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Eight case studies on regulating biometric technology show us a path forward

MIT Technology Review

Amba Kak was in law school in India when the country rolled out the Aadhaar project in 2009. The national biometric ID system, conceived as a comprehensive identity program, sought to collect the fingerprints, iris scans, and photographs of all residents. It wasn't long, Kak remembers, before stories about its devastating consequences began to spread. "We were suddenly hearing reports of how manual laborers who work with their hands--how their fingerprints were failing the system, and they were then being denied access to basic necessities," she says. "We actually had starvation deaths in India that were being linked to the barriers that these biometric ID systems were creating. So it was a really crucial issue."

Career insights of an artificial intelligence engineer


An artificial intelligence engineer at Top Engineering Colleges in Rajasthan conceptualizes designs, builds, and finally rolls out sophisticated machine learning algorithms. They facilitate autonomous knowledge gathering through unstructured training sets besides the deployment of the AI models in real-world production setups. Also, AI engineers set up the basis of intelligent automation processes using proprietary or third-party tools within the enterprise. Other functions include researching and recommendations on improvements in existing machine learning algorithms. SDLC based machine learning implementation on a dataset to train the model, data mining, pattern recognition and training of the AI model, etc.

Natural Language Processing (NLP) Market to Reach USD 80.68 billion by 2026; Increasing Demand for Enhanced Algorithms to Boost Growth, says Fortune Business Insights


Key Companies Covered in NLP Market Research Report are 3M Company, Adobe Systems Inc., Amazon Web Services Inc., Apple Inc., Google (Alphabet Inc.), Hewlett-Packard Enterprise Company, Intel Corporation, Microsoft Corporation, SAS Institute Inc., Other key market players The global Natural Language Processing (NLP) Market size is projected to reach USD 80.68 billion by 2026, thereby exhibiting a CAGR of 32.4% during the forecast period. This information is published by Fortune Business Insights, in a report, titled, "Natural Language Processing (NLP) Market Size, Share & Industry Analysis, By Deployment (On-Premises, Cloud, and Hybrid), By Technology (Interactive Voice Response (IVR), Optical Character Recognition (OCR), Text Analytics, Speech Analytics, Classification and Categorization, Pattern and Image Recognition, and Others), By Industry Vertical (Healthcare, Retail, High Tech and Telecom, BFSI, Automotive & Transportation, Advertising & Media, Manufacturing, and Others) and Regional Forecast, 2019-2026." The report further states that the market was USD 8.61 billion in 2018. It is set to gain momentum from the rising demand for big data, improved algorithms, and powerful computing. What Does the Report Contain?

Artificial Intelligence, Face Recognition To Help UP Police Catch Criminals


Police in Uttar Pradesh will now be able to solve cases with the help of an application that has a data base of five lakh criminals as well as artificial intelligence, face recognition and a host of other tech features, officials said Thursday. Named'Trinetra' or third eye, it was launched by UP Police chief OP Singh at a conference of senior officers during the annual'police week' celebrations in Lucknow, a senior official said. The database has been created after bringing together criminal records of the state police, the prisons department and the GRP that guards the railway network in the state. A senior official involved in developing the app said the database will help policeman on ground by deploying techniques like face recognition, text search, biometric records analysis, phonetic search, artificial intelligence (AI) and gang analysis to "zero in on the criminal" in a quick and targeted manner. "This app has a database of about 5 lakh criminals of the state and it will provide access of crime files and dossiers to my officers and personnel on the ground in a seamless and reliable fashion. This app is aimed to help them crack a case fast and ensure relief and justice to crime victims," Mr Singh told PTI.

Google's AI Eye Doctor Gets Ready to Go to Work in India


Google is poised to begin a grand experiment in using machine learning to widen access to healthcare. If it is successful, it could see the company help protect millions of people with diabetes from an eye disease that leads to blindness. Last year researchers at the search and ads company announced that they had trained image recognition algorithms to detect signs of diabetes-related eye disease roughly as well as human experts. The software examines photos of a patient's retina to spot tiny aneurisms indicating the early stages of a condition called diabetic retinopathy, which causes blindness if untreated. At the 2017 WIRED Business Conference in New York City today, a leader of Google's project said that work has begun on integrating the technology into a chain of eye hospitals in India.

New AI tool claims to 'change the landscape of online ads' by connecting shoppers to goods using images - TechRepublic


Imagine that you are searching for a brown leather sandal online. You know what it should look like, but don't know how to describe it. You search "brown sandal" in Google, which serves up many results--but none of them are it. In 2015, GE inaugurated a new, Multi-Modal manufacturing facility in Chakan, India. If the company's ambitions for the space are realized, it could drive a massive change in global manufacturing.