The Army will focus on light robotic combat vehicles.
The two are worlds apart – and that’s a big problem when it comes to recruitment and retainment. On one side is the need to protect American citizens and data from cyber attackers looking to disrupt our way of life by keeping networks and access locked away in a building. On the other side is the best and brightest talent that will bring innovative solutions to our nation’s defense and security organizations who expect flexible remote access – and can easily find it in the private sector.
To maintain our status as a global world power and stay one step ahead of our adversaries, we are going to have to find a balance between the two. To do that, the way we work across the DoD and IC must change.
The Federal government understands the significance of remote access on meeting mission objectives now and in the future. Agency leaders are looking to the private sector for technology that helps them maintain the highest security levels while meeting the ease-of-access demands of today’s worker – and can be implemented quickly. To support this, the National Security Agency developed the Commercial Solutions for Classified (CSfC) program.
“In the nearly 22 years that I’ve served in Congress, we have come a long way in cyberspace,” said Rep. Jim Langevin, D-R.I.
A new collaboration between a researcher from the United States’ National Security Agency (NSA) and the University of California at Berkeley offers a novel method for detecting deepfake content in a live video context – by observing the effect of monitor lighting on the appearance of the person at the other end of the video call.
In our latest article, our Divisional Chief Nurse, Clare, discusses the social effects of friendships for people with learning disabilities and/or autism and the importance of those friendships. She also discusses how COVID-19 and the different restrictions have affected people with learning disabilities and/or autism and how best to support them.
Ever since the start of the hot Big Bang, time ticks forward as the Universe expands. But could time ever run backwards, instead?
Physicists have devised a mind-bending error-correction technique that could dramatically boost the performance of quantum computers.
Graphene scientists from The University of Manchester have created a novel “nano-petri dish” using two-dimensional (2D) materials to create a new method of observing how atoms move in liquid.
Publishing in the journal Nature, the team led by researchers based at the National Graphene Institute (NGI) used stacks of 2D materials like graphene to trap liquid in order to further understand how the presence of liquid changes the behavior of the solid.
The team were able to capture images of single atoms “swimming” in liquid for the first time. The findings could have widespread impact on the future development of green technologies such as hydrogen production.
MRI, electroencephalography (EEG) and magnetoencephalography have long served as the tools to study brain activity, but new research from Carnegie Mellon University introduces a novel, AI-based dynamic brain imaging technology which could map out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost. The advancement comes on the heels of more than thirty years of research that Bin He has undertaken, focused on ways to improve non-invasive dynamic brain imaging technology.
Brain electrical activity is distributed over the three-dimensional brain and rapidly changes over time. Many efforts have been made to image brain function and dysfunction, and each method bears pros and cons. For example, MRI has commonly been used to study brain activity, but is not fast enough to capture brain dynamics. EEG is a favorable alternative to MRI technology however, its less-than-optimal spatial resolution has been a major hindrance in its wide utility for imaging.
Electrophysiological source imaging has also been pursued, in which scalp EEG recordings are translated back to the brain using signal processing and machine learning to reconstruct dynamic pictures of brain activity over time. While EEG source imaging is generally cheaper and faster, specific training and expertise is needed for users to select and tune parameters for every recording. In new published work, He and his group introduce a first of its kind AI-based dynamic brain imaging methodology, that has the potential of imaging dynamics of neural circuits with precision and speed.
Researchers at the Francis Crick Institute have developed an imaging technique to capture information about the structure and function of brain tissue at subcellular level—a few billionths of a meter, while also capturing information about the surrounding environment.
The unique approach detailed in Nature Communications today (25 May), overcomes the challenges of imaging tissues at different scales, allowing scientists to see the surrounding cells and how they function, so they can build a complete picture of neural networks in the brain.
Various imaging methods are used to capture information about tissue, cells and subcellular structures. However, a single method can only capture information about either the structure or function of the tissue and looking in detail at a nanometer scale means scientists lose information about the wider surroundings. This means that to gain an overall understanding of the tissue, imaging techniques need to be combined.