General Atomics Aeronautical Systems, Inc. (GA-ASI) has unveiled its latest jet-powered robotic drone, the Gambit, which is designed to use artificial intelligence and autonomous systems to fly alongside human-piloted aircraft and achieve air dominance.
General Atomics is known mainly for its drones like the SkyGuardian or the Mojave – robotic aircraft with very long endurance that can loiter over an area for extended periods for either reconnaissance or while awaiting the signal to take out a ground target with missiles like the Hellfire.
Now, the company has joined competitors like Boeing and Kratos to produce a full-on combat drone with the lines and performance of a fighter jet. According to GA-ASI President David R. Alexander, Gambit is an Autonomous Collaborative Platform (ACP), a flying team-mate that will work with piloted aircraft, penetrating into combat zones to detect, identify, and target adversaries at range and scale before they can become a threat to its human partner. In this way, fewer lives are put at risk and more time is gained for critical decision-making.
BEIJING — The first electric car with Huawei’s HarmonyOS operating system is set to begin deliveries at a ceremony on Saturday in Shanghai, according to an announcement on social media.
In December, Huawei’s consumer business group CEO Richard Yu spent an hour at a winter product launch event promoting the car, the Aito M5. But the Chinese telecommunications company has emphasized it will not make cars on its own, rather working with auto manufacturers on autonomous driving and other technology.
Seres is the automaker behind the Aito M5. The company is also known as SF Motors and is a Silicon Valley-based subsidiary of automaker Sokon, which is based in Chongqing, China, according to the parent company’s website.
Association between low-density lipoprotein cholesterol and cardiovascular mortality in statin nonusers: a prospective cohort study in 14.9 million Korean adults.
Visit https://brilliant.org/Veritasium/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. Digital computers have served us well for decades, but the rise of artificial intelligence demands a totally new kind of computer: analog.
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However, experts have pointed out that these techniques aren’t generalized tools – they will only be the great leap forward in computer power for very specialized algorithms, and even more rarely will they be able to work on the same problem.
One such example of where they might work together is modeling the answer to one of the thorniest problems in physics: How does General Relativity relate to the Standard Model?
“We were really surprised by this result because our motivation was to find an indirect route to improve performance, and we thought trust would be that—with real faces eliciting that more trustworthy feeling,” Nightingale says.
Farid noted that in order to create more controlled experiments, he and Nightingale had worked to make provenance the only substantial difference between the real and fake faces. For every synthetic image, they used a mathematical model to find a similar one, in terms of expression and ethnicity, from databases of real faces. For every synthetic photo of a young Black woman, for example, there was a real counterpart.
