How do you bring artificial intelligence from the cloud to the edge?


Blockchain can help IoT devices share compute resources in real-time and execute algorithms without the need for a round-trip to the cloud. Movidius' Myriad 2 vision processing unit (VPU) can be integrated into circuit boards to provide low-power computer vision and image signaling capabilities on the edge. One of the possible paths for bringing machine learning and deep learning algorithms closer to the edge is to lower their data and computation requirements. Though nothing short of general artificial intelligence will be able to rival the human brain, edge computing will enable AI applications to function in ways that are much closer to the way humans do.

Zooming in on climate predictions


"Rather than using machine learning to get people to click ads or maximize page views, I decided solving problems in climate science was a better use of my skills and time." "Rather than using machine learning to get people to click ads or maximize page views, I decided solving problems in climate science was a better use of my skills and time," Vandal said. "These downscaled datasets will be of immense value to climate researchers and eco-climatic modelers who want to study anything from the impact of ecosystems to changes in climate for future warming scenarios," said Sangram Ganguly, one of the study's co-authors and a senior research scientist at the Bay Area Environmental Research Institute at the NASA Ames Research Center. "The computer science field changes really fast," Auroop Ganguly said.

Building Intelligent IoT with Fog Computing


PaaS providers offer ready-to-use services like security, data storage, device management and big data analysis. ADS employs multiple advanced technologies: multimodal sensors, computer vision, artificial intelligence and machine learning, etc. Fog computing will be crucial, where time sensitive computer vision or AI inferencing is handled on edge processing nodes, while more long time big data analysis can be handled on the cloud. Since 2007, Nvidia has developed Compute Unified Device Architecture(CUDA) technology to exploit the power of its graphics chips in compute problems besides 3D shader processing.

Two-year-olds should learn to code, says computing pioneer

The Guardian

Dame Stephanie Shirley, whose company was one of the first to sell software in the 1960s, said that engaging very young children – in particular girls – could ignite a passion for puzzles and problem-solving long before the "male geek" stereotype took hold. "I don't think you can start too early," she said, adding that evidence suggested that the best time to introduce children to simple coding activities was between the ages of two and seven years. "Companies run by women still have extraordinary difficulty in getting venture capital," she said. Such technology is already being tested at Priors Court in Berkshire, a residential school for autistic children that Shirley founded.

Quantum Computing, AI and Solving the Impossible @ThingsExpo #AI #DX #IoT #M2M


In the blog "From Autonomous to Smart: Importance of Artificial Intelligence," we discussed the two critical artificial intelligence (AI) challenges in creating "smart" edge devices: In the blog "Reinforcement Learning to the Rescue," we talked about how Moore's Law isn't going to bail us out of because the problem space is getting more complex, even for relatively easy environments like playing checkers and chess: By the way, the commonly accepted answer for the number of particles in the observable universe is 1080. Maybe our only hope to solve these uber-complex, life-impacting analytic problems like autonomous vehicles, smart cities and precision medicine lies in a new approach – quantum computing. As an example, Google has built a quantum computer which is 100 million times faster than any of today's machines.This quantum computer could complete calculations within seconds to a problem that might take a digital computer 10,000 years to calculate. The post Quantum Computing, Artificial Intelligence (AI) and Solving the Impossible appeared first on InFocus Blog Dell EMC Services.

Amazon Has Largest A.I. Platform in the World, Its Machine Learning Guru Boasts


Amazon (AMZN) today kicked off its user conference for its AWS cloud computing service, "AWS Summit," in New York, and I stopped by the Javitz convention center where it was being held to meet with one of the keynote speakers, Matt Wood, who is the director of product management for the "deep learning" efforts within artificial intelligence at AWS. He seems especially proud of the fact that there is "tons of genomics today running on AWS, a lot of analysis happens there." In particular, he notes the increase in "inference at the edge," meaning, in client computing devices and other things that are not inside the data center. I wrapped up the conversation asking Wood what he thinks of machines making machines, meaning, machine learning being able to design new algorithms for machine learning, a kind of self-reflexive moment in A.I.

Gartner Identifies Three Megatrends That Will Drive Digital Business Into the Next Decade


Artificial intelligence (AI) everywhere, transparently immersive experiences and digital platforms are the trends that will provide unrivaled intelligence, create profoundly new experiences and offer platforms that allow organizations to connect with new business ecosystems. "In addition to the potential impact on businesses, these trends provide a significant opportunity for enterprise architecture leaders to help senior business and IT leaders respond to digital business opportunities and threats by creating signature-ready actionable and diagnostic deliverables that guide investment decisions." "When we view these themes together, we can see how the human-centric enabling technologies within transparently immersive experiences -- such as smart workspace, connected home, augmented reality, virtual reality and the growing brain-computer interface -- are becoming the edge technologies that are pulling the other trends along the Hype Cycle," said Mr. Walker. This research is part of the Gartner Trend Insight Report "2017 Hype Cycles Highlight Enterprise and Ecosystem Digital Disruptions."

Ping An set to become AI innovation giant with $136.1 billion


Chinese financial giant Ping An Insurance (Group) Co will spend more than 7.77 billion yuan (S$1.6 billion) on technology research and development this year, and artificial intelligence will be the focus of that R&D, according to a senior executive of the company. The State Council, China's Cabinet, in July issued a national artificial intelligence development plan, with a goal of making China one of the world's foremost AI innovation centres by 2030. A user can submit his documents, and with the facial recognition and voice authentication technologies provided by Ping An Technology, Ping An Group can confirm his identity and even know his credit to determine how much money to lend. In June, Tencent Holdings Ltd unveiled Xiaowei, an intelligent voice computing platform developed on the basis of WeChat's voice recognition technology.

Salesforce Einstein Discovery - Easy AI and Machine Learning


This course is for the absolute beginner to Artificial Intelligence (AI), Machine Learning, Deep Learning, and Data Science. If you are feeling overwhelmed by either the tsunami of data that you are tasked with trying to make sense out of, or overwhelmed by the tsunami of media coverage around Artificial Intelligence, Deep Learning, Data Science, and Machine Learning, I am here to share a competitive advantage. From there, we will work through signing up for a free Salesforce Einstein account (that you can keep for life) that has the new Salesforce Einstein AI engine enabled. There is no coding required - you can build AI enabled apps with clicks instead of code, thanks to being able to leverage the Salesforce Einstein AI framework.

AI is taking over the cloud and at Box it's starting with images


Ongoing research, including work from Google's researchers, is improving the ability of algorithms to describe what's happening in images. AI is already the weapon of choice in the battle to dominate cloud computing, with companies that offer on-demand computing--Google, Amazon, and Microsoft among them--all increasingly touting added machine-learning features. He says his company's researchers are exploring ways of applying machine learning to the behavior of its customers. Google's Cloud Vision API can recognize many thousands of everyday objects in images.