Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

A new model so sharp OpenAI put childproof caps on it. OpenAI has rolled out GPT-5.4-Cyber, a fine-tuned cousin of its ...

Random numbers are very important to us in this computer age, being used for all sorts of security and cryptographic tasks. [Theory to Thing] recently built a device to generate random numbers using ...

Abstract: True random number generators, which output truly random numbers by extracting entropy from physical phenomena such as thermal and electronic noises, are widely used in the field of the ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

According to Andrej Karpathy on Twitter, the Python random.seed() function produces identical random number generator (RNG) streams when seeded with positive and negative integers of the same ...

The foundation of the research lies in the principles of optical quantum randomness, where the probabilistic nature of photon detection at a beam splitter forms the core mechanism. Historically, ...

Researchers have developed a chip-based quantum random number generator that provides high-speed, high-quality operation on a miniaturized platform. This advance could help move quantum random number ...

Chip-based device paves the way for scalable and secure random number generation, an essential building block for future digital infrastructure Chip-based device paves the way for scalable and secure ...

We investigate how current noisy quantum computers can be leveraged for generating secure random numbers certified by Quantum Mechanics. While random numbers can be generated and certified in a device ...