Lifeboat Foundation

Israeli researchers uncovered a novel way that hackers could steal sensitive data from a highly secured computer: by tapping into the vibrations from a cooling system fan.

Lead cyber-security researcher Mordechai Guri at Ben-Gurion University of the Negev said data encoded by hackers into fan vibrations could be transmitted to a smartphone placed in the vicinity of the targeted computer.

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Nvidia CEO to unveil new tech on YouTube, and more from machine-learning world.

Originally published by the Max Planck Institute for Gravitational Physics (Albert Einstein Institute, or AEI) in Hannover, Germany, on April 20, 2020.

The expectations of the gravitational-wave research community have been fulfilled: gravitational-wave discoveries are now part of their daily work as they have identified in the past observing run, O₃, new gravitational-wave candidates about once a week. But now, the researchers have published a remarkable signal unlike any of those seen before: GW190412 is the first observation of a binary black hole merger where the two black holes have distinctly different masses of about 8 and 30 times that of our sun. This not only has allowed more precise measurements of the system’s astrophysical properties, but it has also enabled the LIGO and Virgo scientists to verify a yet-untested prediction of Einstein’s theory of general relativity.

Conway, who passed away on April 11, was known for his rapid computation, his playful approach, and solving problems with “his own bare hands.”

The main idea of artificial neural networks (ANN) is to build up representations for complicated functions using compositions of relatively simple functions called layers.

A deep neural network is one that has many layers, or many functions composed together.

Although layers are typically simple functions(e.g. relu(Wx + b)) in general they could be any differentiable functions.

In this article, I will demonstrate the use of Variational Inference to quantify the uncertainty in the weights of deep neural networks and make more informed predictions for a breast cancer classification dataset.

Preliminary results from a clinical trial of remdesivir, an experimental antiviral drug being tested for coronavirus, could come in as little as one to two weeks, a top researcher said Sunday.

The final results aren’t expected until mid-to-late May, said Dr. Andre Kalil, a principal investigator for the trial. But he said “we can potentially have some early data in the next one or two weeks,” contingent on a preliminary analysis.

“In the next few weeks, we’re going to do the analysis, and we’re going to basically know if remdesivir is better or not than placebo,” he told CNN.

KIA and corporate cousin Hyundai build some efficient EVs that challenge industry leaders like Tesla. Yes, Elon an his minions are miles ahead in self-driving tech, but the Hyundai Kona EV and KIA Niro EV are world class cars that come close to meeting Elon’s plea to other manufacturers to build compelling electric cars.

The problem is, KIA and Hyundai don’t have a dedicated battery electric platform. Both the Kona and Niro share their underpinnings with hybrid and plug-in hybrid models. A pure battery electric car may be coming soon from KIA, however. Recently, Hyundai said it is planning to bring two new all electric models — the 45 Concept and the Prophesy Concept — to market this year and next. Both will be built on the company’s new Electric Global Modular Platform known internally as E-GMP.

Quantitative biologists David McCandlish and Juannan Zhou at Cold Spring Harbor Laboratory have developed an algorithm with predictive power, giving scientists the ability to see how specific genetic mutations can combine to make critical proteins change over the course of a species’ evolution.

Described in Nature Communications, the algorithm called “minimum epistasis interpolation” results in a visualization of how a protein could evolve to either become highly effective or not effective at all. They compared the functionality of thousands of versions of the protein, finding patterns in how mutations cause the protein to evolve from one functional form to another.

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