NEWS IN BRIEF: AI/ML FRESH UPDATES

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Transforming the World with Algorithms and AI

Manish Raghavan at MIT aims to enhance AI for social good, tackling bias in hiring and improving medical decision-making algorithms. With a focus on societal impact, Raghavan's research seeks to address long-standing problems using algorithmic decision-making and AI.

Art for All: Breaking Barriers

NALA, founded by Benjamin Gulak ’22, disrupts the art world by connecting artists directly with buyers through a digital platform. The company aims to dismantle traditional gallery barriers, offering a larger pool of artwork and personalized recommendations.

Mastering the Large Language Model

Learn to build LLMs with the LLM Scientist and Engineer course, covering architecture, tokenization, attention mechanisms, and sampling techniques. Pre-training models require massive datasets and careful curation for optimal performance.

Predicting AWS Network Traffic with GraphStorm

The AWS global backbone network enables reliable service delivery across 34 Regions, 600 CloudFront POPs, and more. AWS uses GML framework GraphStorm to predict and mitigate network congestion risks, addressing complex network management challenges.

Decoding NeRF: A 12-step Visual Journey

NeRF is a cutting-edge method for rendering 2D images from 3D scenes, using an overfitted MLP to compress scene information. It significantly reduces storage requirements and allows for image generation from any viewing direction.

AutoWise Companion: Empowering Informed Automotive Buyers

HCLTech's AutoWise Companion uses AI to simplify vehicle purchasing decisions for customers and improve data analysis for manufacturers. The solution extracts insights from diverse data sources, providing personalized recommendations and enhancing customer satisfaction.

Rolls-Royce's Bet on Small Modular Reactors

British firm leads push for Small Modular Reactors (SMRs) as faster, cost-effective alternative to large Hinkley Point C plant. SMRs offer quicker, cheaper construction compared to the delayed and expensive Hinkley project.

Timing is Key for Healthy Hearing

MIT researchers at the McGovern Institute for Brain Research have discovered the vital role of precise timing in auditory neurons for recognizing voices and locating sounds. Using machine learning, the team's models provide insights for studying hearing impairment and developing interventions.