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To better understand how the brain identifies patterns and classifies objects — such as understanding that a green apple is still an apple even though it’s not red — Sandia National Laboratories and the Intelligence Advanced Research Projects Activity are working to build algorithms that can recognize visual subtleties the human brain can divine in an instant.

They are overseeing a program called Machine Intelligence from Cortical Networks, which seeks to supercharge machine learning by combining neuroscience and data science to reverse-engineer the human brain’s processes. IARPA launched the effort in 2014.

Sandia officials recently announced plans to referee the brain algorithm replication work of three university-led teams. The teams will map the complex wiring of the brain’s visual cortex, which makes sense of input from the eyes, and produce algorithms that will be tested over the next five years.

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Whenever cybersecurity is discussed, the topic of biometric authentication rises alongside it as a better, more effective, more secure method of security. But is it? Do biometrics actually provide a safer way to complete purchase transactions online?

“Biometrics are a device-specific authentication method,” said Madeline Aufseeser, CEO of online fraud prevention company Tender Armor, of the ways biometric authentication is presently used to secure a digital purchase transaction (as opposed to logging into a bank’s web site, to view an account or transfer money). “Typically the same biometric method does not work across multiple purchasing channels today. The fingerprint used to make a purchase with a smartphone cannot necessarily be used to authenticate a phone order purchase or purchase made with a computer. When you confirm [a purchase transaction] with your fingerprint on a smartphone, all that’s saying is that’s the same fingerprint that’s allowed to use this phone, or the specific application on the phone. Because the fingerprint is only resident and stored on the phone, the phone is authenticating itself, not the cardholder conducting the transaction.”

This sounds a little odd compared to what we might have heard about the capabilities of biometrics previously, mainly because it goes against a core assumption: that a biometric identifier (like a fingerprint) goes with transactional data, from the phone or device, to the payment processor, to the merchant.

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ALIAS envisions a custom, drop-in, removable kit that will promote the addition of high levels of automation into existing aircraft, enabling operation with reduced onboard crew.

The program intends to exploit the considerable advances made in aircraft automation systems over the past 50 years, and similar advances in remotely piloted aircraft automation, to help reduce pilot workload, augment mission performance and improve aircraft safety.

As an automation system, ALIAS aims to support execution of an entire mission from takeoff to landing, even in the face of contingency events such as aircraft system failures.

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I figured that if Elon Musk’s Hyperloop system ever became reality, it would essentially be a super-fast train system. Meaning we’d enter at a Hyperloop station in L.A. and exit at a Hyperloop station in San Francisco. But the forthcoming Hyperloop One system in Dubai, designed by Bjarke Ingels Group, will actually get riders from door to door.

To explain: Hyperloop One, which signed a deal with the Dubai Roads and Transport Authority, has BIG providing the design muscle. The collaboration has yielded the idea that self-driving Hyperpods could pick passengers up anywhere in the city, like an Uber. These six-person-capacity Hyperpods would then drive to the Hyperportal and load itself onto a Transport Capsule, the actual thing that shoots through the Hyperloop tube. At the other end, the ‘pod exits the Transport Capsule and drives the passengers to their destination.

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For Americans struggling with stagnant wages, under- or un-employment, one of Donald Trump’s most appealing campaign promises was to bring manufacturing jobs back to the U.S.

Navigating the complexities of policy, tariffs and geopolitics would make that hard enough already for the president elect. But technology will make this promise nearly impossible to fulfill.

Why? Because manufacturing jobs are increasingly done by robots, not people.

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Researchers have developed the world’s first light-seeking synthetic nanorobot that can help surgeons remove tumors and enable more precise engineering of targeted medications.

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With size comparable to a blood cell, these tiny robots have the potential to be injected into a patient’s body, the study said.

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If your political conversations on social media seem mechanical and predictable, it might be because you are debating with a robot.

A study published the day before the election found an estimated 400,000 bots operating on Twitter that were tweeting—and being retweeted—at a remarkable pace, generating nearly 20 percent of all election-related messages.

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