Top 5 Deep Learning and AI Stories - September 22 2017

1. September 22, 2017 DEEP LEARNING TOP 5 Insights into the new computing model

2. DEEP LEARNING IS THE FASTEST-GROWING FIELD IN ARTIFICIAL INTELLIGENCE (AI)

3. AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE COMPANIES ADOPT DEEP LEARNING TO ACCELERATE THEIR BUSINESSES…

4. TOP 5 1. Reshaping Business with AI 2. AI is Storming through the $6.5 Trillion Healthcare Industry 3. Telcos can use AI to Increase Capital Efficiency and Reduce Operational Expenses 4. The Chip Industry is Changing Rapidly to Meet AI Demands 5. AI can be used to Negotiate Deals

5. 1 RESHAPING BUSINESS WITH AI MIT Sloan Management Review has partnered with The Boston Consulting Group to provide baseline information on the strategies used by companies leading in AI, the prospects for its growth, and the steps executives need to take to develop a strategy for their business: “Our research reveals large gaps between today’s leaders — companies that already understand and have adopted AI — and laggards. One sizeable difference is their approach to data.” READ ARTICLE Source: http://sloanreview.mit.edu/projects/reshaping-business-with-artificial-intelligence/

6. 2 AI IS STORMING THROUGH THE $6.5 TRILLION HEALTHCARE INDUSTRY MICCAI 2017 brought together some of the world’s best biomedical scientist, engineers and clinicians, and AI became a central theme for the medical imaging conference. “One sure sign of this: the number of AI-focused papers submitted by the health research community is surging. Of the 800 manuscripts submitted at MICCAI, 60 percent are focused on machine learning. And of those papers, 80 percent use deep learning” READ ARTICLE Source : https://blogs.nvidia.com/blog/2017/09/11/medical-imaging-at-miccai/

7. 3 TELCOS CAN USE AI TO INCREASE CAPITAL EFFICIENCY AND REDUCE OPERATIONAL EXPENSES AI has the potential to fundamentally redesign how Telcos operate, shares Soma Valayutham, Global Head of AI & Deep Learning for Telecom at NVIDIA. “Mobile operators can use AI to change the way networks are planned, deployed and operated to increase capital efficiency and reduce operational expenses. We are seeing organizations use AI-based network planning and optimization and AI-based network performance and network quality management. Many are also seeing great success with AI for subscriber analytics and campaign management.” READ ARTICLE Source: https://www.pexels.com/search/artificial%20intelligence/; https://www.mobileworldlive.com/latest-stories/nvidia-claims-ai-potential-is-anything-but-artificial/

8. 4 THE CHIP INDUSTRY IS CHANGING RAPIDLY TO MEET AI DEMANDS This New York Times article describes how new technologies are testing the limits of semiconductors, but GPUs will help: “GPUs are the primary vehicles that companies use to teach their neural networks a particular task, but that is only part of the process. Once a neural network is trained for a task, it must perform it, and that requires a different kind of computing power…the tech landscape is changing rapidly, and Nvidia is at the heart of that change.” READ ARTICLE Source: https://www.nytimes.com/2017/09/16/technology/chips-off-the-old-block-computers-are-taking-design-cues-from-human-brains.html

9. 5 AI CAN BE USED TO NEGOTIATE DEALS Tim Baarslag, computer scientist at Centrum Wiskunde & Informatica in Amsterdam, spoke on how AI could negotiate deals for humans: “Humans often fail to reach the best agreements where computers can. On top of that, computer negotiation can be done very fast. Autonomous negotiators could be used in haggling at a marketplace, buying a house, setting a meeting, or solving political gridlock when parties need to negotiate a very complex deal.” READ BLOG Source: http://www.sciencemag.org/news/2017/09/how-artificial-intelligence-could-negotiate-better-deals-humans

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