This giant 60-foot ‘Gundam’ robot has made its first test moves — look at the size of it! 😲 🤖.
Category: robotics/AI – Page 1,730
Financial crime as a wider category of cybercrime continues to be one of the most potent of online threats, covering nefarious activities as diverse as fraud, money laundering and funding terrorism. Today, one of the startups that has been building data intelligence solutions to help combat that is announcing a fundraise to continue fueling its growth.
Ripjar, a U.K. company founded by five data scientists who previously worked together in British intelligence at the Government Communications Headquarters (GCHQ, the U.K.’s equivalent of the NSA), has raised $36.8 million (£28 million) in a Series B, money that it plans to use to continue expanding the scope of its AI platform — which it calls Labyrinth — and scaling the business.
Labyrinth, as Ripjar describes it, works with both structured and unstructured data, using natural language processing and an API-based platform that lets organizations incorporate any data source they would like to analyse and monitor for activity. It automatically and in real time checks these against other data sources like sanctions lists, politically exposed persons (PEPs) lists and transaction alerts.
People’s brainwaves have been converted into speech using electrodes on the brain. The method could one day help people speak who have lost the ability.
By Chelsea Whyte.
Electrodes on the brain have been used to translate brainwaves into words spoken by a computer – which could be useful in the future to help people who have lost the ability to speak.
When you speak, your brain sends signals from the motor cortex to the muscles in your jaw, lips and larynx to coordinate their movement and produce a sound.
Microsoft announced that it has “exclusively licensed” OpenAI’s sophisticated GPT-3 language model that can generate disturbingly human-like text in applications ranging from commercial bots to creative writing. After investing $1 billion in the San Francisco startup last year to become OpenAI’s exclusive cloud partner, Microsoft will get access to the language tech for itself and its Azure cloud customers.
OpenAI released GPT-3 just a couple of months ago to a limited group of developers, but its capabilities have already generated massive amounts of buzz. It’s the largest language model ever trained, and is capable of not just mundane tasks like auto-generating business correspondence, but also creative or technical chores like poetry, memes and computer code.
The trimmed-down pQRNN extension to Google AI’s projection attention neural network PRADO compares to BERT on text classification tasks for on-device use.
Microsoft has made several quirky and useful apps that can help you with daily problems and its new app seeks to help you with math.
Microsoft Math Solver — available on both iOS and Android — can solve various math problems including quadratic equations, calculus, and statistics. The app can also show graphs for the equation to enhance your understanding of the subject.
Family Mart’s robots will still be controlled by human employees.
Hardly a day goes by that we don’t find ourselves stopping into one of Japan’s many convenience stores to grab a bite to eat or something to drink. But while we’ve come to expect tasty onigiri rice balls and tempting dessert beverages when we walk through the door, soon we might be seeing robots.
Space robotics startup GITAI and the Japan Aerospace Exploration Agency (JAXA) are teaming up to produce the world’s first robotics demonstration in space by a private company. The new agreement under the JAXA Space Innovation through Partnership and Co-creation (J-SPARC) initiative aims to demonstrate the potential for robots to automate of the processing of specific tasks aboard the International Space Station (ISS).
Robotics is altering many aspects of our lives in many fields and one where it is particularly attractive is in the exploration and exploitation of space. Ironically, the great strides made in manned spaceflight since the first Vostok mission lifted off in 1961 have shown that not only is supporting astronauts in orbit challenging and expensive, there are also many tasks, like microgravity experiments, where the human touch isn’t the best choice.
These tasks often require complex, precise, and subtle movements that demand either a highly specialized and expensive bespoke apparatus or a robot. The GITAI/JAXA agreement will work on ways that robots can handle maintenance, scientific experiments, and other specific tasks aboard the ISS.
Software bugs are a tale as old as time — which, in the case of programming, means about 75 years. In 1947, programmer Grace Murray Hopper was working on a Mark II Computer at Harvard University when she noticed a moth that was stuck in the relay, preventing the computer program from running. It was the first “bug”, and countless others have followed since then.
In the history of programming, bugs have ranged from harmless to absolutely catastrophic. In 1986 and 1987, several patients were killed after a Therac-25 radiation therapy device malfunctioned due to an error by an inexperienced programmer, and a software bug might have also triggered one of the largest non-nuclear explosions in history, at a Soviet trans-Siberian gas pipeline.
While events such as this are rare, it’s safe to say that software bugs can do a lot of damage and waste a lot of time (and resources). According to recent analysis, the average programmer produces 70 bugs per 1,000 lines of code, with each bug demanding 30 times more time to fix than it took to write the code in the first place. In the US alone, an estimated $113 billion is spent identifying and fixing code bugs…
Zurich-based DeepCode claims that their system — essentially a tool for analyzing and improving code — is like Grammarly for programmers. The system, which uses a corpus of 250,000 rules, reads your public and private GitHub repositories and tells you how to fix problems, remain compatible and generally improve your programs.
Founded by Veselin Raychev, advisor Martin Vechev and Boris Paskalev, the team has extensive experience in machine learning and AI research. This project is a spin-off from ETH in Switzerland and is a standalone research project turned programming utility.