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Norway’s Wind Catching Systems (WCS) has made a spectacular debut with a colossal floating wind turbine array it says can generate five times the annual energy of the world’s biggest single turbines – while reducing costs enough to be immediately competitive with grid prices.

Standing more than 1000 ft (324 m) high, these mammoth Windcatcher grids would deploy multiple smaller turbines (no less than 117 in the render images) in a staggered formation atop a floating platform moored to the ocean floor using established practices from the oil and gas industry.

Just one of these arrays, says WCS, could offer double the swept area of the world’s biggest conventional wind turbines – the 15 MW Vestas V236 – and its smaller rotors could perform much better in wind speeds over 40 to 43 km/h (25 to 27 mph), when larger turbines tend to start pitching their blades to limit production and protect themselves from damage. The overall effect, says WCS, is a 500 percent boost in annual energy output, with each array making enough power to run 80000 European homes.

BMW Motorrad may not have arrived very early to the electric motorcycle party, but the company is making up for it now with what could become an industry first electric motorcycle with a driveshaft.

BMW loves its driveshaft motorcycles, but the electric motorcycle industry hasn’t been as keen on them.

Electric motors and batteries have freed motorcycle manufacturers from the typical design constraints of gas-powered drivetrains. Unshackled from traditional gas tanks and bulky internal combustion engines, designers have been granted unprecedented levels of freedom thanks to the modularity of electric motorcycle components.

Deep neural networks have achieved highly promising results on several tasks, including image and text classification. Nonetheless, many of these computational methods are prone to what is known as catastrophic forgetting, which essentially means that when they are trained on a new task, they tend to rapidly forget how to complete tasks they were trained to complete in the past.

Researchers at Université Paris-Saclay-CNRS recently introduced a new technique to alleviate forgetting in binarized . This technique, presented in a paper published in Nature Communications, is inspired by the idea of synaptic metaplasticity, the process through which synapses (junctions between two ) adapt and change over time in response to experiences.

“My group had been working on binarized neural networks for a few years,” Damien Querlioz, one of the researchers who carried out the study, told TechXplore. “These are a highly simplified form of deep neural networks, the flagship method of modern artificial intelligence, which can perform complex tasks with reduced memory requirements and energy consumption. In parallel, Axel, then a first-year Ph.D. student in our group, started to work on the synaptic metaplasticity models introduced in 2005 by Stefano Fusi.”

Calico has made some important discoveries about Yamanaka factors.


In a preprint paper, scientists from Calico, Google’s longevity research behemoth, suggest that contrary to our previous understanding, transient reprogramming of cells using Yamanaka factors involves suppressing cellular identity, which may open the door to carcinogenic mutations. They also propose a milder reprogramming method inspired by limb regeneration in amphibians [1].

Rejuvenation that can give you cancer

In 2006, a group of scientists led by Shinya Yamanaka developed a technique for reprogramming somatic cells back into pluripotent stem cells by transfusing them with a cocktail of transcription factors [2]. These four pluripotency-associated genes, Oct4, Sox2, Klf4, and c-Myc (OSKM), became known as the Yamanaka factors. This breakthrough made it possible to produce patient-specific stem cells from their own somatic cells.

Analog AI processor company Mythic launched its M1076 Analog Matrix Processor today to provide low-power AI processing.

The company uses analog circuits rather than digital to create its processor, making it easier to integrate memory into the processor and operate its device with 10 times less power than a typical system-on-chip or graphics processing unit (GPU).

The M1076 AMP can support up to 25 trillion operations per second (TOPS) of AI compute in a 3-watt power envelope. It is targeted at AI at the edge applications, but the company said it can scale from the edge to server applications, addressing multiple vertical markets including smart cities, industrial applications, enterprise applications, and consumer devices.

“I didn’t think I would be emotional about this.”


It’s not just humans that use prosthetic limbs—wounded or disabled animals can benefit from them, too. In the past, we’ve reported on cats, dogs, and even an elephant who have been fitted for prosthesis. The latest creature who’s now learning to walk on an artificial foot is an adorable duck named Waddles.

Waddles was born with a deformed leg, but his adoptive owner Ben Weinman wanted to help him live a better life. He contacted Derrick Campana, a Certified Pet Prostheticist at Bionic Pets who made a 3D-printed prosthetic leg and foot.

A clip from the NatGeo Wild series, The Wizard of Paws, was recently shared online, revealing the heartwarming moment when Waddles was fitted with his new leg. At first, he’s not quite sure what to make of it, but after a little encouragement from Weinman and Campana, he starts happily toddling along on both feet.

Discovery in Salamanders by James W. Godwin, Ph.D., brings science closer to the development of regenerative medicine therapies.

Many salamanders can readily regenerate a lost limb, but adult mammals, including humans, cannot. Why this is the case is a scientific mystery that has fascinated observers of the natural world for thousands of years.

Now, a team of scientists led by James Godwin, Ph.D., of the MDI Biological Laboratory in Bar Harbor, Maine, has come a step closer to unraveling that mystery with the discovery of differences in molecular signaling that promote regeneration in the axolotl, a highly regenerative salamander, while blocking it in the adult mouse, which is a mammal with limited regenerative ability.

Last Tuesday, teams from Google and Harvard published an intricate map of every cell and connection in a cubic millimeter of the human brain.

The mapped region encompasses the various layers and cell types of the cerebral cortex, a region of brain tissue associated with higher-level cognition, such as thinking, planning, and language. According to Google, it’s the largest brain map at this level of detail to date, and it’s freely available to scientists (and the rest of us) online. (Really. Go here. Take a stroll.)

“The human brain is an immensely complex network of brain cells which is responsible for all human behavior, but until now, we haven’t been able to completely map these connections within even a small region of the brain,” said Dr. Alexander Shapson-Coe, a postdoctoral fellow at Harvard’s Lichtman Lab and lead author of a preprint paper about the work.

Designing an autonomous, learning smart garden.


In the first episode of Build Out, Colt and Reto — tasked with designing the architecture for a “Smart Garden” — supplied two very different concepts, that nevertheless featured many overlapping elements. Take a look at the video to see what they came up with, then continue reading to see how you can learn from their explorations to build your very own Smart Garden.

Both solutions aim to optimize plant care using sensors, weather forecasts, and machine learning. Watering and fertilizing routines for the plants are updated regularly to guarantee the best growth, health, and fruit yield possible.

Colt’s solution is optimized for small-scale home farming, using a modified CNC machine to care for a fruit or vegetable patch. The drill bit is replaced with a liquid spout, UV light, and camera, while the cutting area is replaced with a plant bed that includes sensors to track moisture, nutrient levels, and weight.