Morning Overview on MSN
What does the entire universe actually look like through AI’s eyes?
The latest generation of astronomy algorithms is not just cataloguing stars and galaxies, it is learning the hidden rules ...
Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...
Morning Overview on MSN
Quantum walks explained, and why they could change everything
Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve ...
Abstract: In the path planning of dual-arm robots, the traditional Probabilistic Roadmap (PRM) algorithm often suffers from sampling failures in cluttered obstacle regions and redundant sampling in ...
Abstract: The rapid growth of "big data" has made it more challenging to quickly manage and analyze enormous datasets in environments with distributed computing. To address this problem, the article ...
A motion control strategy based on multi-source heterogeneous motion information fusion and motion decoupling parallel washout algorithm (WA) is proposed for the control of a rehabilitation robot ...
Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...
Live Science on MSN
Tapping into new 'probabilistic computing' paradigm can make AI chips use much less power, scientists say
A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...
Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...
Japan's government budget for fiscal 2026 is expected to exceed 120 trillion yen, surpassing the current record of 115.2 ...
In silico antibody accessibility analysis indicates that ectodomain epitopes are transiently exposed, while MPER epitopes are virtually always occluded in the pre-fusion trimer.
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results