How to predict responses to disease
Computer model could help public health officials anticipate overreactions to disease outbreaks.
Computer model could help public health officials anticipate overreactions to disease outbreaks.
Newest computer neural networks can identify visual objects as well as the primate brain.
New scaling law helps estimate humans' risk of blast-induced traumatic brain injury.
Novel software by Akselos drastically increases speed, ease of 3-D engineering simulations.
Algorithm can determine, with 80 percent accuracy, whether video is running forward or backward.
Researchers in EAPS are using small unmanned aircraft systems to better understand environmental phenomena, such as dangerous volcanic plumes.
Project provides a systematic way of exploring the vast realm of unfamiliar materials.
Laboratory crash tests show both vulnerabilities and ways to improve the safety of lithium-ion batteries used in electric and hybrid vehicles.
MIT researchers decipher the molecular basis of bone’s remarkable strength and resiliency; work could lead to new treatments and materials.
Model may be useful in improving the flow of grain in silos, and drug capsules in pharmaceutical manufacturing.
For database-driven applications, new software could reduce hardware requirements by 95 percent while actually improving performance.
Researchers find a common angle and tipping point of branching valley networks.
Discovery of feedback between sea ice and ocean improves Arctic ice extent forecast.
Working from the scale of atoms on up, he designs materials for future energy applications.