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Ford is investing $1 billion in a secretive artificial intelligence startup headed by former Google and Uber execs to advance its self-driving car efforts.

The startup, Argo AI, was founded by Bryan Salesky, the former director of hardware for Google’s self-driving-car efforts, and Peter Rander, Uber’s engineering lead at its autonomous cars center.

The $1 billion investment will be spread out over five years as Ford looks to commercialize its self-driving technology by 2021.

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NASA has selected proposals for the creation of two multi-disciplinary, university-led research institutes that will focus on the development of technologies critical to extending human presence deeper into our solar system.

The new Space Technology Research Institutes (STRIs) created under these proposals will bring together researchers from various disciplines and organizations to collaborate on the advancement of cutting-edge technologies in bio-manufacturing and space infrastructure, with the goal of creating and maximizing Earth-independent, self-sustaining exploration mission capabilities.

“NASA is establishing STRIs to research and exploit cutting-edge advances in technology with the potential for revolutionary impact on future aerospace capabilities,” said Steve Jurczyk, associate administrator for NASA’s Space Technology Mission Directorate in Washington. “These university-led, multi-disciplinary research programs promote the synthesis of science, engineering and other disciplines to achieve specific research objectives with credible expected outcomes within five years. At the same time, these institutes will expand the U.S. talent base in areas of research and development with broader applications beyond aerospace.”

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Another new interface method.


Engineering researchers at The University of Texas at Austin have designed ultra-flexible, nanoelectronic thread (NET) brain probes that can achieve more reliable long-term neural recording than existing probes and don’t elicit scar formation when implanted.

The researchers described their findings in a research article published in Science Advances (“Ultraflexible nanoelectronic probes form reliable, glial scar–free neural integration”).

ultra-flexible probe in neural tissue

This is a rendering of the ultra-flexible probe in neural tissue gives viewers a sense of the device’s tiny size and footprint in the brain.

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Nice.


CAMBRIDGE, Mass. — Determining the exact configuration of proteins and other complex biological molecules is an important step toward understanding their functions, including how they bind with receptors in the body. But such imaging is difficult to do. It usually requires the molecules to be crystallized first so that X-ray diffraction techniques can be applied — and not all such molecules can be crystallized.

Now, a new method developed by researchers at MIT could lead to a way of producing high-resolution images of individual biomolecules without requiring crystallization, and it could even allow zoomed-in imaging of specific sites within the molecules. The technique could also be applied to imaging other kinds of materials, including two-dimensional materials and nanoparticles.

The findings are reported this week in the Proceedings of the National Academy of Sciences, in a paper by Paola Cappellaro, the Esther and Harold E. Edgerton Associate Professor of Nuclear Science and Engineering at MIT, and others at MIT and at the Singapore University of Technology and Design.

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Great read and highlights what I have been showing folks around the convergence that is occurring between technology and biology via Quantum. We’re achieving (in the Epoch chart on Singularity Evolution) Epoch 5 via Quantum Bio and our work we’re seeing from DARPA, Microsoft, Amazon, Google, and others. Synbio has to mimic the properties we see with Quantum Biology/ Biosystems. And, things like DARPA’s own RadioBio will enable and expose many things on multiple fronts in Biosensors (including security), IoT, healthcare/ medical prevention management and treatments, AI, etc.


Singularity – the state of being singular; Oneness.

The biological system is a natural form of technology. A simple examination of the nanobiology of the macromolecular system of any cell will attest to this – enzymes and structural proteins are veritable nanomachines, linked to the information processing network of DNA and plasma membranes. Far from being a primordial or rudimentary organic technology – we are discovering more and more the level of complexity and paragon technological sophistication of living systems, which as is being discovered, even includes non-trivial quantum mechanical phenomena once thought to only be possible in the highly specialized and controlled environment of the laboratory.

Reciprocally, soon our technologies will become living systems – particularly through nanotechnology (which is being accomplished through reverse engineering and hybridization with biomolecules, particularly DNA) and general artificial intelligence – machine sentience. Following this parallelization of biology with technology, we can examine how humanity as a technological supraorganism is undergoing a period of punctuated speciation – an evolutionary transformation of both our inner and outer world.

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Engineers at the U.S. Army Armament Research, Development and Engineering Center, or ARDEC, have been making advancements in an initiative called “Component Miniaturization.”

Its mission focuses on making armament systems more precise, energy efficient, scalable and effective by reducing the size of critical components in sub-systems such as safe and arm devices, electronics packages, power supplies and inertial measurement systems. Size reductions in one sub-system can have a positive effect on another. For example, a smaller and more efficient electronics package design can reduce power supply demands as well as reduce the need for heavier supporting structures. The space savings and mass savings could then be used to add a larger explosive warhead or increase control surfaces for additional maneuverability. The reduced size and mass could also allow for additional portability to smaller calibers or to systems with greater launch velocities.

The initiative involves several discrete projects, some of which are described below:

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Nice.


Researchers at the University of Central Florida (UCF) in the US are combining nanoscience with the principle of Faraday rotation, a magnetic phenomenon discovered in 1845, in a new method for speedy medical tests.

The team applied the magneto-optical technique, called frequency-domain Faraday rotation spectroscopy—or fd-FRS, to characterize proteins, using antibody-functionalized magnetic nanoparticles (MNPs).

“Fd-FRS is a new way of looking at the interaction between light and magnetized material,” says Shawn Putnam, assistant professor UFC’s College of Engineering & Computer Science. “We covered the surfaces of magnetic nanoparticles with a layer of biological sensors and measured their movement after exposure to their corresponding biological targets for detection.”

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NICE.


The Science

Newswise — Quantum computers — a possible future technology that would revolutionize computing by harnessing the bizarre properties of quantum bits, or qubits. Qubits are the quantum analogue to the classical computer bits “0” and “1.” Engineering materials that can function as qubits is technically challenging. Using supercomputers, scientists from the University of Chicago and Argonne National Laboratory predicted possible new qubits built out of strained aluminum nitride. Moreover, the scientists showed that certain newly developed qubits in silicon carbide have unusually long lifetimes.

The Impact

Quantum computers could break common cryptography techniques, search huge datasets, and simulate quantum systems in a fraction of the time it would take today’s computers. However, engineers first need to harness the properties of quantum bits. Engineering new qubits with less difficult methods could lower one of the significant barriers to scaling quantum computers from small prototypes into larger-scale technologies.

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Nice new algorithm for humanoid systems.


A person dissipates various kind of emotion during the daily conversation. The expression actually depends on the statement of the narrator but, sometimes it is very difficult to perceive someone’s sentiment behind the speech. To unveil the emotion behind someone’s speech, scientists created an artificial intelligence algorithm.

A research team from Massachusetts Institute of Technology’s(MIT) from Computer Science and Artificial Intelligence Laboratory (CSAIL) and Institute for Medical Engineering and Science (IMES) built a wearable app that is programmed with the algorithm. It could be a perfect alternative of polygraph because polygraphs are not really reliable because it has a lot of errors. Their invention was first officially introduced in the official press release of MIT News.

Ph.D. candidate Mohammad Ghassemi, lead researcher of this program said in a statement, “Our work is a step in this direction, suggesting that we may not be that far away from the world where people can have an AI social coach right in their pocket”. Ghassemi and his team equipped a fitness tracker with the app that collects physical and speech data to examine the tonal characteristics.

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