Lifeboat Foundation

Deep learning algorithms, such as convolutional neural networks (CNNs), have achieved remarkable results on a variety of tasks, including those that involve recognizing specific people or objects in images. A task that computer scientists have often tried to tackle using deep learning is vision-based human action recognition (HAR), which specifically entails recognizing the actions of humans who have been captured in images or videos.

Researchers at HITEC University and Foundation University Islamabad in Pakistan, Sejong University and Chung-Ang University in South Korea, University of Leicester in the UK, and Prince Sultan University in Saudi Arabia have recently developed a new CNN for recognizing human actions in videos. This CNN, presented in a paper published in Springer Link’s Multimedia Tools and Applications journal, was trained to differentiate between several different human actions, including boxing, clapping, waving, jogging, running and walking.

“We designed a new 26-layered convolutional neural network (CNN) architecture for accurate complex action recognition,” the researchers wrote in their paper. “The features are extracted from the global average pooling layer and fully connected (FC) layer and fused by a proposed high entropy-based approach.”

In just two years a robotic device that prints a patient’s own skin cells directly onto a burn or wound could have its first-in-human clinical trials. The 3D bioprinting system for intraoperative skin regeneration developed by Australian biotech start-up Inventia Life Science has gained new momentum thanks to major investments from the Australian government and two powerful new partners, world-renowned burns expert Fiona Wood and leading bioprinting researcher Gordon Wallace.

Codenamed Ligō from the Latin “to bind”, the system is expected to revolutionize wound repairs by delivering multiple cell types and biomaterials rapidly and precisely, creating a new layer of skin where it has been damaged. The novel system is slated to replace current wound healing methods that simply attempt to repair the skin, and is being developed by Inventia Skin, a subsidiary of Inventia Life Science.

“When we started Inventia Life Science, our vision was to create a technology platform with the potential to bring enormous benefit to human health. We are pleased to see how fast that vision is progressing alongside our fantastic collaborators. This Federal Government support will definitely help us accelerate even faster,” said Dr. Julio Ribeiro, CEO, and co-founder of Inventia.

Neuralink is building a brain-machine interface as well as a little robot that installs it into your skull.

A team of researchers with Google’s AI Quantum team (working with unspecified collaborators) has conducted the largest chemical simulation on a quantum computer to date. In their paper published in the journal Science, the group describes their work and why they believe it was a step forward in quantum computing. Xiao Yuan of Stanford University has written a Perspective piece outlining the potential benefits of quantum computer use to conduct chemical simulations and the work by the team at AI Quantum, published in the same journal issue.

Developing an ability to predict chemical processes by simulating them on computers would be of great benefit to chemists—currently, they do most of it through trial and error. Prediction would open up the door to the development of a wide range of new materials with still unknown properties. Sadly, current computers lack the exponential scaling that would be required for such work. Because of that, chemists have been hoping quantum computers will one day step in to take on the role.

Current quantum computer technology is not yet ready to take on such a challenge, of course, but computer scientists are hoping to get them there sometime in the near future. In the meantime, big companies like Google are investing in research geared toward using quantum computers once they mature. In this new effort, the team at AI Quantum focused their efforts on simulating a simple chemical process—the Hartree-Fock approximation of a real chemical system—in this particular case, a diazene molecule undergoing a reaction with hydrogen atoms, resulting in an altered configuration.

Neuralink will demonstrate a working brain-machine interfacing device at 3pm PT (6pm ET) on Friday. Musk says a second-generation robot designed to attach the company’s technology to the brain will be unveiled.

Intel scientist who built stephen hawking’s communicator is updating it with AI and GPT-2, open sourcing it.

Move.ai can use artificial intelligence to capture a 3D representation of an actor in a process known as motion capture. But it doesn’t need actors in Lycra suits with lots of white balls attached to them. And it enables game companies to do motion capture in a remote way during the pandemic.

That’s an important technological advancement, because the hassles of motion-capture systems have led to a stall in production for both movie makers and video game companies. Move.ai hopes to fix that with “markerless” motion capture that can lower the costs and hassles of doing the work.

The technology comes from a London company that started out capturing the images of sports athletes and turning them into digital animated objects. But the pandemic hobbled that business with the closing of physical sports events. Luckily, games need better realism to give players total immersion and engagement in an alternate reality, and that means that they need motion capture.

By Chuck Brooks In FORBES

The surge in digital connectivity and more sophisticated cyber-threats has promulgated the need for smart cybersecurity. Smart Cybersecurity is a logical reaction to try to manage risk by lessening security gaps often posed by reliance on manual processes that are impacted by a continual cybersecurity skills shortage and the administrative burdens of data security management.

Despite the challenges, there is promise for reducing dependence on humans and bolstering cybersecurity capabilities. A myriad of evolving cognitive technologies can help us enhance cybersecurity and navigate the increasingly malicious and disruptive cyber threat landscape. They include:

Continue reading “4 Evolving Technology Areas Of Smart Cybersecurity” »