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(NaturalNews) A diagnosis of amyotrophic lateral sclerosis (ALS), commonly known as Lou Gehrig’s disease, was once considered a death sentence, but advanced automation technology is offering new hope to sufferers of the rare condition.

Most ALS patients eventually face an extremely difficult choice: either die from the lack of ability to breathe once the disease progresses or undergo a tracheostomy and spend the rest of one’s life on a ventilator – unable to move or speak.

Continue reading “Man suffering from ALS creates home electronic automation system that uses eye movement and brain waves” »

Bridgewater Associates is algorithmically modeling its founder’s principles to hire, fire and direct employees.

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.

Continue reading “DARPA’s ALIAS aircraft automation program spreads its wings” »

Swarm robotics, autonomous delivery vehicles, and machine-learned preferences will help deliver your food faster.

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.

Continue reading “How machine learning Is revolutionizing the diagnosis of rare diseases” »

Jürgen Schmidhuber is the most important A.I. engineer and thinker you don’t know about.

To address the world’s incoming senior citizens, IBM is developing a robot that can help the elderly live alone without sacrificing safety.

Actors try to make sense out of an AI-written screenplay in the movie Sunspring.

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 kiosk, 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.”

Continue reading “The lie-detecting security kiosk of the future” »