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Category: robotics/AI – Page 2,347

AI-based method could speed development of specialized nanoparticles

A new technique developed by MIT physicists could someday provide a way to custom-design multilayered nanoparticles with desired properties, potentially for use in displays, cloaking systems, or biomedical devices. It may also help physicists tackle a variety of thorny research problems, in ways that could in some cases be orders of magnitude faster than existing methods.

The innovation uses computational neural networks, a form of artificial intelligence, to “learn” how a nanoparticle’s structure affects its behavior, in this case the way it scatters different colors of light, based on thousands of training examples. Then, having learned the relationship, the program can essentially be run backward to design a particle with a desired set of light-scattering properties—a process called inverse design.

The findings are being reported in the journal Science Advances, in a paper by MIT senior John Peurifoy, research affiliate Yichen Shen, graduate student Li Jing, professor of physics Marin Soljacic, and five others.

General AI, the “holy grail” of AI, demonstrated for the first time

Recently we saw a new “Master algorithm” that could be used to create the first generation of super intelligent machines, and now a team of researchers from Maryland, USA, announced this week that they’ve invented a general Artificial Intelligence (AI) way for machines to identify and process 3D images that doesn’t require humans to go through the tedium of inputting specific information that accounts for each and every instance, scenario, difference, change and category that could crop up, and they claim it’s a world first, even though it follows on from a not too dissimilar breakthrough from Google DeepMind whose own platform, Alpha Zero, recently taught itself a mix of board games including chess to a grand master level, in just four hours.

Volkswagen tests quantum computing in battery research

For the first time, Volkswagen experts have succeeded in simulating industrially relevant molecules using a quantum computer. This is especially important for the development of high-performance electric vehicle batteries. The experts have successfully simulated molecules such as lithium-hydrogen and carbon chains. Now they are working on more complex chemical compounds. In the long term, they want to simulate the chemical structure of a complete electric vehicle battery on a quantum computer. Their objective is to develop a “tailor-made battery”, a configurable chemical blueprint that is ready for production. Volkswagen is presenting its research work connected with quantum computing at the CEBIT technology show (Hanover, June 12–15).

Martin Hofmann, CIO of the Volkswagen Group, says: “We are focusing on the modernization of IT systems throughout the Group. The objective is to intensify the digitalization of work processes – to make them simpler, more secure and more efficient and to support new business models. This is why we are combining our core task with the introduction of specific key technologies for Volkswagen. These include the Internet of Things and artificial intelligence, as well as quantum computing.”

The objective is a “tailor-made battery”, a configurable blueprint Using newly developed algorithms, the Volkswagen experts have laid the foundation for simulating and optimizing the chemical structure of high-performance electric vehicle batteries on a quantum computer. In the long term, such a quantum algorithm could simulate the chemical composition of a battery on the basis of different criteria such as weight reduction, maximum power density or cell assembly and provide a design which could be used directly for production. This would significantly accelerate the battery development process, which has been time-consuming and resource-intensive to date.

Can Machines Design? An Artificial General Intelligence Approach

Abstract: Can machines design? Can they come up with creative solutions to problems and build tools and artifacts across a wide range of domains? Recent advances in the field of computational creativity and formal Artificial General Intelligence (AGI) provide frameworks for machines with the general ability to design. In this paper we propose to integrate a formal computational creativity framework into the G” odel machine framework. We call this machine a design G” odel machine. Such a machine could solve a variety of design problems by generating novel concepts. In addition, it could change the way these concepts are generated by modifying itself. The design G” odel machine is able to improve its initial design program, once it has proven that a modification would increase its return on the utility function. Finally, we sketch out a specific version of the design G” odel machine which specifically aims at the design of complex software and hardware systems. Future work could be the development of a more formal version of the Design G” odel machine and a potential implementation.

VL-døgnet 2018

Here’s my speech and panel participation from yesterday at the Annual Danish Top Executive Annual Summit via VL-dognet 2018: It was covered by Danish Jyskebank TV. My panel included a minister, an ambassador, a country company head, a television host, and Sophia the Robot. I had a great time at the wonderful event (hosted at a castle), and the Danish people are very nice. The Vice President of the EU spoke a few sessions before me. My solo speech that started my afternoon session was on the future of politics and transhumanism. It’s the first 10 minutes of the video:

Now Anyone Can Hunt For Exoplanets

To find new exoplanets, just turn to Google.

Last year, an artificial intelligence (AI) network, equipped with data from the Kepler space telescope, discovered two new exoplanets. Now, citizen scientists looking to support discovery at home can use the exoplanet-hunting neural network — Google plans to make it open source, a Google engineer announced recently in a blog post.

Exoplanets are difficult to find and harder to directly observe – most of the time scientists only know these celestial bodies exist when they block some light from their closest star. To help scientists learn more about exoplanets, including those in the “Goldilocks Zone” (the “just right” zone in which planets are most likely to host life), NASA launched the Kepler spacecraft in 2009. Its mission: make observations that might lead to the discovery of exoplanets.

AMD just unveiled the world’s most exciting GPU, but you’re not going to be playing ‘Fortnite’ on it

AMD at Computex 2018 unveiled what may turn out to be one of the most exciting GPU designs in town, the world’s first 7nm GPU, which packs as much as 32GB of high-bandwidth memory.

However, that product won’t really be available for purchase anytime soon, unless you’re in the business of developing machine learning (ML) and artificial intelligence (AI) products.

Don’t Miss : Amazon’s offering a rare discount on the adapter that speeds up your Fire TV Stick or 4K Fire TV.

Ultrasound-powered nanorobots clear bacteria and toxins from blood

MRSA bacterium captured by a hybrid cell membrane-coated nanorobot (colored scanning electron microscope image and black and white image below) (credit: Esteban-Fernández de Ávila/Science Robotics)

Engineers at the University of California San Diego have developed tiny ultrasound-powered nanorobots that can swim through blood, removing harmful bacteria and the toxins they produce.

These proof-of-concept nanorobots could one day offer a safe and efficient way to detoxify and decontaminate biological threat agents — providing an fast alternative to the multiple, broad-spectrum antibiotics currently used to treat life-threatening pathogens like MRSA bacteria (an antibiotic-resistant staph strain). MRSA is considered a serious worldwide threat to public health.

Robots Will Be Able to Feel Touch With This Artificial Nerve

When the disembodied cockroach leg twitched, Yeongin Kim knew he had finally made it.

A graduate student at Stanford, Kim had been working with an international team of neuroengineers on a crazy project: an artificial nerve that acts like the real thing. Like sensory neurons embedded in our skin, the device—which kind of looks like a bendy Band-Aid—detects touch, processes the information, and sends it off to other nerves.

Yup, even if that downstream nerve is inside a cockroach leg.

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