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The age of widespread autonomous flight came another step closer as DARPA announced its Aircrew Labor In-Cockpit Automation System (ALIAS) has completed Phase 2 of its development program. The drop-in, removable kit designed to convert conventional aircraft into advanced automated vehicles requiring fewer crew was installed in two different Cessna 208 Caravan fixed-wing aircraft, a Diamond DA-42 fixed-wing aircraft, and a Sikorsky S-76 helicopter.

According to DARPA, the ALIAS-equipped aircraft successfully completed flight demonstrations as well as responding to simulated flight emergencies while on the ground that included systems failures that could cause pilots to deviate from normal procedures. In both cases, the agency says that ALIAS worked without adversely affecting airworthiness.

ALIAS is intended as a way of automating various military aircraft without making bespoke modifications to each individual plane design. The idea is to develop a kit that can be installed in the cabin of an aircraft, where it can take control and fly missions from takeoff to landing as well as handling emergencies based on existing vehicle information, procedures, and flight mechanics.

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Well before the family came in to the Batson Children’s Specialty Clinic in Jackson, Mississippi, they knew something was wrong. Their child was born with multiple birth defects, and didn’t look like any of its kin. A couple of tests for genetic syndromes came back negative, but Omar Abdul-Rahman, Chief of Medical Genetics at the University of Mississippi, had a strong hunch that the child had Mowat-Wilson syndrome, a rare disease associated with challenging life-long symptoms like speech impediments and seizures.

So he pulled out one of his most prized physicians’ tools: his cell phone.

Using an app called Face2Gene, Abdul-Rahman snapped a quick photo of the child’s face. Within a matter of seconds, the app generated a list of potential diagnoses — and corroborated his hunch. “Sure enough, Mowat-Wilson syndrome came up on the list,” Abdul-Rahman recalls.

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When you engage in international travel, you may one day find yourself face-to-face with border security that is polite, bilingual and responsive—and robotic.

The Automated Virtual Agent for Truth Assessments in Real Time (AVATAR) is currently being tested in conjunction with the Canadian Border Services Agency (CBSA) to help border security agents determine whether travelers coming into Canada may have undisclosed motives for entering the country.

“AVATAR is a , much like an airport check-in or grocery store self-checkout kiosk,” said San Diego State University management information systems professor Aaron Elkins. “However, this kiosk has a face on the screen that asks questions of travelers and can detect changes in physiology and behavior during the interview. The system can detect changes in the eyes, voice, gestures and posture to determine potential risk. It can even tell when you’re curling your toes.”

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The video of an accident on the Autobahn in the Netherlands caught on the dashcam of a Tesla Model X shows the Autopilot’s forward collision warning predicting an accident before it could be detected by the driver.

With the release of Tesla’s version 8.0 software update in September, the automaker announced a new radar processing technology that was directly pushed over-the-air to all its vehicles equipped with the first generation Autopilot hardware.

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