Lifeboat Foundation

A new study has identified an association between receiving an influenza vaccine and a reduced risk of stroke. The research is published in the journal Neurology.

Risk factors for stroke

A stroke occurs when the blood supply to the brain is cut off, causing damage to neuronal cells that in turn affects physiological functions in the body. There are different types of strokes that can occur: ischemic – where a blockage prevents blood from reaching the brain, hemorrhagic – caused by a bleed in or around the brain and transient ischemic attacks (TIA) which are strokes that last for a short amount of time. It’s estimated that one in four people aged 25 and over will be afflicted by a stroke in their lifetime.

Stable Diffusion is a powerful open-source image AI that competes with OpenAI’s DALL-E 2. The AI training was probably rather cheap in comparison.

Anyone interested can download the model of the open-source image AI Stable Diffusion for free from Github and run it locally on a compatible graphics card. This must be reasonably powerful (at least 5.1 GB VRAM), but you don’t need a high-end computer.

In addition to the local, free version, the Stable Diffusion team also offers access via a web interface. For about $12, you get roughly 1,000 image prompts.

A community of rationally-minded people, seeking radical life extension.

Things are starting to get a bit strange in the world of the offshore wind industry in Australia. Nothing has been built yet – in fact legislation allowing even a feasibility study is yet to be finalised – but the sheer scale of the proposals is jaw-dropping.

In total, according to RenewEconomy’s own offshore wind map of Australia, nearly 40GW of project proposals scattered around the southern half of the country (the offshore wind resource is not nearly as interesting in the northern part of the island continent) have been unveiled by various developers.

Some 12GW of proposals, and accompanying headlines, have come from a little known Danish outfit called Copenhagen Energy, not to be confused with Copenhagen Infrastructure Partners, which is the biggest shareholder in the country’s most advanced wind project, the 2.2GW Star of the South proposal in Victoria.

Jojo Punnackal from Ernakulam, Kerala has been growing the gac fruit — an exotic and nutritious fruit from Vietnam — for the past four years. He earns around Rs 2 lakh by selling its seeds alone.

The European nuclear research facility CERN announced on Tuesday that scientists using the upgraded Large Hadron Collider (LHC) had identified three previously unknown particles.

After a three-year suspension for improvements, the world’s biggest and most powerful particle collider resumed operation. The modernized LHC enables researchers to analyze twenty times more collisions than previously.

Using the improved collider, CERN researchers discovered a “pentaquark” and the first-ever pair of “tetraquarks.”

University of Texas at Dallas physicists and their collaborators at Yale University have demonstrated an atomically thin, intelligent quantum sensor that can simultaneously detect all the fundamental properties of an incoming light wave.

The research, published April 13 in the journal Nature, demonstrates a new concept based on quantum geometry that could find use in health care, deep-space exploration and remote-sensing applications.

“We are excited about this work because typically, when you want to characterize a wave of light, you have to use different instruments to gather information, such as the intensity, wavelength and polarization state of the light. Those instruments are bulky and can occupy a significant area on an optical table,” said Dr. Fan Zhang, a corresponding author of the study and associate professor of physics in the School of Natural Sciences and Mathematics.

Researchers at Oxford University’s Department of Computer Science, in collaboration with colleagues from Bogazici University, Turkey, have developed a novel artificial intelligence (AI) system to enable autonomous vehicles (AVs) achieve safer and more reliable navigation capability, especially under adverse weather conditions and GPS-denied driving scenarios. The results have been published today in Nature Machine Intelligence.

Yasin Almalioglu, who completed the research as part of his DPhil in the Department of Computer Science, said, “The difficulty for AVs to achieve precise positioning during challenging adverse weather is a major reason why these have been limited to relatively small-scale trials up to now. For instance, weather such as rain or snow may cause an AV to detect itself in the wrong lane before a turn, or to stop too late at an intersection because of imprecise positioning.”

To overcome this problem, Almalioglu and his colleagues developed a novel, self-supervised deep learning model for ego-motion estimation, a crucial component of an AV’s driving system that estimates the car’s moving position relative to objects observed from the car itself. The model brought together richly-detailed information from visual sensors (which can be disrupted by adverse conditions) with data from weather-immune sources (such as radar), so that the benefits of each can be used under different weather conditions.

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The World Robot Conference 2022 was held in Beijing. Due to the ongoing offline pandemic, only Chinese robotics companies were represented, and the rest of the world joined in the online format. But the Chinese booths were also, as always, a lot to see. We gathered for you all the most interesting things from the largest robot exhibition in one video!

Continue reading “WRC 2022 — China’s largest robot exhibition | Robots and technologies at the exhibition in China” »