Combining Einstein’s theory of relativity with one of the most powerful telescopes in the world has helped an international team of researchers measure where and how dark matter structures grow in the universe. Their analysis suggests cosmic structures might be evolving more slowly than previously predicted.
A.I. is yet to prove the safety of self-driving cars.
“Shortly following the accident, we informed the National Highway Traffic Safety Administration and the National Transportation Safety Board that the vehicle’s logs showed that Autopilot was first engaged by the driver just 10 seconds prior to the accident, and then the driver immediately removed his hands from the wheel,” a Tesla spokesperson told The Register in an emailed statement. “Autopilot had not been used at any other time during that drive. We are deeply saddened by this accident and our thoughts are with everyone affected by this tragedy.”
In the past 24 hours, a story of potentially world-changing import has surfaced. First reported by the MIT Technology Review and then not long after by the Associated Press, who seem to have been sitting on the story for a while, the news that a Chinese scientist named He Jiankui led an unprecedented experiment to edit human embryos and see them carried to term rocked the genetics community. Here’s what you need to know about this evolving story.
The science
Besides He, the most important players in this story may be twin baby girls named Nana and Lulu. As far as we know the twins were edited as embryos using CRISPR-cas9, a gene editing tool. The stated purpose of the edit was to disable CCR5, a gene involved in allowing HIV to invade cells, which is how a virus infects a host.
Deadly Germs, Lost Cures
In its decision to approve two drugs for orange and grapefruit trees, the E.P.A. largely ignored objections from the C.D.C. and the F.D.A., which fear that expanding their use in cash crops could fuel antibiotic resistance in humans.
An orange picker collecting oranges on a grove in Zolfo Springs, Fla. Credit Credit.
To navigate dynamic environments, autonomous vehicles (AVs) should be able to process all information available to them and use it to generate effective driving strategies. Researchers at the University of California, Berkeley, have recently proposed a social perception scheme for planning the behavior of autonomous cars, which could help to develop AVs that are better equipped to deal with uncertainty in their surrounding environment.
“My research has focused on how to design human-like driving behaviors for autonomous cars,” Liting Sun, one of the researchers who carried out the study, told TechXplore. “Our goal is to build AVs that do not only understand human behavior, but also perform in a similar way in multiple aspects, including perception, reasoning and action.”
Sun and her colleagues observed that human drivers tend to treat other vehicles as dynamic obstacles, often inferring additional information from their behavior on the road. This information is generally occluded environment information or physically undetectable social information.
