What are the key challenges in addressing discrimination driven by artificial intelligence and automated decision-making ...

Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring. These methods ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Digg's relaunch comes after Reddit has faced sustained criticism over API lockdowns, heavy‑handed monetization, and data licensing to AI companies. These changes have opened a window for a rival that ...

Artificial intelligence has become a core component across trading desks, data platforms, and execution systems in the crypto ...

The Cryptographic Inventory Workshop is grounded in Patero's Automated Cryptography Discovery and Inventory (ACDI) methodology-a field-tested approach designed to help organizations rapidly surface ...

Digg's relaunch comes after Reddit has faced sustained criticism over API lockdowns, heavy‑handed monetization, and data licensing to AI companies. These changes have opened a window for a rival that ...

Smart AI governance isn’t about locking systems down or letting them run wild — it’s about giving teams freedom with just ...

After nine months of closed-door upgrades, TreasureNFT has completely and losslessly migrated original user data, asset ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

Discover how crypto malware operates through cryptojacking and ransomware, with real-world examples such as WannaMine and PowerGhost ...