NEWS IN BRIEF: AI/ML FRESH UPDATES

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US vs China: The AI Race

Former OpenAI board member Helen Toner warns of 'gradual disempowerment to AI' due to generative AI disruption in jobs market. US targeting of academic research and international students seen as 'great gift' to China in AI competition.

Enhancing Data Consistency in AI with Amazon Nova

Text-to-SQL bridges the gap for non-technical users, providing precise, schema-specific queries for faster decision-making. Amazon Nova with Text-to-SQL outshines other AI approaches for accurate, reliable results from structured data.

Enhance Video Search with AI on Amazon SageMaker

Semantic video search using large vision models enables users to search for video content with natural language queries, enhancing content discovery and moderation. Large vision models like CLIP allow for zero-shot transfer to various computer vision tasks, revolutionizing video search performance.

Streamline Audio Summarization with Amazon Bedrock and Whisper

Automated AI solutions like Open AI Whisper Large V3 Turbo in Amazon Bedrock Marketplace streamline transcription and redaction processes for sensitive data in recordings. Amazon Bedrock's integration with serverless technologies offers a seamless workflow for scalable content processing, ensuring compliance and data protection.

Enhancing SageMaker HyperPod Governance

GPUs are crucial and costly for generative AI workloads, prompting organizations to share high-performance GPU infrastructure across multiple AWS accounts for better resource utilization and cost tracking. SageMaker HyperPod task governance enables multi-account access, streamlining resource allocation and compute utilization for heterogeneous workloads in Amazon EKS clusters.

UK High Court Cracks Down on AI Misuse

High court urges senior lawyers to address misuse of artificial intelligence in legal work. Fake case-law citations revealed in two recent cases, raising concerns about AI-generated content.

Unleashing Anthropic's Power with Amazon Bedrock

Developers enhance large language models with contextual retrieval, improving responses by adding chunk-specific explanatory context to each chunk before generating embeddings. This method mitigates the limitations of traditional RAG systems by preserving dependencies between clauses, enabling more accurate and nuanced answers.

Summer Gaming: 25 New Titles on GeForce NOW!

GeForce NOW offers a summer of gaming with 25 new titles, including exclusive access to Funcom's Dune: Awakening. Enjoy a 40% off Summer Sale for top-tier performance on any device, with new games coming throughout June.

Efficient Kernel Ridge Regression in C#

Kernel ridge regression (KRR) uses a kernel function for complex non-linear data, producing accurate predictions. Training a KRR model involves finding weights using closed-form techniques with a matrix inverse.