Generally, default builds of popular deep learning frameworks like TensorFlow are not fully optimized for training and inference on CPU. To solve this issue, Intel has open-sourced framework optimizations for Intel Xeon processors. Microsoft recently announced a partnership with Intel to bring optimized deep learning frameworks to Azure. These optimizations are available on the Azure marketplace in the name of Intel Optimized Data Science VM for Linux (Ubuntu). These optimizations leverage the Intel Advanced Vector Extensions 512 (Intel AVX-512) and Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) to accelerate training and inference on Intel Xeon Processors.

Security camera ownership is on the rise worldwide -- Global Market Insights predicts that the IP camera market will cross $20 billion in revenue by 2024, driven by a 20 percent uptick in unit shipments. And those cameras will generate lots of footage, predictably. That's why most -- as much as 95 percent, some estimate -- surveillance footage today goes unreviewed. San Jose startup Vintra hopes to change that with an AI toolset capable of analyzing frames from any source. It today announced that it's raised $4.8 million from Bonfire Ventures, Vertex Ventures and London Venture Partners, and other investors, which CEO Brent Boekestein says will be used to acquire new customers and expand its product offerings. "Every year, billions of dollars in time and resources are spent on security personnel to monitor live streams as well as post-event investigations by law enforcement and analysts," Boekestein, who was previously vice president of sales and business development at Redwood Systems, said.

The report presents an in-depth assessment of the Deep Learning including enabling technologies, key trends, market drivers, challenges, standardization, regulatory landscape, deployment models, operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents forecasts for Deep Learning investments from 2019 till 2025. The global Deep Learning market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of 31.2% during 2019-2025. The report presents the market competitive landscape and a corresponding detailed analysis of the major vendor/key players in the market. For comprehensive understanding of market dynamics, the global Deep Learning Market is analysed across key geographies namely: United States, China, Europe, Japan, South-east Asia, India and others.

Microsoft has announced a new initiative that will see more than 3 million Brazilian students getting trained in themes around artificial intelligence (AI). During the Microsoft AI Tour event in São Paulo, the firm's chief executive Satya Nadella announced the pro-bono partnership with school networks SESI and SENAI to offer AI training in high school courses. During the announcement, Nadella pointed out that governments should accelerate the adoption of automation but create new capabilities at the same time. "We have a tremendous opportunity to generate advances in digital technologies – and specifically in AI – to empower each person and each organization in Brazil to achieve more," Nadella told delegates at the event on Tuesday (12). Four courses are available through the school network's online platform, covering the introduction to AI and data science, data science fundamentals development of solutions using Azure, Bot and IoT.

Google now checks for security breaches even after a user has logged in. Last year, Microsoft Corp's Azure security team detected suspicious activity in the cloud computing usage of a large retailer: One of the company's administrators, who usually logs on from New York, was trying to gain entry from Romania. A hacker had broken in. Microsoft quickly alerted its customer, and the attack was foiled before the intruder got too far. Inc and various start-ups are moving away from solely using older "rules-based" technology designed to respond to specific kinds of intrusion and deploying machine-learning algorithms that crunch massive amounts of data on logins, behaviour and previous attacks to ferret out and stop hackers.