Dimensionality reduction slashes the costs of machine learning and sometimes makes it possible to solve complicated problems with simpler models.
OpenAI's o3-mini is a game-changer—faster, cheaper, and smarter than o1, but it's also a bid to reclaim dominance amid DeepSeek's rising threat.
Federated learning is a technique that helps train machine learning models without sending sensitive user data to the cloud.
Recurrent neural networks enable computers to process text, videos, time series, and other sequential data.
By Katie Kuchta
How long since you let your fingers go walking through the Yellow Pages? Or cracked open an encyclopedia? Or called the library looking for help with homework?
If you’re like most of the online...
Large language models (LLM) require huge memory and computational resources. LLM compression techniques make models more compact and executable on memory-constrained devices.
Huge salaries and bonuses at tech firms are luring AI scientists away from universities. How will this artificial intelligence brain drain affect the AI industry?
Membership inference attacks can detect examples used to train machine learning models even after those examples have been discarded.
Deep reinforcement learning is one of the most interesting branches of AI, responsible for achievements such as mastering complex games, self-driving cars, and robotics.
Grok-3 storms the AI scene, boasting superior capabilities and competitive benchmarks. Here's everything to know about this new LLM and LRM from xAI.