Summary: A new technology that measures the movement of facial muscles is 73% accurate at detecting when a person is telling a lie.
Source: Tel Aviv University.
Researchers at Tel Aviv University detected 73% of the lies told by trial participants based on the contraction of their facial muscles – achieving a higher rate of detection than any known method.
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Einstein’s special theory of relativity combines space and time into one dynamic, unified entity — spacetime. But if time is connected to space, could the universe be anything but deterministic? And does that mean that the future is predestined?
The single-cell transcriptional profile of a human embryo between 16 and 19 days after fertilization reveals parallels and differences in gastrulation in humans as compared with mouse and non-human primate models.
The first prize money has been awarded in the largest XPrize competition ever held, with 23 student.
“Davemaoite” forms under the high-pressure conditions of deep Earth.
Local providers are putting down 400 km of fiber connection around the river, but Project Taara used WOC to beam high-speed connectivity over it instead.
A bold claim, I know. It won’t surprise you to find out that I want to stick some qualifiers on it. For the purposes of this article, “futurists” means educated industry analysts and hard science fiction authors with a comprehensive knowledge of physics.
More than 100 years ago, a lake outside what is now the Abbotsford, B.C., area was drained to create lucrative farmland. Many say that decision is a big contributor to the devastating flooding.
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Image: FimerSpa
The new PVS-350 string inverter from the Italian manufacturer Fimer offers an efficiency of more than 99 per cent. It is optimised for decentralised topologies in solar fields and has an output of 350 kilowatts.
The concept is in its early stages, but it could offer a promising solution to remote communities without access to electricity.
By Watching Unlabeled Videos.
Recent advances in machine learning (ML) and artificial intelligence (AI) are increasingly being adopted by people worldwide to make decisions in their daily lives. Many studies are now focusing on developing ML agents that can make acceptable predictions about the future over various timescales. This would help them anticipate changes in the world around them, including the actions of other agents, and plan their next steps. Making judgments require accurate future prediction necessitates both collecting important environmental transitions and responding to how changes develop over time.
Previous work in visual observation-based future prediction has been limited by the output format or a manually defined set of human activities. These are either overly detailed and difficult to forecast, or they are missing crucial information about the richness of the real world. Predicting “someone jumping” does not account for why they are jumping, what they are jumping onto, and so on. Previous models were also meant to make predictions at a fixed offset into the future, which is a limiting assumption because we rarely know when relevant future states would occur.
