Remarkably, there were actually fewer people working in the industry at the center of the AI boom at the end of the year than ...

That mismatch is creating a risk most organizations are not tracking: cryptographic debt—the accumulated risk and cost that ...

Computational biology, a field that has emerged at the intersection of biology, computer science, and mathematics, has revolutionized our understanding of living systems. By leveraging computational ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Area basketball coaches have concerns about the CIF-Southern Section's computer rankings system for playoff seedings ahead of ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that analyzes drone, camera, and sensor data to reveal unusual vehicle patterns that ...

Since the dawn of the computer age, researchers have wrestled with two persistent challenges: how to store ever-increasing ...

Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...

Proper use of AI and automation tools can transform tax time into a continuous, integrated, year-round process rather than a ...

E Network Technology Group Limited (Nasdaq: MASK, '3 E' or the 'Company'), a business-to-business ('B2B') information ...

Quantum computing is advancing quickly and is raising new questions about the long-term security of blockchain systems.

Quantum computing serves as a great example. Even if you don't have mastery of the complex technology, you can still profit ...