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Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory have developed a robotic gripper with the dexterity to handle thin objects like ropes and cables, the university announced. The technology could one day be used by robots to perform household tasks such as folding clothes, or for more technical purposes like wire shaping.

Humans can find it challenging to manipulate thin flexible objects, and doing so can be “nearly impossible” for robots, MIT spokeswoman Rachel Gordon said in an email. The standard approach had been for robots to use “a series of slow and incremental deformations,” plus mechanical fixtures, to handle these objects.

As cells develop, changes in how our genes interact determines their fate. Differences in these genetic interactions can make our cells robust to infection from viruses or make it possible for our immune cells to kill cancerous ones.

Understanding how these gene associations work across the development of human tissue and organs is important for the creation of medical treatments for complex diseases as broad as cancer, developmental disorders, or .

A new technology called single-cell RNA-sequencing has made it possible to study the behavior of genes in human and mammal at an unprecedented resolution and promises to accelerate scientific and medical discoveries.

July 13, 2020—Researchers at Columbia Engineering and Montana State University report today that they have found that placing sufficient strain in a 2-D material—tungsten diselenide (WSe2)—creates localized states that can yield single-photon emitters. Using sophisticated optical microscopy techniques developed at Columbia over the past three years, the team was able to directly image these states for the first time, revealing that even at room temperature they are highly tunable and act as quantum dots, tightly confined pieces of semiconductors that emit light.

“Our discovery is very exciting, because it means we can now position a emitter wherever we want, and tune its properties, such as the color of the emitted photon, simply by bending or straining the material at a specific location,” says James Schuck, associate professor of mechanical engineering, who co-led the study published today by Nature Nanotechnology. “Knowing just where and how to tune the single-photon is essential to creating quantum optical circuitry for use in quantum computers, or even in so-called ‘quantum’ simulators that mimic physical phenomena far too complex to model with today’s computers.”

Developing such as quantum computers and quantum sensors is a rapidly developing field of research as researchers figure out how to use the unique properties of quantum physics to create devices that can be much more efficient, faster, and more sensitive than existing technologies. For instance, quantum information—think encrypted messages—would be much more secure.

I think so.


Will augs like in the video game Deus Ex ever be possible? Why or why not? If one day they are, what are the implications? We have a long way to go, and the more we try to control our system, the less we will have available to us in the future.

DARPA Research (mind controlled, robotic, prosthetic arm) ► https://www.youtube.com/watch?v=xynE-43trQg

Larsen & Toubro has finished the construction of 3,800-tonne ITER cryostat — the world’s largest steel vacuum chamber and a critical part of the ITER machine — for world’s first fusion reactor as a source of endless clean energy. The company says that the final components are ready to ship to the project site in France and here is what it means for the future of humanity.

Just over a month after announcing its latest generation Ampere A100 GPU, Nvidia said this week that the powerhouse processor system is now available on Google Cloud.

The A100 Accelerator Optimized VM A2 instance family is designed for enormous artificial intelligence workloads and . Nvidia says users can expect substantive improvements over previous processing models, in this instance up to a 20-fold performance boost. The system maxes out at 19.5 TFLOPS for single-precision performance and 156 TFLOPS for AI and computing applications demanding TensorFloat 32 operations.

The Nvidia Ampere is the largest 7 nanometer chip ever constructed. It sports 54 billion transistors and offers innovative features such as multi-instance GPU, automatic mixed precision, an NVLink that doubles GPU-to-GPU direct bandwidth and faster memory reaching 1.6 terabytes per second.