NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI Stylist: Your New Fashion Guru

AI chose avant-garde outfit for writer, sparking panic and incredulity at son's birthday party. Overwhelmed by choice, writer's personal style suffers post-baby, leading to decision fatigue.

The Green Side of Generative AI

Generative AI's rapid growth poses environmental challenges due to its high energy consumption and water usage. MIT experts are working to reduce genAI's carbon footprint and other impacts.

Mastering ML Responsibly with Sebastian Raschka

Sebastian Raschka, a pioneer in AI education, shares 13 key lessons for mastering machine learning: start simple, embrace change, and leverage large language models responsibly. His advice emphasizes patience, intuition, and staying focused to build a solid foundation in this rapidly evolving field.

Efficient Neighborhood Regression with C#

Algorithm idea of random neighborhood regression creates an ensemble of k-nearest neighbor regressors to address overfitting and trial-and-error issues in basic k-nearest neighbors regression. A successful demo using C# showcased improved accuracy in prediction with virtual collections of regressors.

The Employees: Monumental Event Theatre

In London's Queen Elizabeth Hall, 'The Employees' explores human existence in a sci-fi dystopia on an orbiting spaceship. Based on Olga Ravn's novel, the immersive experience challenges traditional theatre norms with audience interaction and a mysterious bureaucratic power.

Small Nuclear Reactors: A Solution for Extreme Weather?

Scientists stress need to cut CO2 emissions amid increasing severity of natural disasters. AI systems' energy demand set to soar, prompting interest in green solution of small modular nuclear reactors (SMRs) ordered by Google, Amazon, Microsoft, and Meta.

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.

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.