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This week, The European Parliament, the body responsible for adopting European Union (EU) legislation, passed a non-binding resolution calling for a ban on law enforcement use of facial recognition technology in public places. The resolution, which also proposes a moratorium on the deployment of predictive policing software, would restrict the use of remote biometric identification unless it’s to fight “serious” crime, such as kidnapping and terrorism.

The approach stands in contrast to that of U.S. agencies, which continue to embrace facial recognition even in light of studies showing the potential for ethnic, racial, and gender bias. A recent report from the U.S. Government Accountability Office found that 10 branches including the Departments of Agriculture, Commerce, Defense, and Homeland Security plan to expand their use of facial recognition between 2020 and 2023 as they implement as many as 17 different facial recognition systems.

Commercial face-analyzing systems have been critiqued by scholars and activists alike throughout the past decade, if not longer. The technology and techniques — everything from sepia-tinged film to low-contrast digital cameras — often favor lighter skin, encoding racial bias in algorithms. Indeed, independent benchmarks of vendors’ systems by the Gender Shades project and others have revealed that facial recognition technologies are susceptible to a range of prejudices exacerbated by misuse in the field. For example, a report from Georgetown Law’s Center on Privacy and Technology details how police feed facial recognition software flawed data, including composite sketches and pictures of celebrities who share physical features with suspects.

Circa 2019


Crime causes significant damage to the society and property. Different kinds of physical or direct methods are devised by the law and order department to spot out the criminals involved in the crime. This techniques will explore the evidences at crime site. For instance if it finds a fingerprint then the system will capture and send it to forensic department for fingerprint matching, which can be later used for identifying the suspects or criminals by investigations etc. Yet, it is a huge challenge for them to find the criminal due to less or no evidence and incorrect information, which can change the direction of investigation to the end. This paper proposes a data analysis approach to help the police department by giving them first-hand information about the suspects. It automates the manual process for finding criminal and future crime spot by using various techniques such as pattern matching, biometric and crime analytics. Based on the availability of information, the system is able to produce the expected accuracy.

The EU’s data protection agencies on Monday called for an outright ban on using artificial intelligence to identify people in public places, pointing to the “extremely high” risks to privacy.

In a non-binding opinion, the two bodies called for a “general ban” on the practice that would include “recognition of faces, gait, fingerprints, DNA, voice, keystrokes and other biometric or behavioural signals, in any context”.

Such practices “interfere with and freedoms to such an extent that they may call into question the essence of these rights and freedoms,” the heads of the European Data Protection Board and the European Data Protection Supervisor said.

Forget flexible, get stretchable.


We’ve had curved displays for a while now, but what about stretchy ones? Samsung says it’s making progress building screens “that can be stretched in all directions like rubber bands,” and that the first applications for this material could be in building flexible health tech.

The company’s researchers recently created an OLED display that can be stretched by up to 30 percent while operating as normal. As a proof of concept, engineers integrated this display into a stretchable heart rate monitor that can be stuck onto the skin like a Band-Aid.

“The strength of this technology is that it allows you to measure your biometric data for a longer period without having to remove the solution when you sleep or exercise, since the patch feels like part of your skin,” Samsung’s Youngjun Yun said of the prototype technology in a press statement. “You can also check your biometric data right away on the screen without having to transfer it to an external device.”

Fully autonomous exploration and mapping of the unknown is a cutting-edge capability for commercial drones.


Drone autonomy is getting more and more impressive, but we’re starting to get to the point where it’s getting significantly more difficult to improve on existing capabilities. Companies like Skydio are selling (for cheap!) commercial drones that have no problem dynamically path planning around obstacles at high speeds while tracking you, which is pretty amazing, and it can also autonomously create 3D maps of structures. In both of these cases, there’s a human indirectly in the loop, either saying “follow me” or “map this specific thing.” In other words, the level of autonomous flight is very high, but there’s still some reliance on a human for high-level planning. Which, for what Skydio is doing, is totally fine and the right way to do it.

Monitoring your vital signs is becoming easier and easier these days, critical if you want to keep track of your general health and well being, and incredibly useful if you want to see how a life style, or dietary, change is playing out. In this video I look at two new companies that are utilising mobile phones to measure a whole raft of biometric data, simply and easily, and clinically tested to deliver medical-grade accuracy. And these are just first generation versions, who knows where this will take us, and what we will be able to monitor quickly and easily in the next few years.


Medical Diagnosis Software With Just A Smart PhoneIn the near future, your phone or a wearable of some description, will constantly be able to monitor all your health signs continuously ready to alert you to any worrying signs, and what they can do today is just the beginning of where we are heading.

With AI powered deep learning and other computing techniques, more and more analysis will become easily and quickly measured at home, so you can track all your biomarkers and vital signs so you can see how you are reacting to a new treatment, or a lifestyle change, or anything else you wish to know about.

If you haven’t already seen it why not check out this video on the other technologies that are set to revolutionise our lives in the next decade.

Quantum Encryption, Privacy Preservation, And Blockchains — Dr. Vipul Goyal, NTT Ltd. Cryptography & Information Security Labs


Dr Vipul Goyal is a senior scientist at NTT Research (a division of Nippon Telegraph and Telephone Corporation, a telecommunications company headquartered in Tokyo, Japan.) and an Associate Professor in the Computer Science Department at Carnegie Mellon University (CMU), where he is part of the Crypto group, the theory group, a core faculty at CyLab (CMU security and privacy institute) and the faculty advisor of CMU Blockchain Group.

Previously, Dr. Goyal was a researcher in the Cryptography and Complexity group at Microsoft Research, India.

Dr. Goyal received his PhD from the University of California, Los Angeles.

Dr. Goyal is broadly interested in all areas of cryptography with a particular focus on the foundations of cryptography. Currently his research topics include secure multi-party computation, non-malleable cryptography, and foundations of blockchains.

Dr. Goyal is a recipient of several awards such as a JP Morgan faculty fellowship, a 2016 ACM Computer and Communications Security test of time award, a Microsoft Research graduate fellowship, and, a Google outstanding graduate student award.

Dr. Goyal was also named in the Forbes magazine 30 under 30 list of people changing science and healthcare in 2013.

The security company FireEye was breached by a sophisticated attack that stole multiple red team assessment tools. Malwarebytes customers are safe.

Hello folks! If you have not heard yet, the security firm FireEye has had a breach of many red team assessment tools used for identification of vulnerabilities to help protect customers.

While it is not known exactly who was behind this attack, a big concern is the sharing and use of these stolen red team tools by both sophisticated and non-sophisticated actors, similar to what we saw in 2017 with the ShadowBrokers group breach of the NSA’s Equation Group.