XAG, one of China’s largest makers of agricultural drones, expects increased automation for planting rice in the country’s farmlands as a way to raise efficiency, while mitigating labour shortage and the threat of Covid-19.
The fast and efficient generation of random numbers has long been an important challenge. For centuries, games of chance have relied on the roll of a die, the flip of a coin, or the shuffling of cards to bring some randomness into the proceedings. In the second half of the 20th century, computers started taking over that role, for applications in cryptography, statistics, and artificial intelligence, as well as for various simulations—climatic, epidemiological, financial, and so forth.
Now abandoned bikes are strewn across the streets, the leather-covered massage chairs are empty amid worries over cleanliness and people are ordering more of their daily necessities online and avoiding malls altogether. After weeks of lockdowns and social distancing measures to combat the spread of the virus, many people are asking whether this fabled part of China’s shiny new tech-driven economy will ever recover its former glory.
Experts say that consumer behaviour has changed irrevocably as a result of Covid-19 – and that the sharing economy must adapt.
The most common organism in the oceans, and possibly on the entire planet, is a family of single-celled marine bacteria called SAR11. These drifting organisms look like tiny jelly beans and have evolved to outcompete other bacteria for scarce resources in the oceans.
We now know that this group of organisms thrives despite—or perhaps because of—the ability to host viruses in their DNA. A study published in May in Nature Microbiology could lead to new understanding of viral survival strategies.
University of Washington oceanographers discovered that the bacteria that dominate seawater, known as Pelagibacter or SAR11, hosts a unique virus. The virus is of a type that spends most of its time dormant in the host’s DNA but occasionally erupts to infect other cells, potentially carrying some of its host’s genetic material along with it.
A team of more than 30 OpenAI researchers have released a paper about GPT-3, a language model capable of achieving state-of-the-art results on a set of benchmark and unique natural language processing tasks that range from language translation to generating news articles to answering SAT questions. GPT-3 has a whopping 175 billion parameters. By comparison, the largest version of GPT-2 was 1.5 billion parameters, and the largest Transformer-based language model in the world — introduced by Microsoft earlier this month — is 17 billion parameters.
OpenAI released GPT-2 last year, controversially taking a staggered release approach due to fear that the model could be used for malicious purposes. OpenAI was criticized by some for the staggered approach, while others applauded the company for demonstrating a way to carefully release an AI model with the potential for misuse. GPT-3 made its debut with a preprint arXiv paper Thursday, but no release details are provided. An OpenAI spokesperson declined to comment when VentureBeat asked if a full version of GPT-3 will be released or one of seven smaller versions ranging in size from 125 million to 13 billion parameters.
August 19, 2019 — An international team of researchers developed a new magnetic resonance imaging (MRI) technique that can capture an image of a brain thinking by measuring changes in tissue stiffness. The results show that brain function can be tracked on a time scale of 100 milliseconds – 60 times faster than previous methods. The technique could shed new light on altered neuronal activity in brain diseases.
The human brain responds almost immediately to stimuli, but non-invasive imaging techniques haven’t been able to keep pace with the brain. Currently, several non-invasive brain imaging methods measure brain function, but they all have limitations. Most commonly, clinicians and researchers use functional magnetic resonance imaging (fMRI) to measure brain activity via fluctuations in blood oxygen levels. However, a lot of vital brain activity information is lost using fMRI because blood oxygen levels take about six seconds to respond to a stimulus.
Since the mid-1990s, researchers have been able to generate maps of tissue stiffness using an MRI scanner, with a non-invasive technique called magnetic resonance elastography (MRE). Tissue stiffness can not be measured directly, so instead researchers use MRE to measure the speed at which mechanical vibrations travel through tissue. Vibrations move faster through stiffer tissues, while vibrations travel through softer tissue more slowly; therefore, tissue stiffness can be determined. MRE is most commonly used to detect the hardening of liver tissue but has more recently been applied to other tissues like the brain.
For the first time, scientists have added microscopic tracking devices into the interior of cells, giving a peek into how development starts.
For the first time, scientists have introduced minuscule tracking devices directly into the interior of mammalian cells, giving an unprecedented peek into the processes that govern the beginning of development. This work on one-cell embryos is set to shift our understanding of the mechanisms that underpin cellular behavior in general, and may ultimately provide insights into what goes wrong in aging and disease. The research, led by Professor Tony Perry from the Department of Biology and Biochemistry at the University of Bath, involved injecting a silicon-based nanodevice together with sperm into the egg cell of a mouse. The result was a healthy, fertilized egg containing a tracking device. The tiny devices are a little like spiders, complete with eight highly flexible ‘legs’.
SpaceX is scheduled to launch the first crewed flight of its Crew Dragon capsule on May 30th at 3:22PM ET. Follow along as the crew, astronauts Bob Behnken and Doug Hurley, suit up and board their capsule as the clock counts down to their liftoff.
Summary: Exposure to anesthesia causes lipid clusters to move from an ordered state to a disordered one, then back again. These changes lead to subsequent effects that cause changes in consciousness.
Source: Scripps Research Institute
Surgery would be inconceivable without general anesthesia, so it may come as a surprise that despite its 175-year history of medical use, doctors and scientists have been unable to explain how anesthetics temporarily render patients unconscious.
