If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. NASA's OSIRIS-REx spacecraft made its historic touchdown on asteroid Bennu Tuesday, retrieving a sample from the space rock that will be returned to Earth. OSIRIS-REx reached the surface of Bennu at 6:11 p.m. EDT in a mission that NASA says will help unlock the secrets of the solar system. The "tag" or sample collection, was complete at 6:11 p.m. EDT and the spacecraft left the asteroid's surface.
With the unveiling of its latest autonomous test vehicle, Ford believes it's one step closer to offering a commercial self-driving car service (via NBC News). In a new Medium post, the automaker detailed its fourth-generation autonomous test vehicle, claiming in the process that it includes all the technologies the company needs for commercialization. "With our fourth-generation test vehicle, we have everything we need from a vehicle to stand up our self-driving service," the company said. And, we look forward to telling you more about how this service will ultimately help make people's lives better." As for the vehicle itself, it builds on the company's Escape SUV, instead of the Fusion sedan Ford had used for its previous generation testbeds.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A deepfake bot has used artificial intelligence to "undress" images of women on the messaging app Telegram, according to new research. Security specialist Sensity announced the research Tuesday, noting that the bot lets users "photo-realistically'strip naked' images of women." Deepfakes use artificial intelligence (AI) and machine learning to create false, but realistic-looking clips.
Google has discontinued its Nest Secure Alarm System, though it will continue to support it for existing customers. As Android Police first reported, the bundle's listing on the Google Store now says "No longer available." It first arrived in 2017 and included several products: an "all-in-one security base" called Nest Guard with an alarm, keypad, and motion sensor; a separate sensor called Nest Detect that could be placed on a window or door to keep tabs on whether it's open or closed, along with the motion in a room; and Nest Tag, a fob that attached to your keychain, letting you arm and disarm the alarm system without a passcode. In PCMag's review, we concluded that Nest Secure was "a good, albeit pricey, choice for homeowners who have already invested in the Nest ecosystem with devices like the Learning Thermostat, Protect smoke alarm, and one or more Nest Cams." The product received a 3.5 rating, getting dinged on price ($399), the lack of support for Amazon Alexa and IFTTT, and the inability to trigger other devices. Last year, Nest Secure gained access to Google Assistant, but Assistant requires a microphone to work, and Google never disclosed that Nest Secure had one built-in to the Nest Guard.
There are few bigger targets for cyber criminals than credit card companies. Which is why the U.S. alone had over 270,000 reports of credit card fraud in 2019, double the 2017 rate. So what's a credit card company to do? Use artificial intelligence to sniff out fraud and block it. "We believe at American Express that we have the world's largest and most advanced machine learning system in the financial services industry," American Express' VP of risk management Anjali Dewan told me recently on the TechFirst podcast. "And these models are ... monitoring 100% of these transactions and returning 8 billion credit and fraud risk decisions in real time."
I've originally published this article here. In a previous post, I described why Artificial Intelligence (AI) is necessary for businesses and legal professionals who are reviewing legal documents. More people are relying on powerful Machine Learning models to streamline the document review process and make decisions in a fraction of the time. At SpeedLegal, we believe in products that are easy to use and accessible to everyone. Our motto is Answers to your legal concerns need to be two clicks away.
The new solution is geared towards cutting through red tape and paperwork for borrowers and lenders. Google has announced the launch of Lending DocAI, a dedicated artificial intelligence (AI) service for the mortgage industry. On Monday, Google Product Manager Sudheera Vanguri said the new solution, now in preview, has been designed to transform unstructured datasets into accurate models able to speed up loan applications by accurately assessing a borrower's income and assets. To streamline the loan application process, dubbed "notoriously slow and complex" by Vanguri, Lending DocAI has been built with AI models that specialize in document types related to loans and is able to automate "routine" document reviews so mortgage providers don't have to. The executive says that in turn, this will speed up the mortgage and loan application workflows, including the processing of loan sources and mortgage services.
The next generation of high-performance, low-power computer systems might be inspired by the brain. However, as designers move away from conventional computer technology towards brain-inspired (neuromorphic) systems, they must also move away from the established formal hierarchy that underpins conventional machines -- that is, the abstract framework that broadly defines how software is processed by a digital computer and converted into operations that run on the machine's hardware. This hierarchy has helped enable the rapid growth in computer performance. Writing in Nature, Zhang et al.1 define a new hierarchy that formalizes the requirements of algorithms and their implementation on a range of neuromorphic systems, thereby laying the foundations for a structured approach to research in which algorithms and hardware for brain-inspired computers can be designed separately. The performance of conventional digital computers has improved over the past 50 years in accordance with Moore's law, which states that technical advances will enable integrated circuits (microchips) to double their resources approximately every 18–24 months.
South Korea has set itself the ambitious national target of developing 50 types of AI chips within the next decade. The country's ICT ministry made the announcement this week as South Korea positions itself to move beyond its historic foothold in memory chips into artificial intelligence semiconductors. South Korea is investing heavily in AI; especially in the hardware which makes it possible. Around one trillion won ($871 million) will be spent on developing next-generation AI chips before 2029. The current plan is to be in a position to produce AI chips nationally by 2022 and build a 3,000-strong army of experts within the decade.