This means an AI system could gradually become less helpful, more deceptive, or even actively harmful without anyone ...

This approach allows developers to create applications through natural language conversations rather than traditional ...

ChargeGuru’s Head of Engineering, Laurent Salomon, tells us how he used low-code tooling and an explicit ontology to build ...

Pacific Northwest National Labs trains an AI system, dubbed ALOHA, to recreate attacks and test them against organizations' ...

Thomasville High School and Thomas County Central both wrapped up their Smart Manufacturing Pilot course on Friday afternoon, ...

Active malware exploits DLL side-loading in a signed GitKraken binary to deliver trojans, stealers, and remote access malware ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

Electronics, Semiconductors & Computer Engineering has emerged not merely as a new academic pathway, but as an essential direction that aligns with how modern technology is built, paving a new ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

From Power Query to the Data Model, here are the five architectural gaps that keep me paying for Microsoft 365.