Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...

The Northwestern CS Theory Group and Toyota Technological Institute at Chicago co-hosted the Junior Theorists Workshop held ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

ACM Fellows are selected by their peers for achieving remarkable results through their technical innovations and/or service to the field.

"Welcome to the world of RDHNet, a groundbreaking approach to multi-agent reinforcement learning (MARL) introduced by Dongzi Wang and colleagues from the College of Computer Science at the National ...

SHANGHAI, SHANGHAI, CHINA, January 20, 2026 /EINPresswire.com/ -- The global healthcare sector is witnessing a paradigm ...

Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...

In our latest episode of Lexicon, we sat down with Vikhyat (“Vik”) Chaudhry, co-founder ...

Librarians teach students about research, media literacy, copyright and technology. This makes them perfect for teaching ...

The future of work will demand fluency in both science and technology. From addressing climate change to designing ethical AI systems, tomorrow’s challenges will require interdisciplinary thinkers who ...