ScienceDaily: Computers & Math News


New framework applies machine learning to atomistic modeling

Posted: 21 Jul 2021 02:26 PM PDT

A new method could lead to more accurate predictions of how new materials behave at the atomic scale.

New algorithm flies drones faster than human racing pilots can

Posted: 21 Jul 2021 11:20 AM PDT

For the first time an autonomously flying quadrotor has outperformed two human pilots in a drone race. The success is based on a novel algorithm that calculates time-optimal trajectories that fully consider the drones' limitations.

Rounding errors could make certain stopwatches pick wrong race winners, researchers show

Posted: 21 Jul 2021 09:07 AM PDT

Simulated swimming race times show a small number of times recorded on quartzite oscillator-based devices are off by margins large enough to determine winners.

Wearable brain-machine interface turns intentions into actions

Posted: 21 Jul 2021 09:06 AM PDT

An international team of researchers is combining soft scalp electronics and virtual reality in a brain-interface system.

Novel method predicts if COVID-19 clinical trials will fail or succeed

Posted: 21 Jul 2021 07:23 AM PDT

Researchers have modeled COVID-19 completion versus cessation in clinical trials using machine learning algorithms and ensemble learning.

Cancer: Information theory to fight resistance to treatments

Posted: 21 Jul 2021 07:22 AM PDT

A major challenge in cancer therapy is the adaptive response of cancer cells to targeted therapies. Although this adaptive response is theoretically reversible, such a reversal is hampered by numerous molecular mechanisms that allow the cancer cells to adapt to the treatment. A team has used information theory, in order to objectify in vivo the molecular regulations at play in the mechanisms of the adaptive response and their modulation by a therapeutic combination.

Using ultra-low temperatures to understand high-temperature superconductivity

Posted: 21 Jul 2021 07:22 AM PDT

A so-called 'strange metal', well-known for its unusual properties, has been shown to be a superconductor at very low temperatures. This allows scientists to study the connection between 'strange metal'-behavior and superconductivity, which could be an important step towards understanding the phenomenon of high-temperature superconductivity.