Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...
An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud detection in digital environments. By combining machine ...
It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...
In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...
Tech Xplore on MSN
A new method to steer AI output uncovers vulnerabilities and potential improvements
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
ECE Prof. B.S. Manjunath, is honored as the first Frank Koenig Distinguished Chair — one four endowed chairs in the department From the Robert Mehrabian College of Engineering News (RMCOE) article ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Tech Xplore on MSN
Pinpointing direction in noisy 2D data: New algorithm could improve imaging, AI, particle research and more
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
News-Medical.Net on MSN
MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results