SparseST: Exploiting Data Sparsity in Spatiotemporal Modeling and Prediction

US President Donald Trump stated that investment in artificial intelligence (AI) is significantly benefiting the economy. However, he expressed concerns that overregulation could hinder the US's competitive edge against China in the AI sector.

Researchers at Georgia Tech are utilizing artificial intelligence to expedite the training of exoskeleton devices. This advancement aims to enhance the development and deployment of wearable robots designed for individuals with mobility impairments.

Google Maps is set to utilize artificial intelligence (AI) to predict the availability of electric vehicle (EV) chargers upon arrival. This new feature aims to enhance the user experience for EV drivers by providing real-time information on charging station status, thereby facilitating more efficient trip planning.

A judge expressed horror when lawyers presented evidence in court that had been fabricated using artificial intelligence. This incident raises significant concerns about the integrity of legal proceedings and the potential misuse of AI technology in the judicial system.

European policymakers are seeking to relax artificial intelligence (AI) and privacy laws, indicating a shift towards a more business-friendly regulatory environment. This move may have significant implications for how companies operate within the EU, particularly regarding data protection and AI deployment.

Russian hackers are increasingly utilizing artificial intelligence to enhance their ransomware negotiations. This trend indicates a shift towards more sophisticated cybercrime tactics, as these hackers leverage AI to manipulate and pressure victims during ransom discussions.

Manufacturing is undergoing a significant transformation as artificial intelligence (AI) enhances existing technologies such as digital twins, cloud computing, edge computing, and the industrial internet of things (IIoT). This shift allows factory operations teams to move from reactive problem-solving to proactive optimization across systems, improving efficiency and productivity.

The global investment frenzy surrounding artificial intelligence (AI) has led to companies being valued at trillions of dollars, with optimistic projections about its potential to enhance economic productivity. However, there are growing concerns about the sustainability of this boom as market fluctuations raise questions about the future of AI investments.