Research

FBI Doubles Down on AI for Investigations and Operations The Federal Bureau of Investigation (FBI) is significantly expanding its use of artificial intelligence in key areas, including criminal investigations, intelligence analysis, and internal operations. According to the Department of Justice’s (DOJ) latest public inventory, the number of AI use cases reported by the FBI has more than doubled to 50. These AI applications encompass machine learning, computer vision, and generative AI, primarily aimed at labor-saving tasks like translation, transcription, and summarization. The 2025 DOJ AI Use Case Inventory reveals a sharp increase in the FBI’s AI tools for law enforcement, jumping from 15 to 27 in just one year, reflecting a broader 30.7% increase in AI adoption across the entire DOJ. ...

AI Adoption in US Workplaces Surges, Gallup Poll Finds A recent Gallup Workforce survey reveals a significant increase in the adoption of artificial intelligence among American workers. The poll, which surveyed over 22,000 U.S. workers, found that 12% of employed adults now use AI daily in their jobs. Approximately one-quarter of respondents reported using AI frequently (at least a few times a week), while nearly half of the workers surveyed stated they use AI at least a few times a year. This marks a notable rise from 2023, when just 21% of workers reported using AI at least occasionally, highlighting the rapid integration of generative AI tools like ChatGPT into professional environments. ...

Global AI Spending to Reach $2.5 Trillion in 2026, Gartner Predicts According to a new forecast from Gartner, Inc., worldwide spending on artificial intelligence is projected to hit $2.52 trillion in 2026, a significant 44% increase from the previous year. The report identifies the build-out of AI foundations as a primary driver for this growth, with AI-optimized servers accounting for 17% of the total and AI infrastructure expected to contribute an additional $401 billion. ...

MIT Unveils TX-GAIN, The Most Powerful University AI Supercomputer MIT’s Lincoln Laboratory has launched the TX-Generative AI Next (TX-GAIN) computing system, now the most powerful AI supercomputer at any U.S. university. Optimized for generative AI, TX-GAIN is set to drive innovation in critical research areas such as biodefense, materials discovery, and cybersecurity. With a peak performance of two AI exaflops, the supercomputer will support a wide range of research and development projects at Lincoln Laboratory and across the MIT campus. Researchers are already utilizing TX-GAIN to model complex protein interactions for biological defense, demonstrating its significant impact on scientific breakthroughs. The system is housed in an energy-efficient data center in Holyoke, Massachusetts. ...

Cornell’s ME-AI Model Captures Human Intuition for Quantum Materials Discovery Researchers at Cornell University have introduced a novel machine-learning model, Materials Expert-Artificial Intelligence (ME-AI), designed to quantify and encapsulate the intuition of human experts to accelerate the discovery of new quantum materials. The model effectively “bottles” expert knowledge into descriptors that can accurately predict a material’s functional properties. In a proof-of-concept test, ME-AI was trained on expert-curated data to identify a specific desirable characteristic across 879 materials. The model not only reproduced the human expert’s intuition but also expanded upon it, proving its ability to generalize predictions to other compound sets. This research establishes a powerful model for future collaborations between materials scientists and AI experts to push the boundaries of scientific discovery. ...

Equifax Launches AI Innovation Lab in Ireland for Global R&D Equifax has officially opened a new AI Innovation Lab in Wexford, Ireland, on September 11, 2025, establishing a global hub for its artificial intelligence and machine learning research. Supported by the Irish Government through IDA Ireland, the lab will unite data scientists and tech specialists to pioneer advanced AI solutions. The facility’s primary focus is on developing sophisticated AI and machine learning algorithms to improve credit risk assessment, enhance fraud detection, and promote greater financial inclusion. This launch is a key part of Equifax’s overarching EFX.AI strategy, building on its decade of AI innovation. ...

Esaote Unveils AI-Powered Cardiac Ultrasound at ESC 2025 for Enhanced Diagnostics Medical imaging company Esaote is set to introduce significant AI enhancements to its cardiac ultrasound technology at the European Society of Cardiology (ESC) 2025 conference. The system utilizes machine learning algorithms to improve image clarity and diagnostic accuracy. This innovation in AI-driven medical imaging aims to enhance cardiac workflows and enable quicker, more reliable interpretation of results for healthcare professionals. ...