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Category: robotics/AI – Page 1,567

Quantum physics exponentially improves some types of machine learning

Machine learning can get a boost from quantum physics.

On certain types of machine learning tasks, quantum computers have an exponential advantage over standard computation, scientists report in the June 10 Science. The researchers proved that, according to quantum math, the advantage applies when using machine learning to understand quantum systems. And the team showed that the advantage holds up in real-world tests.

“People are very excited about the potential of using quantum technology to improve our learning ability,” says theoretical physicist and computer scientist Hsin-Yuan Huang of Caltech. But it wasn’t entirely clear if machine learning could benefit from quantum physics in practice.

Scientists cover robotic finger with living skin made from human cells

We’ve been hearing a lot about synthetic skins designed for robotic hands, which would give the devices more human-like qualities. Well, scientists in Japan have gone a step further, by covering a robotic finger in a self-healing skin made from live human cells.

Led by Prof. Shoji Takeuchi, a team at the University of Tokyo started by building an articulated motor-driven robotic finger, capable of bending and straightening like its human counterpart. That finger was then submerged in a cylinder filled with a solution made up of collagen and human dermal fibroblast cells – these are the main components of our skin’s connective tissues.

Due to its natural properties, that solution shrank and conformed to the contours of the finger, forming a seamless hydrogel coating. Next, the scientists added a layer of human epidermal keratinocyte cells, which constitute 90 percent of our epidermis (the outermost layer of skin). These formed a moisture-retaining/water-resistant barrier on top of the gel, and gave the finger a more natural texture.

LG AI Research’s First AI Artist, ‘Tilda’, Creates A New Sustainable Clothing Collection Made By Combining Digital Waste With Secondhand Denim and Materials

Numerous activities, including construction and demolition, mining and industrial activities, cooking and gardening, and others, generate a substantial amount of garbage. The amount of waste generated is directly proportional to consumption and production patterns.

In most cases, waste formation is the result of inefficient material utilization. Trends in the number, composition and impacts of these materials provide insight into the nation’s efficiency in using (and reusing) materials and resources. It also provides a better understanding of the effects of waste on human health and the environment.

According to surveys, 92 million tonnes of cloth are dumped as garbage each year worldwide. Estimates predict that this figure will likely exceed 130 million tonnes by 2030. When 200 tonnes of water used to make a single tonne of fabric is considered, it becomes clear that the end-to-end processes of the garment industry are severe threats to environmental initiatives.

Andrea De Souza — Eli Lilly — Leveraging Big Data & Artificial Intelligence For Unmet Medical Needs

Leveraging big data & artificial intelligence to solve unmet medical needs — andrea de souza — eli lilly & co.

Andrea De Souza, is Associate Vice President, Research Data Sciences and Engineering, at Eli Lilly & Company (https://www.lilly.com/) where over the past three years her work has focused around empowering the Lilly Research Laboratories (LRL) organization with greater computational, analytics-intense experimentation to raise the innovation of their scientists.

A former neuroscience researcher, Andrea’s portfolio career has included leadership assignments at the intersection of science, technology and business development. She has built and led informatics and scientific teams across the entire pharmaceutical value chain.

Most recently, Andrea focused on building the Pharma Artificial Intelligence market at NVIDIA. Through this experience she has traveled the world advising bio-pharmaceutical clients, academics, research institutes, and startups in the potential of machine learning and artificial intelligence across every discipline of the industry.

Prior to her role at NVIDIA, Andrea held leadership positions at the Broad Institute of Harvard and MIT, Amgen, and Roche.

Continue reading “Andrea De Souza — Eli Lilly — Leveraging Big Data & Artificial Intelligence For Unmet Medical Needs” | >

Training a robot to recognize and pour water

Jeffrey DeanUnless you’re actively scrubbing the co2, that’s what happens when you recirculate air.

James FalkA carbonator?

Michael Taylor shared a link.

A horse, a zebra and artificial intelligence helped a team of Carnegie Mellon University researchers teach a robot to recognize water and pour it into a glass.

Water presents a tricky challenge for robots because it is clear. Robots have learned how to pour before, but previous techniques like heating the water and using a thermal camera or placing the glass in front of a checkerboard background don’t transition well to everyday life. An easier solution could enable servers to refill water glasses, robot pharmacists to measure and mix medicines, or robot gardeners to .

Continue reading “Training a robot to recognize and pour water” | >

Wearable, waterproof sensors combine high sensitivity and location options

Wearable sensors—an important tool for health monitoring and for training artificial intelligence—can be waterproof or can measure more than one stimuli, but combining these factors while maintaining a high level of precision in the measurements is difficult. Researchers co-led by Huanyu “Larry” Cheng, assistant professor of engineering science and mechanics at Penn State, have created sensors that are waterproof, an important trait for exercise monitoring and for withstanding perspiration and all weather conditions; can measure temperature and motion on both small and large scales; and can be attached to distal arteries such as those located beneath the eyebrow or in a toe.

The results are available now online in the Chemical Engineering Journal ahead of publication in the journal’s September print edition.

“There are three aspects of this that are novel in combination: the underwater application, the ability to detect ultra-small vibrations and subtle motions and temperature changes, and the multiple options for sensor location, such as the eyebrow or toe,” Cheng said.

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