SPE
The MIT Press
A fascinating account, written in real time, of the unfolding of a scientific discovery: the first detection of gravitational waves. Why our brains aren't built for media multitasking, and how we can learn to live with technology in a more balanced way. An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. A more powerful innovation, which seeks to discover not how things work but why we need things. The new edition of a textbook that combines economic concepts with empirical evidence, updated with material on the Affordable Care Act and other developments.
Remote, I Want Control - The Economic Times
VERY soon, you may be able to keep a close watch on your home while you------re miles away. And this time, it------s not just about physical changes, say when a person falls or leaves the gas on. This is about technology that will discern and react to the non-physical aspects, say loneliness and fear, in conjunction with the physical aspects. The ultimate goal is to detect changes in behaviour, such as sudden mood swings or a lessening of the ability to comprehend. They represent telltale signs of potential problems, and early detection may allow the problem to be corrected before it spins out of control.
DMOZ - Computers: Artificial Intelligence: Companies
Includes profile, demo downloads, and job openings. Developer of software systems that solve resource optimization, planning, scheduling, and deployment problems for the air transportation, gaming, healthcare, hospitality, and security industries. Source for neural network based data modeling, prediction, forecasting and optimization solutions. Areas of focus includes: Banking and Finance, Manufacturing, Marketing, Medical. Uses artificial-intelligence technologies to prevent fraud in transaction environments such as finance, e-commerce, telecommunications, and insurance.
An AI Law Firm Wants to 'Automate the Entire Legal World'
Whether it's a new employment contract, a rental contract, or sale contract, it needs to be checked before signing. Everyone knows the struggle of working through the dreaded small print, searching for pitfalls hidden in the tiniest details, and trying to make sense out of the bizarre language of law. In fairness to the layman, contract review is also a hustle for lawyers themselves. In 2014, commercial lawyer Noory Bechor got sick of the fact that 80 percent of his work was spent reviewing contracts. He figured the service could be done much cheaper, faster, and more accurately by a computer.
Venture Investing In Artificial Intelligence -- Q1 2017
The following graphs highlight venture investing trends into the Artificial Intelligence (AI) sector. The graphics include data through October 2016. The above graph compares the total venture funding in each AI category to the number of companies in the category. The Machine Learning Applications category leads the sector in both metrics, with around $3.5B in total funding and 425 startups. The Smart Robots category leads the sector with around $22M in average funding per company.
China Just Showed Us the Most Human-Like Robots Yet
Robots are rapidly becoming more and more lifelike and unrecognizable from humans. Eerily human-like robots built by China's University of Science and Technology stole the show over at the World Robot Conference in Beijing last week. You may have already seen Jia Jia, a super realistic robot capable of micro facial expressions and basic conversation with humans. Jia Jia can also recognize faces, identify your gender and age, and detect your facial expressions. But a newcomer robot also made a debut: the university unveiled a male robot that can accurately paint calligraphy.
Cleaning up messy data at the intersection of machine learning and healthcare #WiDS2017 - SiliconANGLE
There are two fields with seemingly endless career opportunities: healthcare and computer science. And when medical care intersects with technology, the possibilities are life changing. Machine learning introduces new insights to healthcare professionals through compiling big data to improve the way doctors and clinicians can diagnose, treat and even predict outcomes for their patients, according to Finale Doshi-Velez (pictured), assistant professor of Computer Science at Harvard's John A. Paulson School of Engineering and Applied Sciences. Doshi-Velez is on the front lines of educating and researching tangible ways to improve mental health through machine learning. She is working with students in several areas, but her focus is on machine learning for healthcare applications focused on dissecting the autism spectrum and helping to alleviate depression. Doshi-Velez spoke with Lisa Martin (@Luccazara), co-host of theCUBE, SiliconANGLE Media's mobile live streaming studio, at the Stanford Global Women in Data Science (WiDS) Conference in Stanford, CA, about her work in these developing fields and how she is preparing the next generation by teaching students the emerging skills they will need in a new workplace.
AI isn't just for the good guys anymore
Last summer at the Black Hat cybersecurity conference, the DARPA Cyber Grand Challenge pitted automated systems against one another, trying to find weaknesses in the others' code and exploit them. "This is a great example of how easily machines can find and exploit new vulnerabilities, something we'll likely see increase and become more sophisticated over time," said David Gibson, vice president of strategy and market development at Varonis Systems. His company hasn't seen any examples of hackers leveraging artificial intelligence technology or machine learning, but nobody adopts new technologies faster than the sin and hacking industries, he said. "So it's safe to assume that hackers are already using AI for their evil purposes," he said. "It has never been easier for white hats and black hats to obtain and learn the tools of the machine learning trade," said Don Maclean, chief cybersecurity technologist at DLT Solutions.
Incuspaze launches co-working space in Gurgaon, to incubate AI, IoT startups Techcircle.in - India startups, internet, mobile, e-commerce, software, online businesses, technology, venture capital, angel, seed funding
Incuspaze, a Gurgaon-based co-working and incubation centre, will launch an incubation programme for startups in artificial intelligence, machine learning, IoT and big data, the company said in a statement on Monday. The 6,000 sq ft centre was launched by UK-based angel investor Sanjay Choudhary last week. Incuspaze will invest between Rs 1 -5 lakh in five to six startups in its batch, and will also offer parallel services such as marketing, accounting and legal. "We are building a global self-sustainable ecosystem for startups and entrepreneurs. We are not only providing a co-working space, but also investor support, mentoring, allied services, global partnerships and to ensure peak performance for all startup founders," said Choudhary in the statement. Choudhary said Incuspaze will enable startups to accelerate product/service development by implementing lean startup methodologies through calculated risk-taking.
Machine Learning Gains Momentum in MSP Space
Broad adoption of powerful cloud computing has unleashed innovation in artificial intelligence technologies, and 2017 is poised to be the year that AI and machine learning applications make their way into the hands of the general public. For those in IT and – more specifically – the managed services space, tools driven by AI are increasingly popping up in everything from customer service and security, to CRM and remote monitoring and management. Machine learning can have a particular impact for IT tech services firms, where increased efficiency can translate directly into more revenue falling to the bottom line. "There is an absolute revolution occurring in artificial intelligence," John Ball, general manager of Salesforce Einstein, told Bloomberg when that AI product launched in September. Machine learning, which represents one type of artificial intelligence, is joined at the hip with big data.