Quantum computers have the potential to revolutionize computing by solving complex problems that stump even today's fastest ...

Deep learning (DL)-based methods have been successfully employed as asynchronous classification algorithms in the steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) ...

When it comes to storing images, DNA strands could be a sustainable, stable alternative to hard drives. Researchers at EPFL are developing a new image compression standard designed specifically for ...

Initial testing focuses on improving block propagation for Ethereum, with broader expansion planned for other Layer 1s.

The company says it has cracked the code for error correction and is building a modular machine in New York state.

Deep neural networks (DNNs) have been widely used in the field of synthetic aperture radar (SAR) image classification, but they also face increasingly serious threats from various malicious attacks, ...

Malicious instructions encoded in hexadecimal format could have been used to bypass ChatGPT safeguards designed to prevent misuse. The new jailbreak was disclosed on Monday by Marco Figueroa, gen-AI ...

With the exponential growth of digital data and the limitations of conventional silicon-based storage and computing technologies, bio-inspired, DNA-driven computing and information storage has ...

But how could attackers exploit this? Encoding Differentials The purpose of character encoding is to translate characters into a computer-processable byte sequence. These bytes can be transmitted over ...

Her project, “From Dirty Data to Fair Prediction: Data Preparation Framework for End-to-End Equitable Machine Learning,” targets the data-preparation pipeline as a strategic opportunity for ...