A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

Confidential computing (CC) emerges as an important solution, utilizing hardware-rooted Trusted Execution Environments to ...

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

VeryFL is a simple federated learning framework embedded with blockchain (Etherenum). Federated Learning side uses PyTorch while blockchain-side use Solidity deployed on Ethereum to implement on-chain ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Abstract: Batteries are essential for Electric Vehicles (EVs). Traditional Battery Management System (BMS) algorithms can be inadequate for State of Charge (SoC) estimation due to incorrect ...

Abstract: With the wide applications of industrial wireless network technologies, the industrial control system (ICS) is evolving from wired and centralized to wireless and distributed, during which ...

Spread the love“`html As we approach the midway point of the decade, it’s clear that the landscape of technology is evolving at an unprecedented pace. The tech trends for 2026 are not just interesting ...

Fraudulent Accounts Target Claude AI In a surprising turn of events, Anthropic has disclosed a significant security breach involving around 25,000 fraudulent accounts that were used to probe its ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...