Top 5 Deep Learning and AI Stories - August 31, 2018

1. August 31, 2018 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. Microsoft Azure now supports NVIDIA GPU Cloud for AI, HPC workloads 2. Pinterest uses AI to enhance its recommendations system 3. J ohns Hopkins researchers use deep learning to combat pancreatic cancer 4. MIT researchers are training neural networks on videos to separate sounds from each other 5. AI bots are now designing chairs –and they’re surprisingly good

5. 1 MICROSOFT AZURE NOW SUPPORTS NVIDIA GPU CLOUD FOR AI, HPC WORKLOADS Microsoft has added a new level of support for NVIDIA GPU projects to Azure, which may benefit those running deep- learning and other high performance computing (HPC) workloads. The pair are touting availability of pre- configured containers with GPU-accelerated software as helping data scientists, developers and researchers circumvent a number of integration and testing steps before running their HPC tasks. READ ARTICLE Source: https://www.zdnet.com/article/microsoft-azure-now-supports-nvidia-gpu-cloud-for-ai-hpc-workloads/

6. 2 PINTEREST USES AI TO ENHANCE ITS RECOMMENDATIONS SYSTEM Developers from Pinterest, along with collaborators from Stanford University, recently announced PinSage, an advanced recommendation deep learning-based framework used for ad and shopping recommendations within the social network. “As the number of people using Pinterest grows beyond 200M+ MAU, and the number of objects saved has crossed 100B, we must continuously build technology to not only keep up but make recommendations smarter,” Ruining He, a Pinterest engineer stated in a blog post. LEARN MORE Source: https://news.developer.nvidia.com/pinterest-uses-ai-to-enhance-its-recommendations-system/

7. 3 J OHNS HOPKINS RESEARCHERS USE DEEP LEARNING TO COMBAT PANCREATIC CANCER Only 7 percent of patients live five years after diagnosis of pancreatic cancer, the lowest rate for any cancer, according to the American Cancer Society. Elliot K. Fishman, MD, a researcher and radiologist at J ohns Hopkins, is on the forefront of trying to change this statistic, and he's using artificial intelligence to do it. Early detection is key to treatment, and with AI-enabled detection methods nearly a third of pancreatic cancer cases could be found four to 12 months sooner, they say. READ ARTICLE Source: https://www.healthcareitnews.com/news/johns-hopkins-researchers-use-deep-learning-combat-pancreatic-cancer

8. 4 MIT RESEARCHERS TRAIN NEURAL NETWORKS ON MUSIC VIDEOS TO SEPARATE SOUNDS FROM EACH OTHER MIT researchers are training neural networks using music videos to better pinpoint sound sources. The team’s deep learning system “learns directly from a lot of unlabeled YouTube videos, and it gets to know which objects make what kinds of sounds,” said Hang Zhao, an MIT researcher and former NVIDIA Research intern. It’s work that Zhao describes as groundbreaking, and it has wide-ranging applications in speech, audiology, music and robotics. READ MORE Source: https://blogs.nvidia.com/blog/2018/08/28/music-youtube-cocktail-party-problem-ai-artificial-intelligence-deep-learning/

9. 5 THESE CHAIRS WERE DESIGNED BY AN AI BOT –AND THEY’RE SURPRISINGLY GOOD Designers Philipp Schmitt and Steffen Weiss set out to see if a set of neural networks could measure up to the creative mystique of a famous designer and create a modern “design classic.” It’s an exercise that provokes many questions on what we value and define as “good design,” that very human blend of innovation, function, and artistry. Could a bot produce an object as symbolically rich as a chair, and with the aesthetic proficiency of an Eames or Breuer design? It’s 2018, so we don’t have to wonder. READ ARTICLE Source: https://www.fastcompany.com/90228357/these-chairs-were-designed-by-an-ai-bot-and-theyre-surprisingly-good

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