OpenAI Launches GPTs to Enable Creating No-Code, Custom Versions of ChatGPT

At the recent OpenAI developer conference, OpenAI announced it is rolling out GPTs, custom versions of ChatGPT created for specific tasks. Developers will also be able to share their GPTs on the forthcoming ChatGPT Store and monetize them, the company says.

Google Announces New DeepMind Model, Lyria, to Generate High-Quality Music

Google has introduced Google DeepMind’s Lyria, an AI music generation model able to generate vocals, lyrics, and background tracks mimicking the style of popular artists. The model is experimentally available on YouTube through two distinct AI experiments.

Apple Open-sources Apple Silicon-Optimized Machine Learning Framework MLX

Apple’s MLX combines familiar APIs, composable function transformations, and lazy computation to create a machine learning framework inspired by NumPy and PyTorch that is optimized for Apple Silicon. Implemented in Python and C++, the framework aims to provide a user-friendly and efficient solution to train and deploy machine learning models on Apple Silicon.

How LinkedIn Uses Machine Learning to Address Content-related Threats and Abuse

To help detect and remove content that violates their standard policies, LinkedIn has been using its AutoML framework, which trains classifiers and experiments with multiple model architectures in parallel, explain LinkedIn engineers Shubham Agarwal and Rishi Gupta.

Researchers at Stanford Use Brain Signals to Control Intelligent Robots

In a paper presented at the 7th Annual Conference on Robot Learning last November, a team of Stanford University researchers presented an intelligent human brain-robot interface that enables controlling a robot through brain signals. Dubbed NOIR, short for Neural Signal Operated Intelligent Robots, the system uses electroencephalography (EEG) to communicate human intentions to the robots.