NEWS IN BRIEF: AI/ML FRESH UPDATES

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Unlocking the Secrets of Time Series for LLMs

Foundation models, like Large Language Models (LLMs), are being adapted for time series modeling through Large Time Series Foundation Models (LTSM). By leveraging sequential data similarities, LTSM aims to learn from diverse time series data for tasks like outlier detection and classification, building on the success of LLMs in computational linguistic domains.

Intuit's AI Shuffle: Layoffs and Hiring Blitz

Intuit CEO announces 10% layoffs, plans to hire same number for AI-focused restructuring, predicting industry transformation. Company prioritizes AI innovation to support customers and drive growth, expecting overall headcount growth by 2025.

MIT ARCLab Awards AI Innovation in Space

Satellite density in Earth's orbit is rising, with 2,877 satellites launched in 2023, leading to new global-scale technologies. MIT ARCLab Prize for AI Innovation in Space winners announced, focusing on characterizing satellites' behavior patterns with AI.

Revolutionizing Pregnancy Scans in Africa with AI

AI-powered ultrasound technology in Uganda eliminates need for specialists, encourages early prenatal care, reducing stillbirths and complications. The software aims to make essential medical checkups accessible to pregnant women in need, revolutionizing prenatal care.

Japan's AI Sovereignty Boosted by ABCI 3.0 Supercomputer

Japan's AIST upgrades ABCI 3.0 supercomputer with NVIDIA GPUs and HPE networking for advanced AI R&D, bolstering Japan's AI capabilities and technological independence. NVIDIA collaborates with Japan's METI on AI research and education, with CEO Jensen Huang pledging support for generative AI, robotics, and quantum computing to drive Japan's future innovation.

AI Trustworthiness: A Guide

MIT researchers introduce new approach to improve uncertainty estimates in machine-learning models, providing more accurate and efficient results. The scalable technique, IF-COMP, helps users determine when to trust model predictions, especially in high-stakes scenarios like healthcare.

Unveiling the Limits of Large Language Models

MIT CSAIL researchers found that large language models like GPT-4 struggle with unfamiliar tasks, revealing limited generalization abilities. The study highlights the importance of enhancing AI models' adaptability for broader applications.

Controversy over 'Miss AI' beauty standards

Fanvue's "Miss AI" pageant crowns fictional Instagram influencer Kenza Layli, sparking criticism for objectifying women in AI. Rise of AI-generated influencers fueled by tools like Stable Diffusion and Dreambooth raises ethical concerns.