Not every problem needs an AI agent
A former head of data and machine learning engineering argues that not every problem needs an AI agent, citing a case where replacing ML models with AI agents at a former company led to unreliable res…
A former head of data and machine learning engineering argues that not every problem needs an AI agent, citing a case where replacing ML models with AI agents at a former company led to unreliable res…
A study of 21 novice programmers using generative AI tools found that while most completed their tasks, the tools widened the gap between high- and low-performing students. Struggling students experie…
BCG reports that agentic AI is shifting organizational transformation from centralized programs to team-led workflow redesign, with only 16% of Australian executives achieving significant value from G…
OpenTelemetry, the vendor-neutral CNCF specification for observability data, is revealing significant gaps in monitoring AI agents and RAG applications, according to a DevOps.com report. Traditional l…
A new meta-analysis of 23 studies on GenAI coding assistants, published on arXiv, found a statistically significant but moderate productivity gain in programming. However, the effect was highly contex…
At the 2026 Meta Marketing Summit E-Commerce edition in Bangalore and Mumbai, Meta executives announced that AI, video-first discovery, and conversational messaging are fundamentally reshaping India’s…
Google Cloud's Model Armor security service can be integrated with LangChain and the Agent Development Kit (ADK) for sanitizing prompts and responses in Generative AI applications. The second installm…
Intel's data center CPU sales surged as AI inference demand shifted system designs from 8-to-1 GPU-to-CPU ratios to 4-to-1 or even 2-to-1 configurations, increasing CPU content per AI system. Intel CF…