Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...

"Corporate philanthropy has acted as a force multiplier to build ecosystems. They have invested in strengthening ...

Physicists have devised a new model to account for the discomfort that airline passengers know all too well.

Peter Routledge (pictured), superintendent of financial institutions at OSFI, emphasized that while climate change is ...

Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large ...

Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

A new study shows that fine-tuning ChatGPT on even small amounts of bad data can make it unsafe, unreliable, and veer it wildly off-topic. Just 10% of wrong answers in training data begins to break ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Analog computers, computing systems that represent data as continuous physical quantities, such as voltage, frequency or ...

Quantum Computing's stated vision is to put quantum technology in the hands of a billion people. Don't expect that to happen ...

Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...