Lifeboat Foundation

A team of security researchers at Georgia Tech, the University of Michigan and Ruhr University Bochum in Germany has reported a new form of side-channel attack that capitalizes on power and speed management methods used by graphics processing units and systems on a chip (SoCs).

The researchers demonstrated how they could steal personal information by targeting data released by the Dynamic Voltage and Frequency Scaling (DVFS) mechanisms found on most modern chips.

As manufacturers race to develop thinner and more energy-efficient devices, they must train their sights on constructing SoCs that balance power consumption, heat generation and processing speed.

An explosion of skeletal editing methods to insert, delete or swap individual atoms in molecular backbones could accelerate drug discovery.

Researchers in Canada and the United States have used deep learning to derive an antibiotic that can attack a resistant microbe, acinetobacter baumannii, which can infect wounds and cause pneumonia. According to the BBC, a paper in Nature Chemical Biology describes how the researchers used training data that measured known drugs’ action on the tough bacteria. The learning algorithm then projected the effect of 6,680 compounds with no data on their effectiveness against the germ.

In an hour and a half, the program reduced the list to 240 promising candidates. Testing in the lab found that nine of these were effective and that one, now called abaucin, was extremely potent. While doing lab tests on 240 compounds sounds like a lot of work, it is better than testing nearly 6,700.

Interestingly, the new antibiotic seems only to be effective against the target microbe, which is a plus. It isn’t available for people yet and may not be for some time — drug testing being what it is. However, this is still a great example of how machine learning can augment human brainpower, letting scientists and others focus on what’s really important.

The universe was briefly governed by different physical laws than exist today, according to new research.

Contemporary DNA

DNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA).

Crispre cas 9.

A major issue in neuroscience is the poor translatability of research results from preclinical studies in animals to clinical outcomes. Comparative neuroscience can overcome this barrier by studying multiple species to differentiate between species-specific and general mechanisms of neural circuit functioning. Targeted manipulation of neural circuits often depends on genetic dissection, and use of this technique has been restricted to only a few model species, limiting its application in comparative research. However, ongoing advances in genomics make genetic dissection attainable in a growing number of species. To demonstrate the potential of comparative gene editing approaches, we developed a viral-mediated CRISPR/Cas9 strategy that is predicted to target the oxytocin receptor (Oxtr) gene in 80 rodent species. This strategy specifically reduced OXTR levels in all evaluated species (n = 6) without causing gross neuronal toxicity. Thus, we show that CRISPR/Cas9-based tools can function in multiple species simultaneously. Thereby, we hope to encourage comparative gene editing and improve the translatability of neuroscientific research.

The development of comparative gene editing strategies improves the translatability of animal research.

If I were a brilliant physicist, I would have written this.

Learn more about differential equations (and many other topics in maths and science) on Brilliant using the link https://brilliant.org/sabine. You can get started for free, and the first 200 will get 20% off the annual premium subscription.

Continue reading “I don’t believe in free will. This is why” »

Vice President of AI & Quantum Computing, Paul Smith-Goodson gives his analysis of quantum machine learning models and IonQ’s strategy to make it a reality.

Usually, the two characterizations of a material are mutually exclusive: something is either stiff, or it can absorb vibrations well—but rarely both. However, if we could make materials that are both stiff and good at absorbing vibrations, there would be a whole host of potential applications, from design at the nanoscale to aerospace engineering.

A team of researchers from the University of Amsterdam has now found a way to create materials that are stiff, but still good at absorbing vibrations—and equally importantly, that can be kept very light-weight.

Continue reading “Buckle up: A new class of materials is here” »