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Archive for the ‘information science’ category: Page 12

Jul 18, 2020

How Artificial Intelligence Is Changing Science

Posted by in categories: chemistry, information science, quantum physics, robotics/AI, science, space

The latest AI algorithms are probing the evolution of galaxies, calculating quantum wave functions, discovering new chemical compounds and more. Is there anything that scientists do that can’t be automated?

Jul 18, 2020

AutoML-Zero: Evolving Code that Learns

Posted by in categories: habitats, information science, mathematics, robotics/AI

The snake bites its tail

Google AI can independently discover AI methods.

Then optimizes them

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Jul 17, 2020

New learning algorithm should significantly expand the possible applications of AI

Posted by in categories: information science, robotics/AI, supercomputing

The high energy consumption of artificial neural networks’ learning activities is one of the biggest hurdles for the broad use of Artificial Intelligence (AI), especially in mobile applications. One approach to solving this problem can be gleaned from knowledge about the human brain.

Although it has the computing power of a supercomputer, it only needs 20 watts, which is only a millionth of the of a supercomputer.

One of the reasons for this is the efficient transfer of information between in the brain. Neurons send short electrical impulses (spikes) to other neurons—but, to save energy, only as often as absolutely necessary.

Jul 16, 2020

OpenAI’s fiction-spewing AI is learning to generate images

Posted by in categories: information science, robotics/AI

In February of last year, the San Francisco–based research lab OpenAI announced that its AI system could now write convincing passages of English. Feed the beginning of a sentence or paragraph into GPT-2, as it was called, and it could continue the thought for as long as an essay with almost human-like coherence.

Now, the lab is exploring what would happen if the same algorithm were instead fed part of an image. The results, which were given an honorable mention for best paper at this week’s International Conference on Machine Learning, open up a new avenue for image generation, ripe with opportunity and consequences.

Jul 16, 2020

The ‘Android Of Self-Driving Cars’ Built A 100,000X Cheaper Way To Train AI For Multiple Trillion-Dollar Markets

Posted by in categories: information science, mobile phones, robotics/AI, transportation

How do you beat Tesla, Google, Uber and the entire multi-trillion dollar automotive industry with massive brands like Toyota, General Motors, and Volkswagen to a full self-driving car? Just maybe, by finding a way to train your AI systems that is 100,000 times cheaper.

It’s called Deep Teaching.

Perhaps not surprisingly, it works by taking human effort out of the equation.

Continue reading “The ‘Android Of Self-Driving Cars’ Built A 100,000X Cheaper Way To Train AI For Multiple Trillion-Dollar Markets” »

Jul 15, 2020

Deep Dive Into Big Pharma AI Productivity: One Study Shaking The Pharmaceutical Industry

Posted by in categories: biotech/medical, business, chemistry, health, information science, robotics/AI

No industry will be spared.


The pharmaceutical business is perhaps the only industry on the planet, where to get the product from idea to market the company needs to spend about a decade, several billion dollars, and there is about 90% chance of failure. It is very different from the IT business, where only the paranoid survive but a business where executives need to plan decades ahead and execute. So when the revolution in artificial intelligence fueled by credible advances in deep learning hit in 2013–2014, the pharmaceutical industry executives got interested but did not immediately jump on the bandwagon. Many pharmaceutical companies started investing heavily in internal data science R&D but without a coordinated strategy it looked more like re-branding exercise with the many heads of data science, digital, and AI in one organization and often in one department. And while some of the pharmaceutical companies invested in AI startups no sizable acquisitions were made to date. Most discussions with AI startups started with “show me a clinical asset in Phase III where you identified a target and generated a molecule using AI?” or “how are you different from a myriad of other AI startups?” often coming from the newly-minted heads of data science strategy who, in theory, need to know the market.

However, some of the pharmaceutical companies managed to demonstrate very impressive results in the individual segments of drug discovery and development. For example, around 2018 AstraZeneca started publishing in generative chemistry and by 2019 published several impressive papers that were noticed by the community. Several other pharmaceutical companies demonstrated impressive internal modules and Eli Lilly built an impressive AI-powered robotics lab in cooperation with a startup.

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Jul 14, 2020

This Robotic Chemist Does Over 600 Experiments a Week and Learns From Its Own Work

Posted by in categories: chemistry, information science, robotics/AI

The 400 kilogram wheeled system moves about the lab guided by LIDAR laser scanners and has an industrial robotic arm made by German firm Kuka that it uses to carry out tasks like weighing out solids, dispensing liquids, removing air from the vessel, and interacting with other pieces of equipment.

In a paper in Nature, the team describes how they put the device to work trying to find catalysts that speed up reactions that use light to split water into hydrogen and oxygen. To do this, the robot used a search algorithm to decide how to combine a variety of different chemicals and updated its plans based on the results of previous experiments.

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Jul 14, 2020

Plants Can Secretly Send Underground Electrical Signals. Here’s How They Do It

Posted by in categories: information science, mathematics

A new study offers a better understanding of the hidden network of underground electrical signals being transmitted from plant to plant – a network that has previously been shown to use the Mycorrhizal fungi in soil as a sort of electrical circuit.

Through a combination of physical experiments and mathematical models based on differential equations, researchers explored how this electrical signalling works, though it’s not clear yet exactly what messages plants might want to transmit to each other.

The work builds on previous experiments by the same team looking at how this subterranean messaging service functions, using electrical stimulation as a way of testing how signals are carried even when plants aren’t in the same soil.

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Jul 13, 2020

US Air Force gears up for first flight test of Golden Horde munition swarms

Posted by in categories: information science, military

That in turn enables a massive software upgrade known as the “autonomy module,” a playbook of algorithms that tell the weapon how to respond to specific changes on the battlefield, whether that means the sighting of a new threat or the destruction of some of the collaborative weapons.

Jul 13, 2020

New Algorithm Coordinates Complex Behaviors Between Hundreds of Robots in a Fraction of the Time

Posted by in categories: habitats, information science, robotics/AI

A new approach to designing motion plans for multiple robots grows “trees” in the search space to solve complex problems in a fraction of the time.

In one of the more memorable scenes from the 2002 blockbuster film Minority Report, Tom Cruise is forced to hide from a swarm of spider-like robots scouring a towering apartment complex. While most viewers are likely transfixed by the small, agile bloodhound replacements, a computer engineer might marvel instead at their elegant control system.

Continue reading “New Algorithm Coordinates Complex Behaviors Between Hundreds of Robots in a Fraction of the Time” »

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