Welcome to the second installment of this comprehensive annual look at global cybersecurity industry prediction reports from ...
This is more true today than ever before. AI does not fail because of weak ambition or insufficient computing power. It fails because the underlying data infrastructure cannot keep up.
In the end, critical infrastructure’s biggest quantum risk is the outdated, manual trust models of today. Only by replacing ...
The Trump administration wants to revamp U.S. childhood vaccination recommendations to align with some other peer nations, ...
Abstract: The growing potential for Unmanned Aerial vehicles (UAVs) is creating new business opportunities. Drones, U-space, UTM, and their application to Air Mobility are fostering new applications ...
The silicon iron curtain that descended in 2025 may prove as consequential as the one that divided Europe for half a century. Only this time, the fault line runs through every smartphone, data center, ...
The system employs HMAC-SHA256 (Hash-based Message Authentication Code using SHA-256) for license integrity verification. SHA-256 refers to the Secure Hash Algorithm producing 256-bit hash values (see ...
Abstract: Reducing the root-mean-square (RMS) current through dc-link capacitors is critically challenging in parallel dual-inverter-fed drive systems, as dc-link currents are heavily influenced by ...
The U.S. auto safety investigation into the sedans' emergency door release controls renews scrutiny over Tesla's door design.
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
The agency received a defect petition alleging that the vehicles' mechanical door release is hidden, unlabeled and not easy ...