Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...
Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
The January 30 registration deadline for fourth-year medical students to complete paperwork and begin ranking their residency preferences is nearing.
From computers to smartphones, from smart appliances to the internet itself, the technology we use every day only exists ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
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 ...
Robots have evolved beyond repetitive tasks to incorporate AI, machine learning, and sensor fusion technologies that enable ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...