As the use of generative AI becomes increasingly common, we must beware of an algorithmic colonization of language and ...

Jefferies thinks quantum computing could break Bitcoin in years, not decades. Wood wrote in his recent weekly Greed & Fear investment newsletter that he had replaced his 10% position in Bitcoin with a ...

In 2025, the top political issue on New Yorkers’ minds was inflation. Poll after poll showed it ranking above crime, housing, ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Would you watch a movie generated entirely by AI? Or read a novel written by an algorithm? Examples of AI-generated art are pretty astounding, and users are now able to create hyper-realistic videos ...

Abstract: Deep neural networks are highly vulnerable to adversarial examples, which are inputs with small, carefully crafted perturbations that cause misclassification—making adversarial attacks a ...

As bitcoin BTC $89,355.63 struggles to hold above $90,000, market sentiment has once again slipped into extreme fear. Over the past year, fear or extreme fear has accounted for more than 30% of all ...

Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

Currently, the demo/ directory has limited examples demonstrating the use of the algorithms. Adding more Python examples will help new users understand how to work with the different algorithms ...