Lifeboat Foundation

Last year, Princeton researchers identified a disturbing security flaw in which hackers could someday exploit internet-connected appliances to wreak havoc on the electrical grid. Now, the same research team has released algorithms to make the grid more resilient to such attacks.

In a paper published online in the journal IEEE Transactions on Network Science and Engineering, a team from Princeton’s Department of Electrical Engineering presented algorithms to protect against potential attacks that would spike demand from high-wattage devices such as air conditioners—all part of the “internet of things”—in an effort to overload the power grid.

“The cyberphysical nature of the grid makes this threat very important to counter, because a large-scale blackout can have very critical consequences,” said study author Prateek Mittal, an associate professor of electrical engineering.

The effects of Artificial Intelligence (AI) technologies have already been experienced by the people globally and the increasing utilization of technology has proven a revolutionary advancement in the current scenario of digitization. Knowledge reasoning, planning, machine learning, robotics, computer vision, and graphics are few of the most commonly used areas where the AI has exposed the potential to ease the result oriented operations. In addition to the above, the most common machinery i.e. smartphones are even now available with high-end AI rich features and functionalities. AI enabled smartphones can now be noticed in terms of learning the continued user behavior and applying the same itself, improved security of rich features and enhanced voice assistants exhibiting AI rich functionalities. However, the exposure of Artificial Intelligence like broadest technologies must not be limited up to improved machinery rich features along with process optimization and automation. There are the other best set of fields predicted to get benefit under the global hug of AI worldwide which are hereby mentioned below.

Food security is one of the biggest challenges we’re facing as we move further into this century. Changing climate, pests, stress on water and land are all limiting our ability to produce sufficient amounts of food. making food production an issue.

Synthetic biology offers ways to help produce and supply enough safe and nutritious food sustainably for the estimated 9 billion people that will inhabit the planet by 2050.

Here are a few ways how.

Apple’s FaceID authentication system started moving smartphone users away from relying on fingerprints to secure their mobile devices, which are arguably less secure. But researchers think they’ve come up with an even better biometric tool for protecting a device that uses a part of the body that’s nearly impossible to spoof: a user’s ear canals.

A team of researchers led by Zhanpeng Jin, an associate professor in the Department of Computer Science and Engineering in the University of Buffalo’s School of Engineering and Applied Sciences, created a new authentication tool called EarEcho, which is somewhat self-explanatory. The team modified a set of off the shelf earbuds with a tiny microphone that points inside the wearer’s ear, not out towards the world around them. It’s not there to pick up ambient sounds to facilitate a noise-canceling or feature, or even the wearer’s voice for making calls; the tiny mic is instead tuned to listen to the echo of sounds as they’re played and then propagate through the ear canal.

SHA-256 is a one way hashing algorithm. Cracking it would have tectonic implications for consumers, business and all aspects of government including the military.

It’s not the purpose of this post to explain encryption, AES or SHA-256, but here is a brief description of SHA-256. Normally, I place reference links in-line or at the end of a post. But let’s get this out of the way up front:

• Sept 11: Original disclosure
• Sept 11: Community skepticism
• Sept 12: Claim retracted: [announcement] [press]

One day after Treadwell Stanton DuPont claimed that a secret project cracked SHA-256 more than one year ago, they back-tracked. Rescinding the original claim, they announced that an equipment flaw caused them to incorrectly conclude that they had algorithmically cracked SHA-256.

“All sectors can still sleep quietly tonight,” said CEO Mike Wallace. “Preliminary results in this cryptanalytic research led us to believe we were successful, but this flaw finally proved otherwise.”

Continue reading “Was SHA-256 cracked? Don’t buy into retraction!” »

PARIS — The European Union’s equivalent of a foreign ministry is starting a new effort to promote the need for sustainable space operations, but that effort will not initially include any new regulation of European satellite operators.

Carine Claeys, special envoy for space and head of the Space Task Force for the European External Action Service, said in a Sept. 13 panel discussion at Euroconsult’s World Satellite Business Week that the Safety, Security and Sustainability of Outer Space (3SOS) public diplomacy initiative will promote “ethical conduct” in space amid concerns about orbital debris.

The acronym, she noted, has a second meaning. “It is also three times SOS,” she said, “to create the case and a sense of urgency.”

Bitcoin and cryptocurrency adoption has failed to live up to expectations over recent years and fears around scams, fraud, and theft have not helped.

The bitcoin price, after its epic 2017 bull run, slumped last year– though has rebounded in 2019, climbing back above $10,000 per bitcoin.

Now, researchers have warned a staggering four out of the first five results returned when asking Google for a “bitcoin qr generator” led to scam websites–potentially furthering negative public perception around bitcoin and cryptocurrency.

Would you consent to a surveillance system that watches without video and listens without sound?

If your knee-jerk reaction is “no!”, then “huh?” I’m with you. In a new paper in Applied Physics Letters, a Chinese team is wading into the complicated balance between privacy and safety with computers that can echolocate. By training AI to sift through signals from arrays of acoustic sensors, the system can gradually learn to parse your movements—standing, sitting, falling—using only ultrasonic sound.

To study author Dr. Xinhua Guo at the Wuhan University of Technology, the system may be more palatable to privacy advocates than security cameras. Because it relies on ultrasonic waves—the type that bats use to navigate dark spaces—it doesn’t capture video or audio. It’ll track your body position, but not you per se.

Computer vision is one of the most popular applications of artificial intelligence. Image classification, object detection and object segmentation are some of the use cases of computer vision-based AI. These techniques are used in a variety of consumer and industrial scenarios. From face recognition-based user authentication to inventory tracking in warehouses to vehicle detection on roads, computer vision is becoming an integral part of next-generation applications.

Computer vision uses advanced neural networks and deep learning algorithms such as Convolutional Neural Networks (CNN), Single Shot Multibox Detector (SSD) and Generative Adversarial Networks (GAN). Applying these algorithms requires a thorough understanding of neural network architecture, advanced mathematics and image processing techniques. For an average ML developer, CNN remains to be a complex branch of AI.

Apart from the knowledge and understanding of algorithms, CNNs demand high end, expensive infrastructure for training the models, which is out of reach for most of the developers.