Lifeboat Foundation

Skydweller Aero’s latest flight test of a modified solar-powered aircraft will provide the real-world data necessary for the U.S.-Spanish startup’s engineers to start developing and testing their proprietary autonomous flight software.

Established in 2019 following the acquisition of Swiss nonprofit Solar Impulse’s Solar Impulse 2 aircraft—which circumnavigated the globe in 2016 — Skydweller is headquartered in Oklahoma, with offices in the Washington D.C. region and a flight test facility in Albacete, Spain, roughly two hours south of their engineering operations in Madrid. During the two-and-a-half-hour optionally-piloted flight demonstration in Albacete, Skydweller’s engineering team completed initial validation of their new flight hardware and autopilot’s ability to initiate and manage the aircraft control, actuation, and sensor technology systems.

A pilot was in the cockpit of the Solar Impulse 2, working in tandem with another operator who controlled the movements of the aircraft remotely from the ground.

A group of researchers says that artificial intelligence can be used to trick most biometric face scanners.

If you’re wondering just how advanced artificial intelligence (AI) systems are getting, then know this: the US military is testing an experimental AI network tasked with identifying likely future events worthy of closer attention, and days before they occur.

The series of tests are called the Global Information Dominance Experiments (GIDE), and they combine data from a huge variety of sources, including satellite imagery, intelligence reports, sensors in the field, radar, and more.

Cloud computing also plays an important part in this setup, making sure that vast chunks of data collected from all over the world can be processed efficiently, and then accessed by whichever military officials and agencies need them.

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In the next year and a half, we’re going to see increasing adoption of technologies, which will trigger a broader industry shift, much as Tesla triggered the transition to EVs.

Continue reading “Embodied AI, superintelligence and the master algorithm” »

Researchers recently tested whether a balloon-borne sensor could listen for venusquakes to learn about the planet’s makeup.

Summary: Blood tests revealed specific epigenetic biomarkers for schizophrenia. Researchers applied machine learning to analyze the CoRSIVs region of the human genome to identify the schizophrenia biomarkers. Testing the model with an independent data set revealed the AI technology can detect schizophrenia with 80% accuracy.

Source: Baylor College of Medicine.

An innovative strategy that analyzes a region of the genome offers the possibility of early diagnosis of schizophrenia, reports a team led by researchers at Baylor College of Medicine. The strategy applied a machine learning algorithm called SPLS-DA to analyze specific regions of the human genome called CoRSIVs, hoping to reveal epigenetic markers for the condition.

Chinese upstart companies and IT goliaths hope to turn country’s artificial intelligence prowess into world-leading drug innovation. Do they have an edge over Western players?

The use of Artificial Intelligence in warfare has ballooned, and the United States wants to use it to crack the data received from globally deployed sensors.