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Category: robotics/AI – Page 1,703

Sorry AI — The Brain Is Still The Best Inference Machine Out There

Despite the continued progress that the state of the art in machine learning and artificial intelligence (AI) has been able to achieve, one thing that still sets the human brain apart — and those of some other animals — is its ability to connect the dots and infer information that supports problem-solving in situations that are inherently uncertain. It does this remarkably well despite sparse, incomplete, and almost always less than perfect data. In contrast, machines have a very difficult time inferring new insights and generalizing beyond what they have been explicitly trained on or exposed to.

How the brain evolved to achieve these abilities and what are the underlying ‘algorithms’ that enable them to remain poorly understood. The development and investigation of mathematical models will lead to a deep understanding of what the brain is doing and how are not mature and remain a very active area of research.

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NASA Searching for Free-Floating Planets With Artificial Intelligence and Gravitational Microlensing

Exoplanet hunters have found thousands of planets, most orbiting close to their host stars, but relatively few alien worlds have been detected that float freely through the galaxy as so-called rogue planets, not bound to any star. Many astronomers believe that these planets are more common than we know, but that our planet-finding techniques haven’t been up to the task of locating them.

Most exoplanets discovered to date were found because they produce slight dips in the observed light of their host stars as they pass across the star’s disk from our viewpoint. These events are called transits.

NASA.

WATCH LIVE: Blue Origin Launch William Shatner into Space on Jeff Bezos New Shepard Rocket

Blue Origin is set to launch William Shatner on their second crewed spaceflight of its New Shepard rocket. Takeoff is currently scheduled on Wednesday, October 13 at 9:00 am CDT / 14:00 UTC from Corn Ranch, Texas.

New Shepard is designed to take people and payloads to suborbital space and back. It is expected to start sending space tourists this year. Ticket reservations are still on hold.

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Chinese AI Research and Business is Booming, but America is Still King

There is no doubt that artificial intelligence (AI) is on the cusp of achieving significant disruption across several sectors in the world — one can simply look to companies like American company Alfi (NASDAQ: ALF) which is attempting to revolutionize the ad-tech industry with privacy-conscious AI —. It is becoming a key driver of productivity and gross domestic product growth for many nations and is pushing the boundaries of technology as we know it.

According to a report, the United States leads the AI pack today, with China in a close 2nd and the European Union in 3rd. Out of 100 total available points in the report’s scoring methodology, the United States leads with 44.2 points, China with 32.3, and the European Union with 23.5.

Although it may seem like the U.S. has an unassailable lead, the fact is that China is rapidly catching up and stands today as a full-spectrum peer competitor of the U.S. in many applications of AI.

China’s closing the AI gap with U.S.

China’s national share of smart-computing power is 52%, compared to 19% in the U.S.

Recently, the China Academy of Information and Communications Technology (CAICT) released a white paper on the country’s computing power. According to the paper, which was translated by ChinAI, the country’s computing power reached 135 exaFlops (EFlops), an increase of 48 EFlops from last year. One EFlop is equivalent to the computing power of roughly two million laptops.

So, what’s the point in all this computing speed? China is accelerating its computing power for a faster AI adoption. It is evident in the way it prioritizes its resources for next-generation computing. Beijing divides its AI needs into basic-, smart-, and super-computing. Between 2016 and 2,020 the country dropped its basic-computing share to 57% from 95% and increased smart-computing to 41% from 3%.

And according to the paper, China’s national share of smart-computing power is 52%, compared to 19% in the U.S. While the statistics need to be taken with a pinch of salt, it sure does reveal something about the direction in which China is moving.

Autonomous drones can now zip through the woods at insane speeds

Thanks to artificial intelligence, drones can now fly autonomously at remarkably high speeds, while navigating unpredictable, complex obstacles using only their onboard sensing and computation.

This feat was achieved by getting the drone’s neural network to learn flying by watching a sort of “simulated expert” – an algorithm that flew a computer-generated drone through a simulated environment full of complex obstacles. Now, this “expert” could not be used outside of simulation, but its data was used to teach the neural network how to predict the best trajectory, based only on the data from the sensors.

No-code AI analytics may soon automate data science jobs

SparkBeyond, a company that helps analysts use AI to generate new answers to business problems without requiring any code, today has released its product SparkBeyond Discovery.

The company aims to automate the job of a data scientist. Typically, a data scientist looking to solve a problem may be able to generate and test 10 or more hypotheses a day. With SparkBeyond’s machine, millions of hypotheses can be generated per minute from the data it leverages from the open web and a client’s internal data, the company says. Additionally, SparkBeyond explains its findings in natural language, so a no-code analyst can easily understand it.

The product is the culmination of work that started in 2013 when the company had the idea to build a machine to access the web and GitHub to find code and other building blocks to formulate new ideas for finding solutions to problems. To use SparkBeyond Discovery, all a client company needs to do is specify its domain and what exactly it wants to optimize.