NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI Picks NBA Champion

Data and Machine Learning used to predict NBA Champion; reframing task as regression problem to predict Champion Share. Model highlights degrees of success in playoffs, offering surprising insights for 2024-25 Playoffs.

Optimizing LLMs for Enterprise SQL Generation

Recent advances in generative AI have led to the evolution of NL2SQL technology, simplifying database queries. AWS and Cisco teams developed a methodology for accurate and scalable NL2SQL solutions for enterprise data, addressing challenges like complex schemas and diverse queries.

Maximizing Efficiency with Amazon Nova Lite: A Cost-Effective Solution

AWS Field Experience (AFX) leverages Amazon Bedrock and AI to streamline sales workflows, with Account Summaries providing comprehensive customer insights. AFX's migration to the Amazon Nova Lite model led to a 90% reduction in costs, enabling faster, more efficient seller interactions and high favorability rates.

Revolutionizing System Optimization

MIT researchers developed a new diagram-based language for optimizing deep-learning algorithms, simplifying complex tasks to napkin-sized drawings. The method focuses on efficient resource usage, particularly for large AI models like ChatGPT, using diagrams to represent parallelized operations on GPUs from companies like NVIDIA.

Fair Pay for UK Authors in AI Training

Publishers and writers back a new collective licence by UK licensing bodies, allowing authors to be compensated for AI model training. The Copyright Licensing Agency, led by the Publishers’ Licensing Services and the Authors’ Licensing and Collecting Society, will introduce this groundbreaking initiative in the summer.

Accelerating Enterprise AI Adoption with NVIDIA NeMo Tools

NVIDIA NeMo microservices enable enterprise IT to build AI teammates that improve productivity by tapping into data flywheels. NeMo tools like Customizer and Evaluator help optimize AI models for accuracy and efficiency, enhancing compliance and security measures.

Transforming Document Processing with AI on Amazon SageMaker

A U.S. National Laboratory implements AI platform on Amazon SageMaker to enhance accessibility of archival data through NER and LLM technologies. The cost-optimized system automates metadata enrichment, document classification, and summarization for improved document organization and retrieval.

Predicting the Point of No Return in Chemical Reactions

MIT researchers have developed a machine-learning model that predicts chemical reaction transition states in less than a second, aiding in the design of sustainable processes to create useful compounds. The model could streamline the process of designing pharmaceuticals and fuels, making it easier for chemists to utilize abundant natural resources efficiently.

Secure Your Sensitive Data with Amazon Bedrock

RAG applications enhance AI tasks with contextually relevant info, but require careful security measures to protect sensitive data. AWS offers generative AI security strategies like Amazon Bedrock Knowledge Bases to safeguard privacy and create appropriate threat models.