In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...

Sesha Sai Sravanthi Valiveti is a software engineering professional with 8+ years of experience delivering enterprise-scale digital solutions, specializing in application modernization, DevOps-driven ...

AI-driven midstream reliability is transforming gas compression by improving uptime, boosting throughput, and reducing ...

Mission-aware software fuses physics-based digital twins and real-time data to anticipate risk and deliver mission success ...

Charles River Analytics is developing advanced predictive maintenance and logistics technologies for the United States Navy’s ...

The state of California noted this month that the adoption of chip-and-tap technology, predictive modeling tools, and ...

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots to scalable, physics-based intelligence across ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

College promise programs that aim to make higher education more affordable — and in many cases free entirely — for students have expanded across Texas in recent years. These programs, typically funded ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

The CMS Innovation Center has debuted a new model to encourage the use of technology to treat chronic diseases, which could be a boon for health tech companies that have struggled with reimbursement.