New Delhi, 23rd February 2018: Lymbyc announced as winner in “Data Science” category for their innovation “Lymbyc – Your Virtual data analyst” at Aegis Graham Bell Award 2017, honoring the best innovation in the ICT domain in India. Lymbyc has been applauded as winner at the 8th edition of Aegis Graham Bell Award at NDMC […]
New Delhi, 23rd February 2018: Subex announced as winner in “Data Science” category for their innovation “ROC Insights” at Aegis Graham Bell Award 2017, honoring the best innovation in the ICT domain in India. Subex has been applauded as winner at the 8th edition of Aegis Graham Bell Award at NDMC Convention Center, New Delhi. […]
Machine learning continues to expand and grow worldwide. CES 2018 provided excellent insight on the trends within the emerging technology.
Sourced through Scoop.it from: crescentvale.com
Over the past year, it’s become pretty clear that machines can now beat us in many straightforward zero-sum games. A new study from an international team of computer scientists set out to develop a new type of game-playing algorithm – one that can play games that rely on traits like cooperation and compromise – and the researchers have found that machines can already deploy those characteristics better than humans.
Chess, Go and Poker are all adversarial games where two or more players are in conflict with each other. Games such as these offer clear milestones to gauge the progress of AI development, allowing humans to be pitted against computers with a tangible winner. But many real-world scenarios that AI will ultimately operate in require more complex, cooperative long term relationships between humans and machines.
“The end goal is that we understand the mathematics behind cooperation with people and what attributes artificial intelligence needs to develop social skills,” says lead author on the new study Jacob Crandall. “AI needs to be able to respond to us and articulate what it’s doing. It has to be able to interact with other people.”
Sourced through Scoop.it from: newatlas.com
Read a short opinion on what the impact of machine learning researchers focusing on deep learning will be.
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Machine learning – learn what it is, how to keep up, and what areas you need to improve to have a shot at staying in front of your current and
Sourced through Scoop.it from: www.semrush.com
Big Data, as we all know, can now seen to be streaming into businesses as well as all over the Internet from various data sources may it be sensors, social media data, reviews, customer data, or even more. Many big recognized companies like Google, IBM, Microsoft and Amazon have a hand in helping businesses process big data by building Machine Learning APIs so that they can in return make the best optimum use of the machine learning technology.
Sourced through Scoop.it from: www.techleer.com
Nvidia is the world’s smartest company in 2017. That’s according to the recently published MIT Technology Review’s annual listing of the 50 smartest companies, which surveys both small and large companies based on their ability to innovate and execute.
Sourced through Scoop.it from: www.forbes.com
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.
Sourced through Scoop.it from: news.mit.edu
Poachers are killing people so they can kill elephants. The Arctic National Wildlife Refuge is now open to oil drillers. Are humans bad for Earth?
Sourced through Scoop.it from: www.latimes.com