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Reduce costs and improve job run times with Dataproc autoscaling enhancements

Key considerations for evaluating AI-powered tools for enterprise developers: Exploring the benefits of generative AI in software development and providing guidance for selecting the right solution.

GKE is the ideal platform for running containerized batch workloads with scalability, multi-tenancy, queueing, and cost optimization.

Perform ML predictions in Google Cloud Spanner using SQL queries and Vertex AI integration.

Discover the architecture of today's LLM applications and learn how to build your own LLM app with GitHub's machine learning experts.

Towards real-world streaming speech translation for code-switched speech with focus on translation to a third language

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.