From facial recognition security to unmanned vehicles, Alibaba’s corporate campus is the office of the future. CNBC’s Uptin Saiidi gets a rare look inside the company’s headquarters in Hangzhou, China, where more than 20,000 employees are based.
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With the move, France will join states around the world rushing to create “digital identities” to give citizens secure access to everything from their taxes and banks to social security and utility bills. Singapore uses facial recognition and has signed an accord to help the U.K. prepare its own ID system. India uses iris scans.
France is poised to become the first European country to use facial recognition technology to give citizens a secure digital identity — whether they want it or not.
Saying it wants to make the state more efficient, President Emmanuel Macron’s government is pushing through plans to roll out an ID program, dubbed Alicem, in November, earlier than an initial Christmas target. The country’s data regulator says the program breaches the European rule of consent and a privacy group is challenging it in France’s highest administrative court. It took a hacker just over an hour to break into a “secure” government messaging app this year, raising concerns about the state’s security standards.
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The World Economic Forum has partnered with the Inter-American Development Bank and the Colombian Inspector General’s Office to explore how distributed ledger technology can improve public transparency and integrity in school meal procurement.
The project, which is taking place this year, is multi-faceted and includes a software implementation with blockchain technology for the selection of school food vendors. It is co-designed with several partners from academia, the IT industry, and the non-profit world, including economists and computer scientists from the blockchain economics and governance consulting firm Prysm Group, the National University of Colombia, U.C. Berkeley, and the blockchain security firm Quantstamp.
Researchers in the lab of UC Santa Barbara professor Yasamin Mostofi have enabled, for the first time, determining whether the person behind a wall is the same individual who appears in given video footage, using only a pair of WiFi transceivers outside.
This novel video-WiFi cross-modal gait-based person identification system, which they refer to as XModal-ID (pronounced Cross-Modal-ID), could have a variety of applications, from surveillance and security to smart homes. For instance, consider a scenario in which law enforcement has a video footage of a robbery. They suspect that the robber is hiding inside a house. Can a pair of WiFi transceivers outside the house determine if the person inside the house is the same as the one in the robbery video? Questions such as this have motivated this new technology.
The cryptocurrency Bitcoin is limited by its astronomical electricity consumption and outsized carbon footprint. A nearly zero-energy alternative sounds too good to be true, but as School of Computer and Communication Sciences (IC) Professor Rachid Guerraoui explains, it all comes down to our understanding of what makes transactions secure.
To explain why the system developed in his Distributed Computing Lab (DCL) represents a paradigm shift in how we think about cryptocurrencies—and about digital trust in general—Professor Rachid Guerraoui uses a legal metaphor: all players in this new system are “innocent until proven guilty.”
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Security researcher Axi0mX published the exploit, called “checkm8,” Friday on Github. It affects every Apple device with an A5 through A11 chipset, meaning every iPhone model from 4S to X. Though it isn’t an all-in-one jailbreak on its own, the exploit provides an extensive foundation for researchers to build off of in customizing jailbreaks for every vulnerable model of device that would allow them to totally take over the unit, run software far beyond what Apple normally allows, and program apps to interact and share data in ways that Apple’s protections usually preclude.
Any iPhone device from 2011 to 2017 could soon be jailbroken, thanks to an underlying flaw that there’s no way to patch.
A quasi-particle that travels along the interface of a metal and dielectric material may be the solution to problems caused by shrinking electronic components, according to an international team of engineers.
“Microelectronic chips are ubiquitous today,” said Akhlesh Lakhtakia, Evan Pugh University Professor and Charles Godfrey Binder Professor of Engineering Science and Mechanics, Penn State. “Delay time for signal propagation in metal-wire interconnects, electrical loss in metals leading to temperature rise, and cross-talk between neighboring interconnects arising from miniaturization and densification limits the speed of these chips.”
These electronic components are in our smartphones, tablets, computers and security systems and they are used in hospital equipment, defense installations and our transportation infrastructure.
Last year, Princeton researchers identified a disturbing security flaw in which hackers could someday exploit internet-connected appliances to wreak havoc on the electrical grid. Now, the same research team has released algorithms to make the grid more resilient to such attacks.
In a paper published online in the journal IEEE Transactions on Network Science and Engineering, a team from Princeton’s Department of Electrical Engineering presented algorithms to protect against potential attacks that would spike demand from high-wattage devices such as air conditioners—all part of the “internet of things”—in an effort to overload the power grid.
“The cyberphysical nature of the grid makes this threat very important to counter, because a large-scale blackout can have very critical consequences,” said study author Prateek Mittal, an associate professor of electrical engineering.
The effects of Artificial Intelligence (AI) technologies have already been experienced by the people globally and the increasing utilization of technology has proven a revolutionary advancement in the current scenario of digitization. Knowledge reasoning, planning, machine learning, robotics, computer vision, and graphics are few of the most commonly used areas where the AI has exposed the potential to ease the result oriented operations. In addition to the above, the most common machinery i.e. smartphones are even now available with high-end AI rich features and functionalities. AI enabled smartphones can now be noticed in terms of learning the continued user behavior and applying the same itself, improved security of rich features and enhanced voice assistants exhibiting AI rich functionalities. However, the exposure of Artificial Intelligence like broadest technologies must not be limited up to improved machinery rich features along with process optimization and automation. There are the other best set of fields predicted to get benefit under the global hug of AI worldwide which are hereby mentioned below.
Food security is one of the biggest challenges we’re facing as we move further into this century. Changing climate, pests, stress on water and land are all limiting our ability to produce sufficient amounts of food. making food production an issue.
Synthetic biology offers ways to help produce and supply enough safe and nutritious food sustainably for the estimated 9 billion people that will inhabit the planet by 2050.
Here are a few ways how.
