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Need a robot with a soft touch? A team of Michigan State University engineers has designed and developed a novel humanoid hand that may be able to help.

In industrial settings, robots often are used for tasks that require repetitive grasping and manipulation of objects. The end of a robot where a human hand would be found is known as an end effector or gripper.

“The novel humanoid hand design is a soft-hard hybrid flexible gripper. It can generate larger grasping than a traditional pure soft hand, and simultaneously be more stable for accurate manipulation than other counterparts used for heavier objects,” said lead author Changyong Cao, director of the Laboratory for Soft Machines and Electronics at MSU and assistant professor in Packaging, Mechanical Engineering, and Electrical and Computer Engineering.

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Researchers from the Okinawa Institute of Science and Technology Graduate University (OIST) have created next-generation solar modules with high efficiency and good stability. Made using perovskites, these solar modules can maintain high performance for over 2000 hours. Their findings, reported 20 July 2020 in Nature Energy, have brightened prospects of commercialization.

Perovskites have the potential to revolutionize the solar technology industry. Flexible and lightweight, they promise more versatility than the heavy and rigid silicon-based cells currently dominating the market. But scientists must overcome some major hurdles before perovskites can be commercialized.

“There are three conditions that perovskites must meet: They must be cheap to produce, highly efficient and have a long lifespan,” said Professor Yabing Qi, head of the OIST Energy Materials and Surface Sciences Unit, who led this study.

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In the pursuit of a rechargeable battery that can power electric vehicles (EVs) for hundreds of miles on a single charge, scientists have endeavored to replace the graphite anodes currently used in EV batteries with lithium metal anodes.

But while metal extends an EV’s driving range by 30–50%, it also shortens the battery’s useful life due to lithium dendrites, tiny treelike defects that form on the lithium anode over the course of many charge and discharge cycles. What’s worse, dendrites short-circuit the cells in the battery if they make contact with the cathode.

For decades, researchers assumed that hard, solid electrolytes, such as those made from ceramics, would work best to prevent dendrites from working their way through the cell. But the problem with that approach, many found, is that it didn’t stop dendrites from forming or “nucleating” in the first place, like tiny cracks in a car windshield that eventually spread.

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Amid ever-increasing demands for privacy and security for highly sensitive data stored in the cloud, Google Cloud announced this week the creation of Confidential Computing.

Terming it a “,” Google said the technology, which will offer a number of products in the coming months, allows users to encrypt not only as it is stored or sent to the cloud, but while it is being worked on as well.

Confidential Computing keeps data encrypted as it’s being “used, indexed, queried, or trained on” in memory and “elsewhere outside the central processing unit,” Google said in a statement about the new technology.

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In recent years, several research teams worldwide have been trying to develop a new class of devices known as spintronics or spin transport electronics. These devices can encode, store, process and transmit data using the spin of electrons in certain materials.

The operation of spintronics relies on magneto-transport effects, such as (GMR) and tunneling (TMR), which enable the transport of electrons through a given material in the form of a magnetic field. A device is generally made of two conductive ferromagnetic layers separated by a non-magnetic metal layer (i.e., a spin valve) or an insulator layer (i.e., a ).

Magneto-transport effects, which occur in a device’s spin valves and magnetic tunnel junctions, result in a relatively low resistance when the two magnetic layers are parallel and a relatively high resistance state when they are not. These effects are crucial to the functioning of many contemporary storage devices, including and magnetic random access memories (MRAMs).

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Scientists have managed to draw at high resolution and speed, local patterns in organic semiconductor films used in optoelectronic and photonic applications. The new method enables the patterning of material characteristics and concomitant final properties, including molecular conformation, orientation, crystallinity and composition. The technique, published with open access in Nature Communications, has also been patented and industrial partners are sought for further co-development.

Bridging the gap between and the worldwide deployed silicon electronics requires new low cost and low energy consumption fabrication methods and technologies. This work represents a key enabling technology to accelerate the use of flexible and light-weight organic electronics and photonics to the level of silicon-based devices.

The microstructure and composition of organic semiconductors need to be tuned locally in order to optimize their properties, such as charge carrier mobility, electrical conductivity and light emission; and expand their functionalities for the practical upscaling of applications such as organic transistors (OFETs) and light emitting diodes (OLEDs), organic photovoltaics (OPV), organic thermoelectric generators (OTEGs), and organic photonic structures.

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Researchers at Tel Aviv University, led by Prof. Yaniv Assaf of the School of Neurobiology, Biochemistry and Biophysics and the Sagol School of Neuroscience and Prof. Yossi Yovel of the School of Zoology, the Sagol School of Neuroscience, and the Steinhardt Museum of Natural History, conducted a first-of-its-kind study designed to investigate brain connectivity in 130 mammalian species. The intriguing results, contradicting widespread conjectures, revealed that brain connectivity levels are equal in all mammals, including humans.

“We discovered that —namely the efficiency of information transfer through the —does not depend on either the size or structure of any specific ,” says Prof. Assaf. “In other words, the brains of all mammals, from tiny mice through humans to large bulls and dolphins, exhibit equal connectivity, and information travels with the same efficiency within them. We also found that the brain preserves this balance via a special compensation mechanism: when connectivity between the hemispheres is high, connectivity within each hemisphere is relatively low, and vice versa.”

Participants included researchers from the Kimron Veterinary Institute in Beit Dagan, the School of Computer Science at TAU and the Technion’s Faculty of Medicine. The paper was published in Nature Neuroscience on June 8.

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Carnegie Mellon today showed off new research into the world of robotic navigation. With help from the team at Facebook AI Research (FAIR), the university has designed a semantic navigation that helps robots navigate around by recognizing familiar objects.

The SemExp system, which beat out Samsung to take first place in a recent Habitat ObjectNav Challenge, utilizes machine learning to train the system to recognize objects. That goes beyond simple superficial traits, however. In the example given by CMU, the robot is able to distinguish an end table from a kitchen table, and thus extrapolate in which room it’s located. That should be more straightforward, however, with a fridge, which is both pretty distinct and is largely restricted to a singe room.

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