Category: Machine Learning

Artificial intelligence is rapidly transforming the way scientists study and protect the environment, moving the field from traditional observation to predictive, data-driven discovery. New Perspectives articles highlight how emerging AI technologies are fundamentally changing environmental research, opening the door to faster, smarter, and more integrated solutions to global challenges. “Artificial intelligence is no longer just […]

Mary-Late Laibhen ’28 was recently accepted into Break Through Tech’s AI program, where she will learn the skills she needs to pursue her goal of a career in machine learning and cybersecurity. “Through this program, I hope to make meaningful connections and gain experience working on a larger, more diverse team,” says Leiben, a computer […]

Fermilab is leading a collaboration with six other national laboratories to incorporate artificial intelligence into the design, construction, and operation of particle accelerators, a project conducted as part of the Department of Energy’s Genesis mission. These highly complex machines, made up of tens of thousands of interdependent devices, are essential to advances ranging from cancer […]

The rapid advancement of generalist AI models is fueled by the abundance of internet data. However, widespread integration of AI will require models specific to novel, uncommon, and privacy-sensitive applications where data is inherently scarce or inaccessible. Relying on real-world data to fill this gap imposes significant limitations, including: Cost and accessibility: Manually creating specialized […]

BOSTON, April 16, 2026 (Globe Newswire) — Artificial intelligence is transforming hydrogen fuel cell recycling operations, with machine learning algorithms reducing fuel cell inefficiency by 5-10% and predictive maintenance models extending stack life by up to 30%, according to a new analysis from BCC Research. The Impact of AI on the Hydrogen Fuel Cell Recycling […]

Security operations have long been designed around predictable attack behaviors such as vulnerability exploitation, privilege escalation, lateral movement, data theft, and system disruption. Tools like SIEM, EDR, and NDR are optimized to identify these patterns. AI-driven attacks do not operate according to these rules. Rather than targeting software flaws, attackers may modify data. Rather than […]

Resolve AI, an AI for running and operating software in production, announced it has raised $40 million in Series A extension at a $1.5 billion valuation, led by DST Global and Salesforce Ventures. Just 18 months after coming out of stealth, Resolve AI has raised over $190 million and serves enterprise customers including Coinbase, DoorDash, […]

Efforts to incorporate AI agents into legal frameworks through the integration of AI and legal research Norm Ai (Norm) announced the launch of the Legal AGI Lab, a research initiative dedicated to building legal infrastructure to adapt agent systems to democratically determined laws. The Institute conducts research that defines how the law and its application […]

At CadenceLIVE Silicon Valley 2026, Cadence announced an expanded partnership with NVIDIA. This delivers fast solutions across agentic AI, physics-based simulation, and digital twins to enable new levels of productivity and accelerate next-generation engineering design flows across semiconductor design, physical AI systems, and hyperscale AI factories. Cadence and NVIDIA are accelerating Cadence EDA and SDA […]

AI models are changing rapidly. The best model you use for agent coding today might be a completely different model from a different provider three months from now. Additionally, real-world use cases often require invoking multiple models. A customer support agent might use a fast, inexpensive model to classify a user’s messages. Large-scale inference models […]