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) …
Google announced today that its Cloud Video Intelligence API is generally available, along with a new Content Classification feature for its Cloud Natural Language API. The updates are aimed at giving customers new capabilities for making their applications smarter using prebuilt machine learning systems. As their names imply, the two services are designed to provide developers with tools that they can use to make applications understand the content of videos and text. That, in turn, is supposed to help with the creation of more intelligent apps that would have previously been the domain of the tech titans. In addition to becoming generally available, the Cloud Video Intelligence API can now be used to transcribe the contents of video fed into it, along with its existing support for detecting objects within footage, spotting shot changes in a single video, and spotting explicit content in footage.
POINT ROBERTS, WA--(Marketwired - November 20, 2017) - Investorideas.com, a global news source covering leading sectors including artificial Intelligence and robotics issues a sector snapshot and video showcasing companies using the technology, including Amazon.com, Apple co-founder Steve Wozniak also discusses the history and future of AI at Money20/20 and how he views the current state of the technology including self-driving cars (Tesla Motors). According to CBinsights.com over $15B has been poured into AI companies in the last 5 years. All the big companies are investing in AI and machine learning technology as a path to the future; Apple, Google, IBM, Intel, Microsoft, NVidia, Qualcomm, Tesla Motors, Square and Amazon are amid an ever-growing list of players. Research and Markets says "The global artificial intelligence market is expected to reach USD 35,870.0 million by 2025 from its direct revenue sources, growing at a CAGR of 57.2% from 2017 to 2025, whereas it is expected to garner around USD 58,975.4 million by 2025 from its enabled revenue arenas.
Twitter is going to use artificial intelligence and machine learning to categorize "every single tweet," CEO Jack Dorsey told investors during the company's earnings call on Thursday. In the future, Twitter wants to bring content to the top that it thinks people are going to care about most, hinting that the existing chronological timeline could see further adjustments. "We're playing a lot with better matching people with their topics and interests, what they care about within this," Dorsey said in response to a question from Colin Sebastian, a Robert W. Baird senior analyst. Sebastian praised the platform for providing information about the recent California wildfires, before asking for more information about the app's "Explore" tab. This is one of the ways Twitter has started sorting tweets based on what it thinks users care about.
Artificial intelligence has proven to be a dab hand at recognizing what's going on in photos and videos, but the datasets it's usually trained on are pretty genteel. Not so for Pornhub, which announced today that it's using machine learning to automatically catalog its videos. The site is starting small, deploying facial recognition software that will detect 10,000 individual porn stars and tag them in footage. It plans to scan all 5 million of its videos "within the next year," and then move onto more complicated territory: using the software to identify the specific categories videos belong to, like "public" and "blonde." In a press statement, Pornhub VP Corey Price said the company was joining the trend of firms using AI to "expedite antiquated processes."
TechCrunch has learned that Amazon has acquired Body Labs, a company with a stated aim of creating true-to-life 3D body models to support various b2b software applications -- such as virtually trying on clothes or photorealistic avatars for gaming. Being able to offer custom fit could give Amazon's private label fashion brands an edge, even as improving sizing predictions generally for Amazon shoppers could help drive clothes shopping across its platform and help shrink returns from clothes that don't fit. Or -- for more practical, ecommerce-related purposes -- to enable users of its Echo Show to virtually show off a fashion item they're thinking of buying by having computer vision software digitally animating it on a photorealistic body model. In some of its video demos Body Labs can be seen using person-sized scanners to generate highly accurate body models -- a technology that clearly does not scale for the kind of massive consumer purposes Amazon would be after.
If Alphabet, Amazon and Facebook (along with Berkshire Hathaway) paid shareholder dividends at the 2.37% average yield of other S&P 500 companies that do so, it would shake out another $32.2 billion for investors, according to Howard Silverblatt, senior index analyst at S&P Dow Jones Indices. How to choose a smart speaker More: Here's one way Google envisions search changing for you But don't expect these tech companies to pay a dividend anytime soon. "During the 1990s, tech didn't typically pay dividends and they drove the stock market back then," said Kim Forrest, senior equity analyst at Fort Pitt Capital. The S&P tech sector had a dividend yield of 1.36% during the third quarter, the lowest of the 11 sectors and well below the overall S&P 500 of 1.97%, according to Silverblatt.
Tesla Motors announced its bid to buy SolarCity, a solar power company where Tesla CEO Elon Musk is also the top shareholder. A preliminary investigation has begun for a fatal car crash involving a Tesla Model S.According to the National Highway Traffic Safety Administration, the electric model sedan had Autopilot mode engaged when a driver was killed. Tesla shares are lower in Wednesday's trading session after the company's shareholder meeting revealed that not every Tesla car owner will have free access to the company's Superchargers. Shares of Tesla are moving lower in after-hours trading on Wednesday after the electric car maker said it would sell more stock to raise money to ramp up production of the Model 3.
Once enabled, the new feature will stop the company's apps from collecting user data (such as photos, videos, and flight logs). Although the army did not elaborate on its memo, it's thought the decision may have been spurred by DJI's data collection. "The Army memo caused customers to express renewed concern about data security," DJI's Brendan Schulman told the Times. "[Local data mode] will provide an enhanced level of data assurance for sensitive flights," writes the company.
To set up the intercom users have to go into the settings page in the Alexa app and name the device based on the room it is in. The intercom feature can be activated by users saying'Alexa call the sitting room' or'Alexa drop in on the bedroom'. The intercom feature can be activated by users saying'Alexa call the sitting room' or'Alexa drop in on the bedroom.' MailOnline has contacted Amazon for more information on the Amazon Echo intercom feature.
BEIJING, CHINA--(Marketwired - Sep 12, 2016) - GPU Technology Conference China - NVIDIA (NASDAQ: NVDA) today unveiled the latest additions to its Pascal architecture-based deep learning platform, with new NVIDIA Tesla P4 and P40 GPU accelerators and new software that deliver massive leaps in efficiency and speed to accelerate inferencing production workloads for artificial intelligence services. It fits in any server with its small form-factor and low-power design, which starts at 50 watts, helping make it 40x more energy efficient than CPUs for inferencing in production workloads.3 A single server with a single Tesla P4 replaces 13 CPU-only servers for video inferencing workloads,4 delivering over 8x savings in total cost of ownership, including server and power costs. NVIDIA DeepStream SDK taps into the power of a Pascal server to simultaneously decode and analyze up to 93 HD video streams in real time compared with seven streams with dual CPUs.6 Integrating deep learning into video applications allows companies to offer smart, innovative video services that were previously impossible to deliver. Leap Forward for Customers NVIDIA customers are delivering increasingly more innovative AI services that require the highest compute performance.