Lifeboat Foundation

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” »

An amazing aspect of living in The Fourth Industrial Era is that we are at a new inflection point in bringing emerging technologies to life. We are in an era of scientific breakthroughs that will change the way of life as we currently know it. While there are many technological areas of fascination for me, the meshing of biology with machine is one of the most intriguing. It fuses many elements of technologies especially artificial intelligence and pervasive computing. I have highlighted two frontiers of “mind-bending” developments that are on the horizon, Neuromorphic technologies, and human-machine biology.

Neuromorphic Technologies

Human computer interaction (HCI) was an area of research that started in the 1980s and has come a long way in a short period of time. HCI was the foundation for what we call neuromorphic computing, the integration of systems containing electronic analog circuits to mimic neuro-biological architectures present in the biological nervous system.

Reliable Robotics, a startup developing autonomous flight technologies, this week emerged from stealth with $33.5 million in venture capital funding. Cofounder and CEO Robert Rose says the funds will be used to scale production of the company’s products and bring on new engineering talent.

Aviation companies pursuing autonomous transportation include Uber, Boeing, and Honeywell. According to management consulting firm Oliver Wyman, replacing single-pilot operations with autonomous planes could save airlines as much as $60 billion annually. Pandemic headwinds have only reinvigorated the search for cost-cutting opportunities, as Statista estimates airlines will lose at least $314 billion in revenue in 2020.

Looking to expedite their path to market, companies like Xwing, Airbus, and Elroy Air have explored retrofitting existing aircraft rather than developing hardware from scratch. Reliable Robotics, which was founded in 2017 by Rose and VP of engineering Juerg Frefel, aims to develop a platform that imbues any fixed-wing plane with autonomous capabilities.

Robot vending machines designed specifically for pizza is the future we need right now.

Accurate computational prediction of chemical processes from the quantum mechanical laws that govern them is a tool that can unlock new frontiers in chemistry, improving a wide variety of industries. Unfortunately, the exact solution of quantum chemical equations for all but the smallest systems remains out of reach for modern classical computers, due to the exponential scaling in the number and statistics of quantum variables. However, by using a quantum computer, which by its very nature takes advantage of unique quantum mechanical properties to handle calculations intractable to its classical counterpart, simulations of complex chemical processes can be achieved. While today’s quantum computers are powerful enough for a clear computational advantage at some tasks, it is an open question whether such devices can be used to accelerate our current quantum chemistry simulation techniques.

In “Hartree-Fock on a Superconducting Qubit Quantum Computer”, appearing today in Science, the Google AI Quantum team explores this complex question by performing the largest chemical simulation performed on a quantum computer to date. In our experiment, we used a noise-robust variational quantum eigensolver (VQE) to directly simulate a chemical mechanism via a quantum algorithm. Though the calculation focused on the Hartree-Fock approximation of a real chemical system, it was twice as large as previous chemistry calculations on a quantum computer, and contained ten times as many quantum gate operations. Importantly, we validate that algorithms being developed for currently available quantum computers can achieve the precision required for experimental predictions, revealing pathways towards realistic simulations of quantum chemical systems.