Pattern Recognition


Simple 'smart' glass reveals the future of artificial vision

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The sophisticated technology that powers face recognition in many modern smartphones someday could receive a high-tech upgrade that sounds--and looks--surprisingly low-tech. This window to the future is none other than a piece of glass. University of Wisconsin-Madison engineers have devised a method to create pieces of "smart" glass that can recognize images without requiring any sensors or circuits or power sources. "We're using optics to condense the normal setup of cameras, sensors and deep neural networks into a single piece of thin glass," says UW-Madison electrical and computer engineering professor Zongfu Yu. Yu and colleagues published details of their proof-of-concept research today in the journal Photonics Research.


WorkShop: Machine Learning for the Enterprise International Conference 2019 - Technology Transfer

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Machine Learning (ML) represents a massive change in the computing industry. It is a long-term trend that offers the potential for significant advantages for many enterprises. Accurate prediction is critical for practically all enterprises. Without a degree of confidence in business forecasting, organizations would have a difficult time delivering successful products and services in a cost-effective manner. Machine Learning provides the capability to offer deep predictive and prescriptive decision-making intelligence.


ICE Used Driver's Licenses To Spot Immigration Violators, Advocates Want Change

NPR Technology

This week we learned that ICE has searched millions of American driver's license photos, using facial recognition tools; the aim - to look for immigrants who are in this country illegally. Now privacy rights supporters and immigration advocates are calling for more transparency and oversight. But as NPR's Joel Rose reports, some version of all this has happened once before. JOEL ROSE, BYLINE: Dozens of protesters gathered in Manhattan yesterday outside the office of a tech company that's growing but still unknown to many Americans. UNIDENTIFIED PROTESTER: You hear that, Palantir?


ABS brings artificial intelligence to vessel corrosion WorkBoat

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The American Bureau of Shipping recently collaborated with Google Cloud and software engineers SoftServe to use artificial intelligence (AI) models to detect levels of corrosion and marine coatings breakdowns on brown- and bluewater vessels. The pilot project is aimed at developing image recognition software tools that can examine early signs of degradation in hull structures, to avoid unsafe working conditions, unscheduled maintenance and resulting operational downtime. The effort demonstrated how AI can support early detection of structural anomalies that are usually found through traditional, visual inspections. The project was focused on corrosion and coatings failures, but ABS engineers believe the new tools could also be used to detect stress fractures and larger hull deformations. These AI techniques -- in tandem with advanced data algorithms -- could be used to analyze images over time to understand the trends in corrosion and asset fatigue that would support a transition to more efficient class and maintenance regimes for everything from workboats to offshore structures.


Artificial Intelligence in Health Care--Will the Value Match the Hype?

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Artificial intelligence (AI) and its many related applications (ie, big data, deep analytics, machine learning) have entered medicine's "magic bullet" phase. Desperate for a solution for the never-ending challenges of cost, quality, equity, and access, a steady stream of books, articles, and corporate pronouncements makes it seem like health care is on the cusp of an "AI revolution," one that will finally result in high-value care. While AI has been responsible for some stunning advances, particularly in the area of visual pattern recognition,1-3 a major challenge will be in converting AI-derived predictions or recommendations into effective action.


Toward artificial intelligence that learns to write code

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Learning to code involves recognizing how to structure a program, and how to fill in every last detail correctly. No wonder it can be so frustrating. A new program-writing AI, SketchAdapt, offers a way out. Trained on tens of thousands of program examples, SketchAdapt learns how to compose short, high-level programs, while letting a second set of algorithms find the right sub-programs to fill in the details. Unlike similar approaches for automated program-writing, SketchAdapt knows when to switch from statistical pattern-matching to a less efficient, but more versatile, symbolic reasoning mode to fill in the gaps.


Kitov.ai: Smart Visual Inspection to Enhance Manufacturing...

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To assist manufacturers in performing an automated visual inspection, Kitov.ai has developed a smart visual inspection technology for a broad range of production lines. Israel-based Kitov.ai has built an end-to-end, fully automated 3D inspection system powered by artificial intelligence and deep learning that enables manufacturers to produce quality products at a low cost rapidly. In an interview with CIO Applications, Hanan Gino, CEO of Kitov.ai, Give us an overview of Kitov.ai Kitov.ai was founded in late 2014 by CTO and Founder Dr. Yossi Rubner, as a spin-off of RTC Vision, a company that has been developing advanced computer vision algorithms for leading companies for over a decade.


Toward artificial intelligence that learns to write code

#artificialintelligence

Learning to code involves recognizing how to structure a program, and how to fill in every last detail correctly. No wonder it can be so frustrating. A new program-writing AI, SketchAdapt, offers a way out. Trained on tens of thousands of program examples, SketchAdapt learns how to compose short, high-level programs, while letting a second set of algorithms find the right sub-programs to fill in the details. Unlike similar approaches for automated program-writing, SketchAdapt knows when to switch from statistical pattern-matching to a less efficient, but more versatile, symbolic reasoning mode to fill in the gaps.


The Best Machine Learning Course to Learn 2019

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The Best Machine Learning Course to Learn 2019(view) – This online course explains a detailed introduction to Machine Learning, data mining, and statistical pattern recognition. The course will also cover several case studies and applications which are very helpful, so that students also get to know how to apply learning algorithms to creating smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas. I would like to recommend this course to any students who is interested in learning machine learning as it is amazing and has been great help to students. It has Flexible schedule and deadlines. The best way to complete it in 7 hours per week.