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) …
The 2022 Ford Maverick pickup has been revealed with a standard hybrid powertrain and a starting price of $19,995. Fox News Autos Editor Gary Gastelu visited Ford's Michigan Proving Ground to get an up close look. Ford Motor Co. and a self-driving vehicle company it partly owns will join with the Lyft ride-hailing service to offer autonomous rides on the Lyft network. The service using Ford vehicles and a driving system developed by Pittsburgh-based Argo AI will begin in Miami later this year and start in Austin, Texas, in 2022. It will start with human backup drivers and go fully autonomous at an unspecified date.
In a recent demo conducted over Zoom, I watched as the music composition app Dynascore transformed the entire emotional tenor of a short video multiple times in under a minute, all without altering a single frame of the visuals. What began in my short briefing as a very serious workout ad with a very serious soundtrack--something where you'd expect to see neon sweat pouring out of the athlete's head behind a Gatorade logo--quickly changed in tone to something a bit funnier. The machine intelligence engine inside Dynascore swapped out the action film theme music for Beethoven's somber Moonlight Sonata, suddenly transforming the video into a dark comedy. A few taps of the mouse on the other end of the Zoom window, a few seconds of rendering, and I was watching the same video with a modern pop song now layered over it, equally form-fitting to the burly close-ups on screen. This time, the result felt more like a music video.
The ride-hailing giant Uber is currently present in 10K cities across 71 countries, and its platform is used by 93 million customers and 3.5 million drivers globally. Every quarter, the ride-hailing platform completes nearly 1.44 billion trips. However, as a result of a global pandemic and travel restrictions, the total number of quarterly Uber trips decreased by 24.21% in 2020. "At Uber, we have witnessed a significant increase in ML adoption across various organisations and use-cases over the last few years," said the company in its latest blog post co-authored by Yi Zhang, Joseph Wang, Jia Li, and Yunfeng Bai. The blog further highlighted various pain points, alongside explaining the solution implementation of continuous integration (CI) and continuous deployment (CD) of machine learning models as a solution.
The Future of Everything covers the innovation and technology transforming the way we live, work and play, with monthly issues on health, money, cities and more. This month is Artificial Intelligence, online starting July 2 and in the paper on July 9. Facial-recognition systems, long touted as a quick and dependable way to identify everyone from employees to hotel guests, are in the crosshairs of fraudsters. For years, researchers have warned about the technology's vulnerabilities, but recent schemes have confirmed their fears--and underscored the difficult but necessary task of improving the systems. In the past year, thousands of people in the U.S. have tried to trick facial identification verification to fraudulently claim unemployment benefits from state workforce agencies, according to identity verification firm ID.me Inc. The company, which uses facial-recognition software to help verify individuals on behalf of 26 U.S. states, says that between June 2020 and January 2021 it found more than 80,000 attempts to fool the selfie step in government ID matchups among the agencies it worked with.
The robot revolution is always allegedly just around the corner. In the utopian vision, technology emancipates human labor from repetitive, mundane tasks, freeing us to be more productive and take on more fulfilling work. In the dystopian vision, robots come for everyone's jobs, put millions and millions of people out of work, and throw the economy into chaos. Such a warning was at the crux of Andrew Yang's ill-fated presidential campaign, helping propel his case for universal basic income that he argued would become necessary when automation left so many workers out. It's the argument many corporate executives make whenever there's a suggestion they might have to raise wages: $15 an hour will just mean machines taking your order at McDonald's instead of people, they say. But we often spend so much time talking about the potential for robots to take our jobs that we fail to look at how they are already changing them -- sometimes for the better, but sometimes not.
Are you a Data Science aspirant and looking forward to some challenging and real-time Data Science projects? Then you are at the right place to gain mastery in the field of Data Science. In this article, we will discuss the best Data Science projects that will boost your knowledge, skills and your Data Science career too!! These real-world Data Science projects with source code offer you a propitious way to gain hands-on experience and start your journey with your dream Data Science job. Now let's quickly jump to our best Data Science project examples with source code.
Waabi is a new autonomous vehicle startup with a few things going for it to help it rise above the fray. For one, it's founded by Raquel Urtasun, a renowned expert in computer vision who ran Uber Advanced Technology Group's Toronto outpost, making it one of the few women-led AV startups in the world. Second, the Toronto-based company just came out of stealth having raised $83.5 million, which is among the largest Series A rounds ever raised in Canada. The round was led by Khosla Ventures, with additional participation from Urtasun's former employer, Uber, and Aurora, the AV startup that ended up acquiring Uber ATG in a deal last year. Funding was also raised from 8VC, Radical Ventures, Omers Ventures, BDC, AI luminaries Geoffrey Hinton, Fei-Fei Li, Pieter Abbeel, Sanja Fidler, and others.
"Microsoft's cloud boss says the company doesn't want to compete with doctors." This statement is coming as Microsoft and other Cloud providers are making their way into the healthcare space. Microsoft recently announced the acquisition of a speech recognition company that doctors use to keep notes on meetings with patients. The move will provide Microsoft an expanded Cloud offering and, perhaps incidentally, access to lots and lots of data when it comes to healthcare and diagnosis. Like any knowledge-based industry, doctors should be wary of the long-term impacts of artificial intelligence on their industry.