NEWS IN BRIEF: AI/ML FRESH UPDATES

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Nuclear Deal: Meta Powers AI for 20 Years

Meta secures first nuclear power deal with Constellation Energy to keep US reactor running for 20 years, following Google and Microsoft's agreements to power datacenters with nuclear energy. Big tech companies are turning to nuclear power as US power demand increases due to AI and datacenter needs.

Honest AI: A Non-Profit Mission

Yoshua Bengio launches LawZero to develop honest AI, preventing rogue systems from deceiving humans in the $1tn AI arms race. Bengio, an AI godfather, aims to create a guardrail against malicious AI agents.

Meta to Introduce AI Ad Creation by 2023

Meta, owner of Facebook and Instagram, will use AI tools to aid advertisers in creating targeted campaigns by end of next year, disrupting traditional marketing industry. The move threatens advertising and media agencies by allowing Meta to directly target brands' marketing budgets.

Revolutionary Magnetic Pen for Parkinson's Diagnosis

AI machine learning analyzes handwriting-generated electrical signals to detect Parkinson's tremors using a 3D-printed magnetic ink pen. Early diagnosis aids in accessing support for the 10 million individuals worldwide living with Parkinson's disease.

Efficient SOP Processing with Amazon Bedrock

SOPs are crucial in FDA-regulated industries, like healthcare and life sciences, to ensure compliance with regulatory standards. Using Amazon Bedrock, organizations can automate the alignment of SOPs with changing regulations, streamlining processes and reducing resources.

PSO-Powered Support Vector Regression in C#

Training linear support vector regression (SVR) poses challenges due to the non-calculus differentiable loss function. Utilizing particle swarm optimization (PSO) proved more effective than evolutionary algorithms for training linear SVR models.

Revolutionizing Concrete with AI

Research team from Olivetti Group and MIT CSHub use AI to find sustainable alternatives to cement in concrete, discovering ceramics and mining byproducts as viable options. Their machine-learning framework sorts through over 1 million rock samples to identify 19 types of materials that can reduce costs and emissions in concrete production.

Uncovering Bias in AI Datasets

Leo Anthony Celi of MIT addresses bias in AI training data, highlighting flaws and proposing solutions for more accurate models. He emphasizes the importance of teaching students to thoroughly evaluate data to prevent biases in AI applications.