A new AI training method is designed to boost efficiency and mimic human-like reasoning in large language models. Microsoft researchers claim the approach has the potential to be groundbreaking.

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

People’s daily interactions with online algorithms affect how they learn from others, with negative consequences including social misperceptions, conflict and the spread of misinformation, my ...

Video: How do you add efficiency in AI models? First, look where people are looking. What you get, starting out in this video, is that algorithms impact our lives in, as CSAIL grad student Sandeep ...