The first is the convergence of software and data engineering disciplines. The second is the rise of generative AI, which is accelerating both technical and organizational change. The Convergence Of ...

Engineers who understand how to impose structure around model behavior play a critical role in turning experimental workflows ...

The computing community has largely treated AI hallucinations as a model problem. The default path to reliability has been model improvement: better training data, larger context windows, retrieval ...

When a worker thread completes a task, it doesn't return a sprawling transcript of every failed attempt; it returns a compressed summary of the successful tool calls and conclusions.

The article argues that, based on Victor Eyanga’s experience, the real challenge in digital infrastructure is not innovation ...

University of Pittsburgh professors Lev Khazanovich and Julie Vandenbossche have secured a highly competitive $600,000, three-year grant from the National Academies' National Cooperative Highway ...

Technologists call this invisible liability technical debt. Software engineer Ward Cunningham introduced the metaphor to describe the future cost created when teams choose a faster or easier solution ...

Artificial intelligence adoption is accelerating, but many companies struggle to integrate advanced tools into real-world operations. This gap has elevated the role of forward deployed engineers, ...

The future will not wait for Nigeria to catch up. Artificial Intelligence is reshaping industries at a pace that leaves no ...

In recent months, the attention of the IT community has focused on the unpredictability of failures in large systems and the ...

Renesas 365 directly addresses such challenges by connecting previously isolated tools such as embedded software files, datasheets and application notes into a streamlined, cloud-managed platform.

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.