Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...

Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Belligerent bot bullies maintainer in blog post to get its way Today, it's back talk. Tomorrow, could it be the world? On Tuesday, Scott Shambaugh, a volunteer maintainer of Python plotting library ...

North Korea-linked Lazarus campaign spreads malicious npm and PyPI packages via fake crypto job offers, deploying RATs and ...

As artificial intelligence continues to reshape industries at an unprecedented pace, venture capitalists face a critical ...

Discover the top 10 AI red teaming tools of 2026 and learn how they help safeguard your AI systems from vulnerabilities.

AMD is hiring a Senior AI/ML Lead in Hyderabad to lead the design, development, deployment, and optimization of AI/ML ...

Overview The best AI engineer courses 2026 focus on building real, job-ready projects.Combining AI engineering basics with LLM engineering leads to stronger car ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Abstract: Adversarial phenomena have been widely observed in machine learning (ML) systems, especially those using deep neural networks. These phenomena describe situations where ML systems may ...