As tumor cells multiply, they often spawn tens of thousands of genetic mutations. Figuring out which ones are the most promising to target with immunotherapy is like finding a few needles in a haystack. Now a new model hand-picks those needles so they can be leveraged in more effective, customized cancer vaccines.
Read moreEngineers have developed decision-making and motion-planning technology to limit injuries and damage when self-driving vehicles are involved in unavoidable crashes. After recognizing that a collision of some kind is inevitable, the system works by analyzing all available options and choosing the course of action with the least serious outcome.
Read moreResearchers have developed machine-learning algorithms that teach a computer system to analyze three-dimensional shapes of the branches and leaves of a plant. The study may help scientists better quantify how plants respond to climate change, genetic mutations or other factors.
Read moreResearchers tested ground robots performing military-style exercises, much like Soldier counterparts, at a robotics testing site in Pennsylvania recently as part of a 10-year research project designed to push the research boundaries in robotics and autonomy.
Read moreBioengineer's smart surgical microscope shows promise for more accurately and quickly identifying cancer cells in the operating room.
Read moreResearchers have invented an algorithm that produces a real-time portamento effect, gliding a note at one pitch into a note of another pitch, between any two audio signals, such as a piano note gliding into a human voice.
Read morePhysicists have identified how to distinguish between true and 'fake' Majorana states in one of the most commonly used experimental setups, by means of supercurrent measurements. This theoretical study is a crucial step for advancing the field of topological superconductors and applications of Majorana states for robust quantum computers. New experiments testing this approach are expected next.
Read moreResearchers have developed machine learning algorithms which can successfully identify bullies and aggressors on Twitter with 90 percent accuracy.
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