Coding After Coders: The End of Computer Programming as We Know It

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...
InfoQ

Claude Opus 4.6 Introduces Adaptive Reasoning and Context Compaction for Long-Running Agents

Anthropic’s Claude Opus 4.6 introduces "Adaptive Thinking" and a "Compaction API" to solve context rot in long-running agents. The model supports a 1M token context window with 76% multi-needle ...

Clockwork.io Introduces A New Class of Fault Tolerance to End Failure-Driven GPU Waste in AI Training

New TorchPass solution addresses a multi-million dollar challenge with AI infrastructure; uses Live GPU Migration to ...

Lemurian Labs Appoints Java Pioneer Kim Polese to Board, Adds MIT Compiler Leader Saman Amarasinghe as Technical Advisor

Two architects of modern computing join Lemurian Labs to help build AI infrastructure from the ground up SANTA CLARA, Calif., March 11, 2026 (GLOBE NEWSWIRE) -- Lemurian Labs today announced the ...
IEEE

Time Complexity of Training DNNs With Parallel Computing for Wireless Communications

Abstract: Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, ...
IEEE

Temporal Parallelization of the HJB Equation and Continuous-Time Linear Quadratic Control

Abstract: This article presents a mathematical formulation to perform temporal parallelization of continuous-time optimal control problems, which can be solved via the Hamilton–Jacobi–Bellman (HJB) ...