NEWS IN BRIEF: AI/ML FRESH UPDATES

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Eric Evans Honored with DOD Medal

Eric Evans receives DoD Medal for Distinguished Public Service for his leadership at MIT Lincoln Laboratory and Defense Science Board. Evans' impact on national security and defense innovation recognized by U.S. Department of Defense.

Unleashing the Power of NVIDIA AI Workbench

NVIDIA AI Workbench simplifies generative AI development with RAG applications, enabling customized models and seamless collaboration. The free tool streamlines setup and offers ease of collaboration across platforms for data scientists and developers.

Protecting Your AI Travel Agent: A Guide for Amazon Bedrock

Travel companies are integrating generative AI for virtual travel agents, enhancing customer experiences with personalized recommendations and efficient booking processes. Guardrails for Amazon Bedrock offer robust safeguards to mitigate risks and enable safe deployment of generative AI technologies, providing industry-leading safety protection and customization options for responsible AI pract...

AI silencing angry customers at Softbank

SoftBank is developing AI-powered "emotion-canceling" tech to alter angry customer voices for calmer calls with customer service. The project aims to reduce operator stress, with plans for launch by March 2026, sparking mixed reactions online.

AI Boom Propels Nvidia to Top Spot

Nvidia surpasses Microsoft and Apple to become world's most valuable company with $3.34tn market cap, driven by AI chip dominance. Shares soar as chipmaker overtakes Apple, solidifying position in tech market.

Revolutionizing Drug Discovery

AI is transforming drug discovery by helping scientists find cost-efficient molecules with desired properties. MIT's SPARROW algorithm streamlines synthesis planning, optimizing costs and experimental steps for new medicines, agrichemicals, and specialized materials.

Unraveling Language Models' Visual Intelligence

MIT researchers found that large language models can understand the visual world and generate complex scenes. By querying LLMs to self-correct code for images, they improved simple drawings and trained a vision system without using visual data.