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Efficient sleep staging with transformer pre-training for label reduction

Efficiently develop and train large models with Metaflow and AWS Trainium for cost-effective AI systems

Julie Shah appointed head of Department of Aeronautics and Astronautics brings visionary leadership and technical expertise in robotics and AI to drive collaboration between humans and robots.

Exploring the integration of generative AI in teaching and learning at MIT, emphasizing critical thinking skills and iterative experimentation.

Harnessing AI and machine learning for improved tornado detection and forecasting using a groundbreaking open-source dataset called TorNet.

Optimizing IP address allocation for Kubernetes Pods using non-RFC1918 ranges and IP masquerading

Unlocking customer insights through BigQuery's speech-to-text for audio reviews analysis

Empower telecom applications with enhanced networking and Kubernetes capabilities

Enhancing the Chrome address bar with machine learning models for improved relevance and precision of web page suggestions.

Cohere Command R and R+ models are now available in Amazon SageMaker JumpStart for deploying state-of-the-art retrieval augmented generation (RAG)-optimized models designed for enterprise-grade workloads.

Empowering automated malware analysis with Gemini 1.5 Pro for handling large and complex samples efficiently

Enhancing large language model training efficiency with Arcee's CPT and AWS Trainium chips