Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations ...
Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...
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.
Chau, Srinivas, and Yang were among the 70 invited participants in the intensive two-day workshop on navigating early careers ...
AI and computer science education should be a requirement for all K-12 students, providing them with the knowledge and agency ...
In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...
When it comes to developing faster and smaller chips to power next-generation electronic devices, Silicon is seen as the leading option. This abundant, cheap semiconductor provides acceptable carrier ...
Abstract: This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously ...
Abstract: With the rise of e-commerce, personalized recommendation algorithms have received much attention in recent years. Meanwhile, multimodal recommendation algorithms have become the next ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback