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The brain may learn about the world through a process similar to self-supervised learning used in computational models, as suggested by studies from MIT researchers at the K. Lisa Yang Integrative Computational Neuroscience Center.

MIT researchers have developed SecureLoop, a search engine that efficiently identifies optimal designs for deep neural network accelerators, boosting performance while preserving data security.

New techniques efficiently accelerate sparse tensors for massive AI models

Highlighting the importance of data development in enterprise AI with LLMs at the Enterprise LLM Summit

Enterprise LLM Summit highlights the importance of data development in deploying and customizing large language models (LLMs) for modern enterprise AI.

Audioplethysmography (APG) enables ANC hearables to monitor a user's physiological signals, such as heart rate and heart rate variability, without adding extra sensors or compromising battery life.

Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features

Preventing problematic recommendations in item-to-item recommendation systems through a classifier using active learning and human raters

The Enterprise LLM Summit highlighted the importance of data development for modern enterprise AI, showcasing various techniques and strategies for developing and deploying LLMs with confidence.

Demystifying LLMs: Exploring the capabilities of large language models and their ethical implications

New technical papers on infrastructure security by Google's infrastructure security teams, providing insight into securing distributed systems and protecting physical-to-logical space and enforcing boot integrity on production machines.

Alloy DB connectors offer convenient and secure connection between your application and fully-managed PostgreSQL database