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Dec 17, 2021

Astronomers Detect Secret Water Reserves in The Largest Canyon in The Solar System

Posted by in category: space

A vast system of canyons that dramatically scars the face of Mars could be harboring reserves of hidden water.

An unusually high quantity of hydrogen has been detected in the heart of the 4,000 kilometers (2,485 miles) of canyons known as Valles Marineris, nicknamed the Grand Canyon of Mars. We know this thanks to new data from the ESA-Roscosmos ExoMars Trace Gas Orbiter’s FREND instrument.

The finding suggests that, at depths up to a meter (three feet) below the surface, the soil in the region is rich in water, either bound up in minerals or as subsurface water ice, potentially offering a new way of locating the precious stuff on the apparently extremely arid world.

Dec 17, 2021

Researchers Uncover New Coexistence Attacks On Wi-Fi and Bluetooth Chips

Posted by in categories: cybercrime/malcode, internet

Cybersecurity researchers have demonstrated a new attack technique that makes it possible to leverage a device’s Bluetooth component to directly extract network passwords and manipulate traffic on a Wi-Fi chip, putting billions of electronic devices at risk of stealthy attacks.

The novel attacks work against the so-called “combo chips,” which are specialized chips that are equipped to handle different types of radio wave-based wireless communications, such as Wi-Fi, Bluetooth, and LTE.

“We provide empirical evidence that coexistence, i.e., the coordination of cross-technology wireless transmissions, is an unexplored attack surface,” a group of researchers from the Technical University of Darmstadt’s Secure Mobile Networking Lab and the University of Brescia said in a new paper.

Dec 17, 2021

New Fileless Malware Uses Windows Registry as Storage to Evade Detection

Posted by in category: cybercrime/malcode

A new fileless malware has been spotted using Windows OS registry as both persistent and temporary storage to evade detection.

Dec 17, 2021

Curve Light: A highly performing indoor positioning system

Posted by in categories: augmented reality, internet, robotics/AI, space, virtual reality

In recent years, engineers have been trying to develop more effective sensors and tools to monitor indoor environments. Serving as the foundation of these tools, indoor positioning systems automatically determine the position of objects with high accuracy and low latency, enabling emerging Internet-of-Things (IoT) applications, such as robots, autonomous driving, VR/AR, etc.

A team of researchers recently created CurveLight, an accurate and efficient positioning system. Their technology, described in a paper presented at ACM’s SenSys 2021 Conference on Embedded Networked Sensor Systems, could be used to enhance the performance of autonomous vehicles, robots and other advanced technologies.

“In CurveLight, the signal transmitter includes an infrared LED, covered by a hemispherical and rotatable shade,” Zhimeng Yin, one of the researchers who developed the system at City University of Hong Kong, told TechXplore. “The receiver detects the light signals with a photosensitive diode. When the shade is rotating, the transmitter generates a unique sequence of light signals for each point in the covered space.”

Dec 17, 2021

Why deep-learning methods confidently recognize images that are nonsense

Posted by in categories: biotech/medical, information science, robotics/AI

For all that neural networks can accomplish, we still don’t really understand how they operate. Sure, we can program them to learn, but making sense of a machine’s decision-making process remains much like a fancy puzzle with a dizzying, complex pattern where plenty of integral pieces have yet to be fitted.

If a model was trying to classify an image of said puzzle, for example, it could encounter well-known, but annoying adversarial attacks, or even more run-of-the-mill data or processing issues. But a new, more subtle type of failure recently identified by MIT scientists is another cause for concern: “overinterpretation,” where algorithms make confident predictions based on details that don’t make sense to humans, like random patterns or image borders.

This could be particularly worrisome for high-stakes environments, like split-second decisions for self-driving cars, and medical diagnostics for diseases that need more immediate attention. Autonomous vehicles in particular rely heavily on systems that can accurately understand surroundings and then make quick, safe decisions. The network used specific backgrounds, edges, or particular patterns of the sky to classify traffic lights and street signs—irrespective of what else was in the image.

Dec 17, 2021

Will true AI turn against us?

Posted by in categories: existential risks, robotics/AI

Will AI become an existential threat to humans?

Dec 17, 2021

Do we have free will?

Posted by in categories: chemistry, neuroscience

Is free will a phantom of brain chemistry, or are we truly in control of our lives? A question debated by great minds for millenia.

Dec 17, 2021

Moral enhancement explained: Can science make us better people?

Posted by in categories: biotech/medical, ethics, science

Could a pill make you more moral? Should you take it if it could?

Dec 17, 2021

Is religion helping or hurting us?

Posted by in category: futurism

Is the world better or worse with religion?

Dec 16, 2021

A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

Posted by in categories: neuroscience, robotics/AI

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The authors measured high-resolution fMRI activity from eight individuals who saw and memorized thousands of annotated natural images over 1 year. This massive dataset enables new paths of inquiry in cognitive neuroscience and artificial intelligence.