A software named Data selfie revealed how Facebook Artificial Intelligence uses your social media activity to track all your personal details in order to keep feeding you with alluring content. This open-source Google chrome extension is available for free and tells you how Social media platforms such as Facebook uses the machine learning and Artificial Intelligence to know your personality. The extension first tracks all your Facebook activity to gather all the required information and crunches the collected data into an analytical report. Data Selfie keeps a record of all your Facebook browsing activities including what you watch, how long you watched, what you look more than once, what you type, with whom you have interacted and much more.
The U.S. Department of Energy will explore whether artificial intelligence could help electric grids handle power fluctuations, avoid failures, resist damage, and recover faster from major storms, cyberattacks, solar flares and other disruptions. GRIP is the first project to use artificial intelligence (AI) to help power grids deal with disturbances, says Sila Kiliccote, GRIP's principal investigator and director of the Grid Integration, Systems and Mobility lab at the SLAC National Accelerator Laboratory in Menlo Park, Calif. GRIP will develop algorithms to learn how power grids work by analyzing smart meter data, utility-scale SCADA (supervisory control and data acquisition) data, electric vehicle charging data, and even satellite and street-view imagery. Some of the first places the project will test its data analytics platform are Southern California Edison, a leader in smart metering, and Packetized Energy, which helps grids manage distributed energy resources.
Founded in 2007, Cortica has taken in total of funding of $69.4 million total funding to develop "the world's only unsupervised learning system capable of human level image understanding." Founded in 2012, Fortscale has taken in $39 million in total funding to develop User & Entity Behavioral Analytics (UEBA) which identifies "internal threats" to your business using machine learning algorithms. With $22 million in funding from investors that include Qualcomm and Cisco, Prospera has developed computer vision technologies that continuously monitor and analyze plant health, development and stress. We've recently written about more than 20 medical imaging startups, and one of those articles about "9 Artificial Intelligence Startups in Medical Imaging" featured Zebra Medical Vision which has taken in $20 million in funding so far and claims to have accumulated "one of the largest anonymized databases of medical imaging and clinical data available."
They're doing this with Mya, an intelligent chatbot that, much like a recruiter, interviews and evaluates job candidates. Since AI is dependent on a training set generated by a human team, it can promote bias rather than eliminating it, she adds. Grayevsky explains that Mya Systems "sets controls" over the kinds of data Mya uses to learn. This is why it's a possibility that rather than eliminating biases, AI HR tools might perpetuate them.
Intel CEO Brian Krzanich said in an op-ed Monday that the company has invested more than $1 billion in business that are advancing the field of artificial intelligence. The investments have come through the Intel Capital investment fund and include financing for a number of AI startups, including Data Robot, Mighty AI, and Lumiata. Intel is making strategic investments spanning technology, R&D and partnerships with business, government, academia and community groups. That deal closed last month and Intel is already working on a fleet of level 4 autonomous vehicles using Mobileye's computer vision, sensor fusion, mapping, machine learning, and AI technology.
The fields of machine learning and natural language processing have made leaps and bounds in recent years, but it remains incredibly difficult for a computer to recognize whether a given phrase contains hate speech. "But at the same time, if somebody had something in their profile like, 'Proud Jew, haters gonna hate,' that may be OK. Until machines can learn the difference between "Jew hater" and "Proud Jew, haters gonna hate," though, the problem of identifying and flagging hate speech can only be solved by humans–with smart machines assisting them. "Our goal is to prevent our keyword suggestions tool from making offensive suggestions, and to stop any offensive ads appearing.
MUMBAI: American technology company IBM has said that more than 1,000 Indian companies, including startups, are using the Watson Internet of Things, its data analytics and cognitive artificial-intelligence (AI) platform, to draw insights from enormous amount of data collected through sensors placed on machines and devices. IBM counts Tata Steel, Reliance Group, Tech Mahindra, Maruti-Suzuki, Mahindra & Mahindra, KPIT, Arrow Electronics, Kone, Acculi Labs, Avanijal Agri Automation and Schneider Electric India among its customers and partners. We are working with big brands, medium-sized companies and a phenomenal number of startups, particularly in agriculture and healthcare," said Harriet Green, general manager, Watson Internet of Things, customer engagement and education at IBM. IBM combines its cognitive AI platform called Watson to analyse data collected through various internetof-things (IoT) sensors placed by customers.
Developers can use Kakao I Open Builder to make services with the Kakao I Inside branding. Kakao will provide an open development tool for its AI platform Kakao I, the South Korean chat giant said, with the beta version rolling out in October. They will be able to create chat bots, create services that sync with the firm's AI speaker Kakao Mini, and make image recognition-based services, the chat giant said. The company will provide the Kakao I Inside moniker for these services created by partners and consumers, it said.
Even just five years back, Artificial Intelligence (AI) was still the stuff of science fiction, confined to research labs and tech giants' showcases. Processing power capacity, availability of representative data, development of more powerful algorithms, adaption of user interfaces, and, last but not least, a willingness to get the right policies in place. These single-chip processors were originally designed for video games but their capacity now to handle parallelization of multi-data processing means they're lending themselves to the use of complex AI algorithms and neural networks. This kind of complex machine learning though represents a big user challenge.
Between 1962 and 1970, the Beatles recorded nearly all their singles and albums at London's Abbey Road Studios using one of EMI's innovative REDD mixing consoles. "We are aware of the studio's heritage of continually tracking technology as it changed over the years," says Jon Eades, innovation manager at Abbey Road Red, the studio's technology incubator, which launched in 2015. Uberchord, an AI-powered guitar-learning app, now has licensing deals with Sony and Universal, including a collection of Beatles songs; another graduate, Tokyo-based QRATES, is the first online crowdfunding platform for artists and labels to collect pre-orders from fans to fund vinyl pressing. Abbey Road Red's latest intake includes AI Music, which has created an app called Ripple that personalises tracks for each listener.