Artificial Intelligence and its impacts are consistently misunderstood as automation, but the future of AI is the augmentation of human endeavours. David Benigson was named to Forbes' 30 Under 30 Europe list for 2017, pinpointing leaders who are changing their industries. He founded his startup Signal in 2013 with a simple mission: to use cutting-edge artificial intelligence to cut through the ever-increasing volume of information noise. Led by him, Signal has won numerous awards including, KTP Best Partnership 2015, Bloomberg Business Innovators 2016 and New Business of The Year at the 2017 National Business Awards. Signal uses artificial intelligence to monitor millions of new sources and deliver hyper-relevant news and niche stories to executives in real-time.

NEW DELHI: Researchers at the Indian Institute of Technology (IIT) Madras are working on two projects that use artificial intelligence and data analytics to improve learning outcomes for students. They are analysing data from open-access learning portal NPTEL (National Programme on Technology Enhanced Learning) in order to reduce dropouts and improve understanding. NPTEL is a platform where teachers from the IITs put up videos on subjects generally related to engineering and science. Students can view them and get certifications for the courses they complete, at a nominal fee of Rs 1,000. In fact, engineering colleges have been mandated by AICTE (All India Council for Technical Education), the apex body for technical education in India, to cover 15-20% of their undergraduate syllabus through NPTEL.

The Artificial Intelligence in Digital Marketing report additional predicts the dimensions and valuation of the global industry throughout the forecast amount. The Artificial Intelligence in Digital Marketing Market report examines the economic status and prognosis of worldwide and major regions, in the prospect of all players, types and end-user application/industries; this report examines the most notable players in major and global regions, also divides this market by segments and applications/end businesses.

Boston Dynamics has been looking for ways to put its robots to work, but it turns out they've already seen some service. Radio station WBUR and the ACLU have learned that the Massachusetts State Police bomb squad leased Boston Dynamics' Spot robot between August and November. While the document didn't elaborate on the role the bot would serve, a spokesperson said it was used as a "mobile remote observation device" to keep watch over suspicious devices and dangerous locations. The machine saw use in two real-world incidents in addition to training, the police said. It's not clear how autonomous Spot was, but the police said they didn't customize the robot canine's software or weaponize it.

In startup world these days, the word "biotech" is increasingly accompanied by "computational" and two, two-letter initialisms: AI and ML. Those tools--artificial intelligence and machine learning, respectively--have been around for decades, but in recent years have become faster and cheaper, accelerating their use by those in the business of discovering and developing new drugs. Another startup looking to take advantage of those improvements, South San Francisco-based Genesis Therapeutics, has scored $4.1 million in seed funding and publicly joined the growing fray of biotechs with grand ambitions of disrupting the slow, costly process of discovering and developing new medicines. Andreessen Horowitz, also known as a16z, led its seed round, one of a handful of seed-stage investments it has made in biotech. Felicis Ventures, another VC firm based in Silicon Valley, also invested.

This op-ed was originally published in Newsweek on November 20, 2019. At least to some extent in last Wednesday's Democratic debate, and more so in the earlier ones, candidates have offered soundbites touting crowd-pleasing "silver bullet" proposals to raise earnings and reduce inequality among US workers. To improve workers' skills, Bernie Sanders and Elizabeth Warren call for free college for all. To raise wages, many call for a rapid increase in the federal minimum wage to $15 an hour as well as resurgent unionism. And Andrew Yang continues to call for "universal basic income" in response to potentially large-scale job displacement from automation.

Amazon announced a new capability today called Amazon Rekognition Custom Labels to help customers train machine learning models to understand a set of objects when there is a limited set of information. Typically, machine learning models have to work on large data sets to learn something like what's a picture of a dog, as opposed to some other animals. Amazon Rekognition Custom Labels can work with a limited data set to teach the algorithm a group of objects specific to a given use case. "Instead of having to train a model from scratch, which requires specialized machine learning expertise and millions of high-quality labeled images, customers can now use Amazon Rekognition Custom Labels to achieve state-of-the-art performance for their unique image analysis needs," the company wrote in a blog post announcing the new feature. For example, you may want to teach the model to identify a set of engine parts, a limited set of information, which has a lot of meaning to a specific use case.

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As part of Stanford's ongoing 100-year study on artificial intelligence, known as the AI100, two workshops recently considered the issues of care technologies and predictive modeling to inform the future development of AI technologies. A Stanford-led artificial intelligence index called the AI100 periodically assesses the state of AI technology and makes predictions for the next century. "We are now seeing a particular emphasis on the humanities and how they interact with AI," said Russ Altman, Stanford professor of engineering and the faculty director of the AI100. The AI100 is project of the Stanford Institute for Human-Centered Artificial Intelligence. After the first meeting of the AI100, the group planned to reconvene every five years to discuss the status of the AI industry.

'We Care For The Planet' is what the Indian Government's first slide in their presentation regarding the initiatives they started on clean energy mentioned. Adhering to what the Government stated, India stands at #4 globally in wind power installed, #6 globally in solar power installed, and #5 globally in total renewable power installed. But, India, along with its renewable energy plans, intends to integrate Artificial Intelligence to speed up its clean energy initiative. Many tech companies are investing in cleantech startups to empower people in harnessing renewable energy through their AI-based services. It looks like India's vision for reaching the renewable energy capacity of 175GW is within reach.