She thinks we can do better.
AI models can now continually learn from new data on intelligent edge devices like smartphones and sensors
A new technique enables on-device training of machine-learning models on edge devices like microcontrollers, which have very limited memory. This could allow edge devices to continually learn from new data, eliminating data privacy issues, while enabling user customization.
New algorithms help four-legged robots run in the wild
A new system of algorithms enables four-legged robots to walk and run on challenging terrain while avoiding both static and moving obstacles. The work brings researchers a step closer to building robots that can perform search and rescue missions or collect information in places that are too dangerous or difficult for humans.
New technique enables on-device training using less than a quarter of a megabyte of memory
Microcontrollers, miniature computers that can run simple commands, are the basis for billions of connected devices, from internet-of-things (IoT) devices to sensors in automobiles. But cheap, low-power microcontrollers have extremely limited memory and no operating system, making it challenging to train artificial intelligence models on “edge devices” that work independently from central computing resources.
New algorithms help four-legged robots run in the wild
A team led by the University of California San Diego has developed a new system of algorithms that enables four-legged robots to walk and run on challenging terrain while avoiding both static and moving obstacles.
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss
A central issue in machine learning is how to train models on sensitive user data. Industry has widely adopted a simple algorithm: Stochastic Gradient Descent with noise (a.k.a. Stochastic Gradient Langevin Dynamics). However, foundational theoretical questions about this algorithm’s privacy loss remain open — even in the seemingly simple setting of smooth convex losses over …
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