Google CloudGKE: The new home for your batch platform
GKE is the ideal platform for running containerized batch workloads with scalability, multi-tenancy, queueing, and cost optimization.
Google CloudSQL-only ML Predictions in Spanner with Vertex AI Integration
Perform ML predictions in Google Cloud Spanner using SQL queries and Vertex AI integration.
GitHubThe architecture of today’s LLM applications
Discover the architecture of today's LLM applications and learn how to build your own LLM app with GitHub's machine learning experts.
Apple MLTowards Real-World Streaming Speech Translation for Code-Switched Speech
Towards real-world streaming speech translation for code-switched speech with focus on translation to a third language
MIT AIThe brain may learn about the world the same way some computational models do
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 AIAccelerating AI tasks while preserving data security
MIT researchers have developed SecureLoop, a search engine that efficiently identifies optimal designs for deep neural network accelerators, boosting performance while preserving data security.
MIT AINew techniques efficiently accelerate sparse tensors for massive AI models
New techniques efficiently accelerate sparse tensors for massive AI models
Snorkel AIEnterprise LLM Summit highlights the importance of data development
Highlighting the importance of data development in enterprise AI with LLMs at the Enterprise LLM Summit
Snorkel AIEnterprise LLM Summit highlights the importance of data development
Enterprise LLM Summit highlights the importance of data development in deploying and customizing large language models (LLMs) for modern enterprise AI.
Google AIAudioplethysmography for cardiac monitoring with hearable devices
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.
Apple MLModality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features
Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features
Apple MLIdentifying Controversial Pairs in Item-to-Item Recommendations
Preventing problematic recommendations in item-to-item recommendation systems through a classifier using active learning and human raters