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Category: robotics/AI – Page 1825

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Ultraprecise 3D printing technology is a key enabler for manufacturing precision biomedical and photonic devices. However, the existing printing technology is limited by its low efficiency and high cost. Professor Shih-Chi Chen and his team from the Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong (CUHK), collaborated with the Lawrence Livermore National Laboratory to develop the Femtosecond Projection Two-photon Lithography (FP-TPL) printing technology.

By controlling the spectrum via temporal focusing, the laser 3D printing process is performed in a parallel layer-by-layer fashion instead of point-by-point writing. This new technique substantially increases the printing speed by 1,000—10,000 times, and reduces the cost by 98 percent. The achievement has recently been published in Science, affirming its technological breakthrough that leads nanoscale 3D printing into a new era.

The conventional nanoscale 3D , i.e., two-photon polymerization (TPP), operates in a point-by-point scanning fashion. As such, even a centimeter-sized object can take several days to weeks to fabricate (build rate ~ 0.1 mm3/hour). The process is time-consuming and expensive, which prevents practical and industrial applications. To increase speed, the resolution of the finished product is often sacrificed. Professor Chen and his team have overcome the challenging problem by exploiting the concept of temporal focusing, where a programmable femtosecond light sheet is formed at the focal plane for parallel nanowriting; this is equivalent to simultaneously projecting millions of laser foci at the , replacing the traditional method of focusing and scanning laser at one point only. In other words, the FP-TPL technology can fabricate a whole plane within the time that the point-scanning system fabricates a point.

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Can A.I. make music? Can it feel excitement and fear? Is it alive? Will.i.am and Mark Sagar push the limits of what a machine can do. How far is too far, and how much further can we go?

The Age of A.I. is a 8 part documentary series hosted by Robert Downey Jr. covering the ways Artifial Intelligence, Machine Learning and Neural Networks will change the world.

You choose — watch all episodes uninterrupted with YouTube Premium now, or wait to watch new episodes free with ads.

Check out YouTube Premium at: https://www.youtube.com/premium/originals

Continue reading “How Far is Too Far? | The Age of A.I.” | >

A team in Switzerland has created a soft robotic insect that can withstand a multitude of hits from a flyswatter.

A new soft robotic insect could one day form part of a swarm designed to perform a number of different tasks. A team from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland developed the insect and showed it is incredibly durable, even when being battered by a flyswatter.

Publishing its findings to Science Robotics, the team said the insect – called DEAnsect – is propelled 3cm per second by artificial muscles. Two versions were produced: one tethered with ultra-thin wires, the other being untethered and autonomous weighing less than 1g, including its battery and components.

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John Giannandrea, Vice President of Engineering with responsibility for Google’s Computer Science Research and Machine Intelligence groups; leading teams in Machine Learning, Machine Intelligence, Computer Perception, Natural Language Understanding, and Quantum Computing, “I’m definitely not worried about the AI apocalypse, I just object to the hype and soundbites that some people are making” said at the TechCrunch Disrupt conference in San Francisco.

Google’s John Giannandrea sits down with Frederic Lardinois to discuss the AI hype/worry cycle and the importance, limitations, and acceleration of machine learning.

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A computational model could improve the selection of tumor antigens for personalized cancer vaccines that are now in early-stage clinical trials.

Every cell in the is coated with fragments of proteins called antigens that tell the what’s inside the cell. Antigens presented on that are infected by foreign invaders or have become rogue cancers prompt an immune attack. Such antigens are often used in vaccines to spur immune responses against, for example, viruses like the flu. But to make vaccines that effectively stimulate attack against cancer, researchers need to predict exactly which tumor-specific antigens will be displayed on and hence would be the best ones to put in a cancer vaccine.

Now, scientists at the Broad Institute of MIT and Harvard, Dana-Farber Cancer Institute, and Massachusetts General Hospital have developed a new computational tool that could help with this task. The researchers turned to machine learning to analyze a diverse set of more than 185,000 human antigens that they discovered, and generated a new set of rules that predict which antigens are presented on the surface of a person’s cells. The findings, published today in Nature Biotechnology, could aid in the development of new treatments that stimulate the immune system to attack cancer as well as viruses and bacteria.

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Given that opportunity, the acquisition of Habana is only a component of a wide attack on the market and that it’s not clear how it fits with the other acquisitions and projects, the initial response to the Habana acquisition should be a shrug. Intel is like a VC firm in that it only needs one of the multiple initiatives to hit in order to end up in the black.

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