Technology could nearly double writing speed for “locked-in” individuals.
Category: robotics/AI – Page 1889
Researchers from Russian corporation Neurobotics and the Moscow Institute of Physics and Technology have found a way to visualize a person’s brain activity as actual images mimicking what they observe in real time. This will enable new post-stroke rehabilitation devices controlled by brain signals. The team published its research as a preprint on bioRxiv and posted a video online showing their “mind-reading” system at work.
To develop devices controlled by the brain and methods for cognitive disorder treatment and post-stroke rehabilitation, neurobiologists need to understand how the brain encodes information. A key aspect of this is studying the brain activity of people perceiving visual information, for example, while watching a video.
The existing solutions for extracting observed images from brain signals either use functional MRI or analyze the signals picked up via implants directly from neurons. Both methods have fairly limited applications in clinical practice and everyday life.
Google’s DeepMind beat 99.8% of humans at StarCraft II, but bigger challenge was not giving itself away.
AI becomes grandmaster in ‘fiendishly complex’ StarCraft II.
Factory resets aren’t helping. Neither are mobile antivirus solutions. Malware keeps reinstalling itself.
A new way to calculate the interaction between a metal and its alloying material could speed the hunt for a new material that combines the hardness of ceramic with the resilience of metal.
The discovery, made by engineers at the University of Michigan, identifies two aspects of this interaction that can accurately predict how a particular alloy will behave—and with fewer demanding, from-scratch quantum mechanical calculations.
“Our findings may enable the use of machine learning algorithms for alloy design, potentially accelerating the search for better alloys that could be used in turbine engines and nuclear reactors,” said Liang Qi, assistant professor of materials science and engineering who led the research.
If you’re willing to dial things up to 10 (unfortunately there’s no 11), you can enjoy the device’s “Full AI Experience.”
Security researchers have been following the xHelper malware on Android with great interest, owing to the app’s seemingly incomprehensible ability to reinstall itself on an infected device despite factory resets.
The three-body problem has vexed mathematicians and physicists for 300 years, but AI can find solutions far faster than any other method anyone has come up with.
While it seems we are making great strides in unlocking the mysteries of the Universe, there is a sizable hole in what we know – up to 95% of the cosmos appears to be missing. We are talking about dark matter and dark energy, two useful, groundbreaking, but yet-to-be-directly-observed explanations for the vast majority of what exists. While there have been various attempts to pin down these ideas, inferred from their gravitational effects, a recent theory from a University of Oxford scientist claims to do away with them entirely. Instead, his model proposes something which may be even more unusual – what if the Universe is actually filled with a “dark fluid” possessing “negative mass”?
Dark matter takes up 27% of the known Universe (per NASA), while dark energy, a repulsive force that makes the Universe expand, gets 68%. Only 5% of the Universe is the observable world, including us and our planet. According to the model, proposed by Dr. Jamie Farnes, both dark matter and dark energy are unified in a fluid which has “negative gravity”. It repels all other material away.
“Although this matter is peculiar to us, it suggests that our cosmos is symmetrical in both positive and negative qualities,” wrote Farnes, astrophysicist, cosmologist and data scientist who worked at Oxford at the time of publishing his paper, and has since moved on to Faculty, a leading AI company.