Last month, a founder I mentor sent me a screenshot of his OpenAI billing dashboard. The number was $2,847. For a single month. For a two-person startup. His product was barely in beta! I have been ...

In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets that quickly overwhelm traditional plotting tools. We work through its full ...

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...

As researchers at the world’s most advanced AI companies prepared to sign a public letter last week warning of frightening new developments in artificial intelligence, Geoffrey Hinton, the godfather ...

Hugging Face Transformers is a state-of-the-art machine learning library that provides easy access to a wide range of pre-trained models for Natural Language Processing (NLP), Computer Vision, Audio ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A critical bottleneck for the training of large neural networks (NNs) is communication ...

Recurrent neural networks (RNNs) have been proved very successful at modeling sequential data such as language or motions. However, these successes rely on the use of the backpropagation through time ...

Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. As ...

Public databases are an important resource for machine learning research, but their growing availability sometimes leads to “off-label” usage, where data published for one task are used for another.