If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...
In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...
In a world where every dollar of operating cost or downtime compounds across hundreds of wells, even a small improvement in ...
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Dr. Karthik Kambhampati: Building the future of secure cloud systems with artificial intelligence
As digital ecosystems expand across industries, so does the threat surface they expose. For Dr. Karthik Kambhampati, a ...
Overview Rapid innovation is reshaping the IT landscape - compelling professionals to learn high‑demand skills in cloud ...
CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...
Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
Tian, Y. (2025) Artificial Intelligence Acceptance of High School English Teachers and Its Influencing Factors —Mixed Research Based on the UNESCO Framework for Teachers’ AI Competence. Open Journal ...
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