Intellegens has announced the latest release of its machine learning software, focused on key practical tasks to accelerate innovation for chemicals, materials, and manufacturing. Alchemite applies an Artificial Intelligence (AI) method developed at the University of Cambridge to optimise products and processes, reduce experimental workloads, and enable faster R&D progress. Ben Pellegrini, CEO at Intellegens comments: "We work closely with our chemical, materials, and manufacturing customers to focus our development work. Often, it's the small details that really make the software work in an industrial R&D environment. We're delighted that more organisations now benefit from Alchemite. Significant customer agreements so far this year have included a major steel manufacturer, world-leading speciality chemicals providers, additive manufacturing specialists, and a top global food producer."

As humans, we perceive the three-dimensional structure of the world around us with apparent ease. Think of how vivid the three-dimensional percept is when you look at a vase of flowers sitting on the table next to you. You can tell the shape and translucency of each petal through the subtle patterns of light and shading that play across its surface and effortlessly segment each flower from the background of the scene (Figure 1.1). Looking at a framed group por- trait, you can easily count (and name) all of the people in the picture and even guess at their emotions from their facial appearance. Perceptual psychologists have spent decades trying to understand how the visual system works and, even though they can devise optical illusions1 to tease apart some of its principles (Figure 1.3), a complete solution to this puzzle remains elusive (Marr 1982; Palmer 1999; Livingstone 2008).

An Alphabet (GOOGL) unit used artificial intelligence to disrupt the way new drugs are discovered. This is the best way for investors to take advantage. DeepMind announced July 28 the availability of a database of nearly all of the proteins known to science. The open source project eliminates one of the mostly costly parts of biotechnology. Investors should consider buying Ark Genomic Revolution ETF (ARKG).

Automation of the labor force was feared for a long time. In 2017, a website sprung up to answer a question long on the minds of many: Will robots take my job? The creators based it on Bureau of Labor Statistics data and a 2013 research paper from Oxford University about "the susceptibility of jobs to computerization." Things have moved quickly since; even the term "computerization" now sounds desperately out of date. If you plug "journalist" into the site's search bar, for example, the site reveals an "automation risk score" of 9 percent.

Alexa, Siri and Google Home might be making children less intelligent and socially stunted, it was claimed today. The voice-controlled devices -- popular in homes across the world -- allow users to ask questions and receive answers. But this may impede youngster's learning skills, critical thinking and empathy, says Dr Anmol Arora, a researcher at Cambridge University. Dr Anmol Arora, a researcher at Cambridge University, says this is down to the tech only offering short and concise answers to questions, inappropriate responses and being unable to give feedback on their social skills. Alexa, Siri and Google Home might be making children less intelligent and socially stunted, according to an artificial intelligence expert.

Let a million monkeys clack on a million typewriters for a million years and, the adage goes, they'll reproduce the works of Shakespeare. Give infinite monkeys infinite time, and they still will not appreciate the bard's poetic turn-of-phrase, even if they can type out the words. The same holds true for artificial intelligence (AI), according to Michael Woolridge, professor of computer science at the University of Oxford. The issue, he said, is not the processing power, but rather a lack of experience. His perspective was published on July 25 in Intelligent Computing, a Science Partner Journal.

The countdown to Britain's first ever orbital space launch is officially on. A modified Boeing 747 jet is set to arrive in the UK within weeks, as Spaceport Cornwall gears up to host the historic maiden flight on British soil. As early as next month, Virgin Orbit's Cosmic Girl plane will take off from Newquay with a 70-foot-long rocket packed full of satellites, which will then be flown to high altitude, dropped, and ignited before flying into space. It will be a momentous occasion, with the UK finally joining the space race some 70 years after the British Space Programme was established in 1952. Not only that, but it will come 50 years after a British-made rocket, Black Arrow, last reached space following its lift-off from Australia.

An operator controls a Fetch driverless car from the office of Imperium Drive, during driverless car trials, in Milton Keynes, Britain, June 8, 2022. MILTON KEYNES, England (Reuters) -Autonomous vehicle (AV) startups have raised tens of billions of dollars based on promises to develop truly self-driving cars, but industry executives and experts say remote human supervisors may be needed permanently to help robot drivers in trouble. The central premise of autonomous vehicles – that computers and artificial intelligence will dramatically reduce accidents caused by human error – has driven much of the research and investment. But there is a catch: Making robot cars that can drive more safely than people is immensely tough because self-driving software systems simply lack humans' ability to predict and assess risk quickly, especially when encountering unexpected incidents or "edge cases." "Well, my question would be, 'Why?'" said Kyle Vogt, CEO of Cruise, a unit of General Motors (NYSE:GM), when asked if he could see a point where remote human overseers should be removed from operations.

Researchers at Oxford University's Department of Computer Science, in collaboration with colleagues from the Bogazici University, Turkey, have developed a novel artificial intelligence (AI) system. 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.

Artificial Intelligence (AI) can eliminate humanity according to a recent research paper by scientists at Google and the University of Oxford. In the paper which was published in the journal AI Magazine, the team -- comprised of DeepMind senior scientist Marcus Hutter and Oxford researchers Michael Cohen and Michael Osborne -- concluded that the answer to the long-standing question of whether a super-intelligent AI may go rogue and wipe out humans was that it was "likely". "Under the conditions we have identified, our conclusion is much stronger than that of any previous publication -- an existential catastrophe is not just possible, but likely," Cohen tweeted earlier this month. Bostrom, Russell, and others have argued that advanced AI poses a threat to humanity. We reach the same conclusion in a new paper in AI Magazine, but we note a few (very plausible) assumptions on which such arguments depend.