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In June 2019, Facebook’s AI lab, FAIR, released AI Habitat, a new simulation platform for training AI agents. It allowed agents to explore various realistic virtual environments, like a furnished apartment or cubicle-filled office. The AI could then be ported into a robot, which would gain the smarts to navigate through the real world without crashing.

In the year since, FAIR has rapidly pushed the boundaries of its work on “embodied AI.” In a blog post today, the lab has announced three additional milestones reached: two new algorithms that allow an agent to quickly create and remember a map of the spaces it navigates, and the addition of sound on the platform to train the agents to hear.

Tesla (NASDAQ: TSLA) has reached the $2,000 a share price point, but one investor says that its value could be looked at as “fairly low priced” in a year or two.

It’s hard to imagine that $2,000 for a share of an automaker’s stock could look like a bargain in the current economic climate. However, the CEO of AdvisorShares, Noah Hamman, thinks that TSLA’s price now could very well be looked at as a steal in a year or two.

“It’s possible a year or two from now we think that $2,000 a share was still fairly low priced, but who knows,” Hamman said to The First Trade, which is Yahoo Finance’s opening bell show.

An international team of researchers have discovered a dense, cold gas that’s been shot out from the center of the Milky Way “like bullets”.

Exactly how the gas has been ejected is still a mystery, but the research team, including Professor Naomi McClure-Griffiths from The Australian National University (ANU), say their findings could have important implications for the future of our galaxy.

“Galaxies can be really good at shooting themselves in the foot,” Professor McClure-Griffiths said.

Researchers have fashioned ultrathin silicon nanoantennas that trap and redirect light, for applications in quantum computing, LIDAR and even the detection of viruses.

Light is notoriously fast. Its speed is crucial for rapid information exchange, but as light zips through materials, its chances of interacting and exciting atoms and molecules can become very small. If scientists can put the brakes on light particles, or photons, it would open the door to a host of new technology applications.

Now, in a paper published on August 17, 2020, in Nature Nanotechnology, Stanford scientists demonstrate a new approach to slow light significantly, much like an echo chamber holds onto sound, and to direct it at will. Researchers in the lab of Jennifer Dionne, associate professor of materials science and engineering at Stanford, structured ultrathin silicon chips into nanoscale bars to resonantly trap light and then release or redirect it later. These “high-quality-factor” or “high-Q” resonators could lead to novel ways of manipulating and using light, including new applications for quantum computing, virtual reality and augmented reality; light-based WiFi; and even the detection of viruses like SARS-CoV-2.