TIOBE Index for February 2026: Specialized Languages Gain Ground as Python’s Lead Eases

February 2026 TIOBE Index shows Python still far ahead, C strengthening in second, C# rising, and R holding the top 10 as rankings compress.
IEEE

Optimisation of a Lightweight Deep Learning Inference Engine for Embedded Virtualisation under Edge Intelligence

Abstract: Deep learning in edge computing faces two challenges, limited resources and real-time requirements. To address these issues, this paper explores an optimisation scheme for lightweight deep ...
IEEE

DualSpar: A Dual-Granularity Memory Framework with Adaptive Sparsity for Efficient LLM Inference

Abstract: The block-based inference engine, powered by noncontiguous key-value (KV) cache management, has emerged as a new paradigm for large language model (LLM) inference due to its efficient memory ...
GitHub

govind104/causal-uplift-engine

The Solution: "The Hard Market" This engine simulates a realistic, difficult market environment where 75% of customers are 'Neutral' (ignore ads). A traditional model fails here. Our T-Learner ...
Forbes

The New Frontier Of LLM Inference: Where The Next Tenfold Gains Will Come From

Shakti P. Singh, Principal Engineer at Intuit and former OCI model inference lead, specializing in scalable AI systems and LLM inference. Generative models are rapidly making inroads into enterprise ...
GitHub

Running async execute in the python backend the correct way

So for reasons of concurrency I rely on the async execute of the python backend. I read through all of your examples and while my solution works, I wonder what the "correct" way to do this is? I ...