Aardvark Weather, a groundbreaking AI approach, promises to overhaul weather forecasting by drastically reducing computational demands and speeding up predictions. Researchers from the University of Cambridge, the Alan Turing Institute, and others have developed a system requiring thousands of times less computing power than conventional methods. This AI-driven model, published in Nature, processes raw global data from various sources to deliver more detailed and quicker forecasts. Richard Turner of the University of Cambridge highlights its potential to offer tailored predictions for specific industries, while Dr. Scott Hosking emphasizes its role in democratizing access for developing nations. Furthermore, Dr. Anna Allen suggests this innovation could enhance forecasting natural disasters.

A national survey by Jobs for the Future (JFF) highlights a sharp increase in AI usage at work, yet training lags behind. Over one-third of U.S. workers now use AI, a significant jump from 2023’s 8%. Despite this, only 31% receive employer-provided AI training, with many resorting to self-directed learning. The survey also finds that 59% of learners utilize AI weekly. This discrepancy reveals an urgent need for enhanced training to bridge the gap. Crucially, diverse and underrepresented groups feel the impact more acutely, influencing their career plans. These findings stress the importance of accessible AI education and resources.

A recent report from FTI Consulting and Relativity reveals a striking shift in the legal industry, with 44% of legal departments now utilizing generative AI, a significant rise from previous years. Insights from interviews and surveys highlight that 65% of legal departments intend to invest in new technology, with a focus on generative AI. The report uncovers that while enthusiasm for AI grows, 85% of general counsel feel unprepared for its risks. Interestingly, Latin American legal teams show the highest comfort with AI in e-discovery at 86%. Concerns about AI’s viability, reliability, and cost still persist.

Amazon has introduced a new AI-powered feature called ‘Interests’ that aims to revolutionize personalized shopping. The article, published on Amazon’s website, explains how this feature allows customers to create customized shopping prompts using natural language. The AI then continuously scans Amazon’s inventory to find matching products, notifying users about new items, restocks, and deals. Currently available to a limited number of US customers, ‘Interests’ utilizes large language models to translate user prompts into relevant product recommendations

Adobe has released new data revealing significant traffic gains for retailers through AI search. The data showcases a 1,300% surge in referrals during the 2024 holiday season. Consumers referred by AI search engage more deeply with websites, indicating more relevant content delivery compared to traditional search methods. AI search tools continue to attract users, suggesting a shift away from traditional links-driven searching.