Lifeboat Foundation

Google’s parent Alphabet unveiled a new “moonshot” project to develop software for robotics which could be used in a wide range of industries.

The new unit, dubbed Intrinsic, will “become an independent Alphabet company,” and seek industrial partners to advance their work helping to make everything from solar panels to cars, the new unit’s chief, Wendy Tan-White, said in a blog post.

“Intrinsic is working to unlock the creative and economic potential of industrial robotics for millions more businesses, entrepreneurs, and developers,” she said.

Toyota Motor Corporation (Toyota) today announced the “LQ”, a concept vehicle that leverages advanced technology to build an emotional bond between car and driver. The next generation of the Toyota “Concept-i”, a concept vehicle first exhibited at the 2017 Consumer Electronics Show, LQ is equipped with automated driving capabilities and “Yui,” a powerful artificial intelligence-powered interactive agent designed to learn from the driver and deliver a personalized mobility experience.

Beijing’s Da Vinci Dynamics has launched its DC100, a high-performance electric streetbike with an impressive 250-mile (400 km) NEDC range, and some wacky “robotic” tricks, including the alleged ability to self-balance and follow you around.

We’ve got ourselves a bit of a kitchen sinker here; Da Vinci has thrown all sorts of features at this one. But even some of the basic specs are a tad elusive. For starters, while it makes a peak of 135 horsepower, putting it very much in the “fast electric” category, the company says it runs “a smart control system that seamlessly integrates multiple different motors.” Who the what now? Multiple motors? A separate press release then states it’s actually 137 horsepower, running through a hub motor.

Continue reading “Da Vinci DC100, a self-balancing electric motorcycle that will follow you around” »

An organic transistor that incorporates two bulk heterojunctions can exhibit active photoadaptation behaviour for light intensities that range over six orders of magnitude.

The development of artificial visual systems that mimic biological systems requires devices that can autonomously adapt their response to varying stimuli. However, emulating biological feedforward visual adaptation is challenging and requires complementary photoexcitation and inhibition, ideally in a single device. Here we show that an organic transistor that incorporates two bulk heterojunctions is capable of light intensity-dependent active photoadaptation. The approach couples the photovoltaic effect in bulk heterojunctions with electron trapping in the dielectric layer, allowing adaptive modulation of the carrier concentration of the transistor. Our device exhibits active photoadaptation behaviour for light intensities ranging over six orders of magnitude (1 to 106 cd m−2).

Bioprinting in seconds.

Biofabrication technologies, including stereolithography and extrusion-based printing, are revolutionizing the creation of complex engineered tissues. The current paradigm in bioprinting relies on the additive layer-by-layer deposition and assembly of repetitive building blocks, typically cell-laden hydrogel fibers or voxels, single cells, or cellular aggregates. The scalability of these additive manufacturing technologies is limited by their printing velocity, as lengthy biofabrication processes impair cell functionality. Overcoming such limitations, the volumetric bioprinting of clinically relevant sized, anatomically shaped constructs, in a time frame ranging from seconds to tens of seconds is described. An optical-tomography-inspired printing approach, based on visible light projection, is developed to generate cell-laden tissue constructs with high viability (85%) from gelatin-based photoresponsive hydrogels. Free-form architectures, difficult to reproduce with conventional printing, are obtained, including anatomically correct trabecular bone models with embedded angiogenic sprouts and meniscal grafts. The latter undergoes maturation in vitro as the bioprinted chondroprogenitor cells synthesize neo-fibrocartilage matrix. Moreover, free-floating structures are generated, as demonstrated by printing functional hydrogel-based ball-and-cage fluidic valves. Volumetric bioprinting permits the creation of geometrically complex, centimeter-scale constructs at an unprecedented printing velocity, opening new avenues for upscaling the production of hydrogel-based constructs and for their application in tissue engineering, regenerative medicine, and soft robotics.

DeepMind is using its AI prowess to accelerate scientific work.

AI research lab DeepMind has created the most comprehensive map of human proteins to date using artificial intelligence. The company, a subsidiary of Google-parent Alphabet, is releasing the data for free, with some scientists comparing the potential impact of the work to that of the Human Genome Project, an international effort to map every human gene.

Proteins are long, complex molecules that perform numerous tasks in the body, from building tissue to fighting disease. Their purpose is dictated by their structure, which folds like origami into complex and irregular shapes. Understanding how a protein folds helps explain its function, which in turn helps scientists with a range of tasks — from pursuing fundamental research on how the body works, to designing new medicines and treatments.

Continue reading “DeepMind creates ‘transformative’ map of human proteins drawn” »

Neuroscientists removed fear from rats by inactivating amygdala — brain region mediating fear.

#Neuroscience #Brain #YuriNeuro #Neurobiology #Amygdala.

Continue reading “Scientists made this rat fearless” »

AlphaFold program’s prediction of nearly 20000 human protein structures now free for researchers.

Large space structures, such as telescopes and spacecraft, should ideally be assembled directly in space, as they are difficult or impossible to launch from Earth as a single piece. In several cases, however, assembling these technologies manually in space is either highly expensive or unfeasible.

In recent years, roboticists have thus been trying to develop systems that could be used to automatically assemble structures in space. To simplify this assembly process, space structures could have a modular design, which essentially means that they are comprised of different building blocks or modules that can be shifted to create different shapes or forms.

Researchers at the German Aerospace Center (DLR) and Technische Universität München (TUM) have recently developed an autonomous planner that could be used to assemble reconfigurable structures directly in space. This system, introduced in a paper presented at the 2021 IEEE Aerospace Conference, could allow aerospace engineers and astronauts to assemble large structures in space and adapt them for specific use cases, reconfiguring them when necessary.