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Researchers observed more than 500 of these mysterious cosmic explosions, unraveling the hidden nature of their sources.

The most popular theory suggests that FRBs come from neutron stars, the collapsed cores of massive stars. Scientists believe that the explosions could be a result of a specific type of neutron star known as a magnetar, named so for their powerful magnetic fields, thousands of trillions of times more powerful than Earth’s fields.

“The reason we think that’s true is because they are the only thing that we know of that could plausibly produce such energetic flashes in such a short duration of time,” Masui said. “Otherwise, we don’t really know how they’re created.”

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“This can be hugely damaging in the event of ransomware attacks, where high privileges can enable the attackers to stop or destroy backups and other security tools,” Breen explained. “The ‘exploit detected’ tag means attackers are actively using them, so for me, it’s the most important piece of information we need to prioritize the patches.”

If you need any further incentive to update, these seven zero day exploits are part of 50 security vulnerabilities (including another five labelled ‘Critical’) which June’s Patch Tuesday will address. Google has also issued a similar warning for Chrome users.

If you are blocking Windows 10 system updates (a popular pastime for many users), now would be a very good time to stop doing so. Go to Start Settings Update & Security and in the Windows Update Window look to see if the update has already been downloaded. If not, click Check for Updates.

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When particles are cooled down to temperatures just above absolute zero, they form a BEC – a state of matter in which all the particles occupy the same quantum state and thus act in unison, like a superfluid. A BEC made up of tens of thousands of particles therefore behaves as if it were just one single giant quantum particle.

An international team of researchers led by Carlos Anton-Solanas and Christian Schneider from the University of Oldenburg, Germany; Sven Höfling of the University of Würzburg, Germany; Sefaattin Tongay at Arizona State University, US; and Alexey Kavokin of Westlake University in China, has now generated a BEC from quasiparticles known as exciton-polaritons in atomically thin crystals. These quasiparticles form when excited electrons in solids couple strongly with photons.

“Devices that can control these novel light-matter states hold the promise of a technological leap in comparison with current electronic circuits,” explains Anton-Solanas, who is in the quantum materials group at Oldenburg’s Institute of Physics. “Such optoelectronic circuits, which operate using light instead of electric current, could be better and faster at processing information than today’s processors.”

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But what struck me about his essay is that last clause: “if we as a society manage it responsibly.” Because, as Altman also admits, if he is right then A.I. will generate phenomenal wealth largely by destroying countless jobs — that’s a big part of how everything gets cheaper — and shifting huge amounts of wealth from labor to capital. And whether that world becomes a post-scarcity utopia or a feudal dystopia hinges on how wealth, power and dignity are then distributed — it hinges, in other words, on politics.

Will A.I. give us the lives of leisure we long for — or usher in a feudal dystopia? It depends.

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Using an ultrafast transmission electron microscope, researchers from the Technion – Israel Institute of Technology have, for the first time, recorded the propagation of combined sound and light waves in atomically thin materials.

The experiments were performed in the Robert and Ruth Magid Electron Beam Quantum Dynamics Laboratory headed by Professor Ido Kaminer, of the Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering and the Solid State Institute.

Single-layer materials, alternatively known as 2D materials, are in themselves novel materials, solids consisting of a single layer of atoms. Graphene, the first 2D material discovered, was isolated for the first time in 2004, an achievement that garnered the 2010 Nobel Prize. Now, for the first time, Technion scientists show how pulses of light move inside these materials. Their findings, “Spatiotemporal Imaging of 2D Polariton Wavepacket Dynamics Using Free Electrons,” were published in Science following great interest by many scientists.

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“It was so easy to get support from Northeastern, especially considering that we were fresh out of college,” Gurijala says. Through the Venture Mentoring Network, the co-founders were advised on how to create a business model and pitch investors. “They even connected us to our first investor. I’m not sure we could have started Boston Materials without the support of the whole entrepreneurial ecosystem at Northeastern.”

Boston Materials, which recently raised $8 million from investors, is looking to expand its team.

“We’re looking to grow across the company, from the manufacturing team, to the engineering team, to the technical sales team,” Gurijala says. “It’s an exciting time. There’s so much momentum behind us right now.”

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With the established success of flexible computer screen displays, many users are wondering how display technology will advance next. So far, free-form displays have grown popular as a next-generation product that offers both portability and high-resolution visuals.

While this technology is still quite new, a wealth of research already exists into the stretchable displays that make up free form displays, products that can stretch into any direction like rubber.

On June 4, 2021, research at Samsung appeared in the well-known journal Science Advances discussing a technology that bypasses the limitations of stretchable devices. The associated experiment showed stable performance even when the was significantly elongated. As these products can already be used in existing semiconductor processes, Samsung researchers have high hopes about what this could mean for the commercialization and salability of stretchable devices.

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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.

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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.

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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.”

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