Lifeboat Foundation

In the current edition of The Lancet Neurology, researchers of the Human Brain Project (HBP) present the novel clinical uses of advanced brain modeling methods. Computational brain modeling techniques that integrate the measured data of a patient have been developed by researchers at AMU Marseille as part of the HBP. The models can be used as predictive tools to virtually test clinical hypotheses and strategies.

To create personalized brain models, the researchers use a simulation technology called The Virtual Brain (TVB), which HBP scientist Viktor Jirsa has developed together with collaborators. For each patient, the computational models are created from data of the individually measured anatomy, structural connectivity and brain dynamics.

The approach has been first applied in epilepsy, and a major clinical trial is currently ongoing. The TVB technology enables clinicians to simulate the spread of abnormal activity during epileptic seizures in a patient’s brain, helping them to better identify the target areas. In January, the team had presented the detailed methodology of the epilepsy work on the cover of Science Translational Medicine.

Johns Hopkins researchers break ground on new field of ‘organoid intelligence’.

According to researchers at Johns Hopkins University, a “biocomputer” powered by human brain cells could be developed within our lifetime. This technology is expected to exponentially expand the capabilities of modern computing and open up new areas of research.

The team’s plan for “organoid intelligence” was outlined in a recent article published in the journal Frontiers in Science.

Researchers have created a computer simulation of early universe in the epoch after the Big Bang. It’s designed to help them interpret real data in future.

The quantum computer is now operational on the clinic’s Ohio campus.

Can you imagine if we had computer/brain interfaces what would happen? We’ll need brain firewalls and antivirus.

Android apps digitally signed by China’s third-biggest e-commerce company exploited a zero-day vulnerability that allowed them to surreptitiously take control of millions of end-user devices to steal personal data and install malicious apps, researchers from security firm Lookout have confirmed.

The malicious versions of the Pinduoduo app were available in third-party markets, which users in China and elsewhere rely on because the official Google Play market is off-limits or not easy to access. No malicious versions were found in Play or Apple’s App Store. Last Monday, TechCrunch reported that Pinduoduo was pulled from Play after Google discovered a malicious version of the app available elsewhere. TechCrunch reported the malicious apps available in third-party markets exploited several zero-days, vulnerabilities that are known or exploited before a vendor has a patch available.

Continue reading “Android app from China executed 0-day exploit on millions of devices” »

For decades, mathematicians have been inching forward on a problem about which sets contain evenly spaced patterns of three numbers. Last month, two computer scientists blew past all of those results.

Gordon E. Moore who died last week had a vision that silicon chips and shrinking transistors would revolutionize computing. Moore’s Law inspired the computer revolution.

Moore died at the age of 94 but Moore’s Law drove the computing revolution from the mid-1960s. Transistor miniaturization was the key.

Neurosity’s headset uses electroencephalogram technology, or EEG, to measure brain activity by placing small metal electrodes on a person’s scalp. If the electrodes detect decreased electrical activity in the brain, the Crown plays music and sounds, or pulses vibrations, hoping those actions will help the user focus.

But some developers, it seems, have taken Neurosity’s tech a step further, turning the Crown into a more traditional brain computer interface that can allow users to control a computer using only their mind.

One owner of the gadget claimed they’ve used it to drive a Tesla, moving the electric car short distances by doing some mental math, which signals to the device that the person wearing it is exerting a lot of cognitive effort.

Continue reading “Grimes said she got a brain gadget for her birthday from a company competing with Elon Musk’s Neuralink” »

Speaker: George Tulevski, materials science engineer at IBM Research.

The exceptional electronic properties of carbon nanotubes, coupled with their small size, makes them ideal materials for future nanoelectronic devices. The integration of these materials into advanced microprocessors requires a radical shift in fabrication from conventional top-down process to bottom-up assembly where advances in sorting and directed assembly are needed. This presentation will briefly describe the challenges to future transistor scaling, highlight the advantages of employing carbon nanotubes for digital logic and describe the recent progress in this area.