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In field trials, colonies fed mycelium extract from amadou and reishi fungi showed a 79-fold reduction in deformed wing virus and a 45,000-fold reduction in Lake Sinai virus compared to control colonies.

Though it’s in the early stages of development, the researchers see great potential in this research.

“Our greatest hope is that these extracts have such an impact on viruses that they may help varroa mites become an annoyance for bees, rather than causing huge devastation,” said Steve Sheppard, a WSU entomology professor and one of the paper’s authors. “We’re excited to see where this research leads us. Time is running out for bee populations and the safety and security of the world’s food supply hinges on our ability to find means to improve pollinator health.”

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Researchers at IBM have recently devised a new technique to virtually patch security vulnerabilities before they are found. Their approach, presented at the International Workshop on Information and Operational Technology, co-located with RAID18, leverages testing techniques for supervised learning-based data generation.

“While researching a solution to find security vulnerabilities in popular software, we paused to think about the following problem: We know practically and theoretically that it is impossible to find all vulnerabilities in an application, and the security community is in a constant race to discover those vulnerabilities in the hope of finding them before the bad guys do,” Fady Copty, lead researcher of the study, told TechXplore. “This means enforcing regulations and constantly deploying to systems.”

Deploying a on an application is a tedious and time-consuming task, which entails a series of steps: identifying the vulnerable version of the application, managing this , delivering the , deploying it and then restarting the application. Often, patches are deployed over long periods of time, hence can remain vulnerable for a period after a vulnerability has been discovered. To speed up this process, researchers have recently introduced virtual patches, which are enforced using intrusion detection and prevention systems.

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Microalgae are showing huge potential as a sustainable source of biofuels.

Producing biofuels from renewable sources.

Due to concerns about peak oil, energy security, fuel diversity and sustainability, there is great interest around the world in renewable sources of biofuels.

Microalgae are great candidates for sustainable production of biofuels and associated bioproducts:

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A major threat to America has been largely ignored by those who could prevent it. An electromagnetic pulse (EMP) attack could wreak havoc on the nation’s electronic systems-shutting down power grids, sources, and supply mechanisms. An EMP attack on the United States could irreparably cripple the country. It could simultaneously inflict large-scale damage and critically limit our recovery abilities. Congress and the new Administration must recognize the significance of the EMP threat and take the necessary steps to protect against it.

Systems Gone Haywire

An EMP is a high-intensity burst of electromagnetic energy caused by the rapid acceleration of charged particles. In an attack, these particles interact and send electrical systems into chaos in three ways: First, the electromagnetic shock disrupts electronics, such as sensors, communications systems, protective systems, computers, and other similar devices. The second component has a slightly smaller range and is similar in effect to lightning. Although protective measures have long been established for lightning strikes, the potential for damage to critical infrastructure from this component exists because it rapidly follows and compounds the first component. The final component is slower than the previous two, but has a longer duration. It is a pulse that flows through electricity transmission lines-damaging distribution centers and fusing power lines. The combination of the three components can easily cause irreversible damage to many electronic systems.

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Last year, Microsoft Corp.’s Azure security team detected suspicious activity in the cloud computing usage of a large retailer: One of the company’s administrators, who usually logs on from New York, was trying to gain entry from Romania. And no, the admin wasn’t on vacation. A hacker had broken in.

Microsoft quickly alerted its customer, and the attack was foiled before the intruder got too far.

Chalk one up to a new generation of artificially intelligent software that adapts to hackers’ constantly evolving tactics. Microsoft, Alphabet Inc.’s Google, Amazon.com Inc. and various startups are moving away from solely using older “rules-based” technology designed to respond to specific kinds of intrusion and deploying machine-learning algorithms that crunch massive amounts of data on logins, behavior and previous attacks to ferret out and stop hackers.

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This is the first time that an entry from the Philippines has made it to the global finalists. http://verafiles.org/articles/filipino-it-experts-hope-nasa-…lenge-winn #SpaceApps #SpaceAppsPH


Filipino Information Technology enthusiasts are hoping that the temporary reopening of U.S. government operations after a 35-day shutdown would pave the way for the announcement of the winners in the NASA Space Apps Challenge, where one of the finalists is an app developed by a group of Filipino IT experts.

The announcement of the winners in the global competition was supposed to have been made in mid-January but has suffered a delay due to the federal government shutdown caused by a standoff over border security.

The shutdown, which began last Dec. 21, ended on Friday after U.S. President Donald Trump signed into law a funding measure that will allow the reopening of government operations until Feb. 15.

Mention artificial intelligence (AI) or artificial neural networks, and images of computers may come to mind. AI-based pattern recognition has a wide variety of real-world uses, such as medical diagnostics, navigation systems, voice-based authentication, image classification, handwriting recognition, speech programs, and text-based processing. However, artificial intelligence is not limited to digital technology and is merging with the realm of biology—synthetic biology and genomics, to be more precise. Pioneering researchers led by Dr. Lulu Qian at the California Institute of Technology (Caltech) have created synthetic biochemical circuits that are able to perform information processing at the molecular level–an artificial neural network consisting of DNA instead of computer hardware and software.

Artificial intelligence is in the early stages of a renaissance period—a rebirth that is largely due to advances in deep learning techniques with artificial neural networks that have contributed to improvements in pattern recognition. Specifically, the resurgence is largely due to a mathematical tool that calculates derivatives called backpropagation (backward propagation)—it enables artificial neural networks to adjust hidden layers of neurons when there are outlier outcomes for more precise results.

Artificial neural networks (ANN) are a type of machine learning method with concepts borrowed from neuroscience. The structure and function of the nervous system and brain were inspiration for artificial neural networks. Instead of biological neurons, ANNs have artificial nodes. Instead of synapses, ANNs have connections that are able to transmit signals between nodes. Like neurons, the nodes of ANNs are able to receive and process data, as well as activate other nodes connected to it.

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CERN has revealed plans for a gigantic successor of the giant atom smasher LHC, the biggest machine ever built. Particle physicists will never stop to ask for ever larger big bang machines. But where are the limits for the ordinary society concerning costs and existential risks?

CERN boffins are already conducting a mega experiment at the LHC, a 27km circular particle collider, at the cost of several billion Euros to study conditions of matter as it existed fractions of a second after the big bang and to find the smallest particle possible – but the question is how could they ever know? Now, they pretend to be a little bit upset because they could not find any particles beyond the standard model, which means something they would not expect. To achieve that, particle physicists would like to build an even larger “Future Circular Collider” (FCC) near Geneva, where CERN enjoys extraterritorial status, with a ring of 100km – for about 24 billion Euros.

Experts point out