Automation reduces costs, but human oversight protects quality, trust, and brand reputation. Why the highest-performing teams are redesigning human input, not eliminating it.

The next wave of robotics depends on unifying code and hardware—embedding AI directly into the deterministic systems that ...

Announcing a new publication from Opto-Electronic Technology; DOI 10.29026/oet.2026.260010 .Researchers from Shanghai Institute of Optics and Fine ...

Public opinion shifts rapidly and benchmarks are not reliable.

As embedded applications grow in complexity and regulatory requirements evolve, SEGGER has continued to extend its offerings to address new technical and workflow challenges. Rece ...

Antitrust laws presume a meeting of minds. Section 3(1) of the Competition Act, 2002 prohibits any agreement causing an appreciable adverse effect on competitio ...

To meet the moment, brand leaders need to answer two questions: Are my pages optimized for AI search? If not, what can I do?​ ...

Unit4's Claus Jepsen on why semantic layers, deterministic guardrails, and vertical depth are what it takes to move from a ...

Scaled Cognition CEO Dan Roth explains how his company is developing reliable artificial intelligence (AI) models that don't ...

Quantifind raises $200M to expand its AI-powered risk intelligence platform for banks and government agencies worldwide.

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

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