deep-learning

Scientific Reports, Published online: 22 August 2026; doi:10.1038/s41598-026-63976-0 Transmission line defect detection via an integrated improved YOLOv8 and deep neural random forest framework

See how DSTI expanded affordable European GPU access for master's students running real deep learning projects with Hivenet Compute.

Vision‑language mixture‑of‑experts still choke on high‑resolution images because the router treats every token identically, letting image patches overwhelm their expert lanes while text tokens sit idle. Geometry‑guided routing flips that script by carving out separate pathways for visual and linguistic tokens, restoring balance while maintaining comparable downstream quality. The prevailing solut…

The increasing need for energy security and the development of clean energy sources to mitigate the impact of climate change necessitate the development of multisource energy generation systems comprising solar panels, generators, and grids. Four hybrid deep learning models were developed to predict the solar power generation (SPG) from historical solar panel data. These include a time convolutio…

While Artificial Intelligence (AI) and Machine Learning (ML) hold significant promise for Engineering Design Optimization (EDO), traditional optimization approaches frequently suffer from excessive computational and time expenses. To overcome these barriers, this study introduces a high-performance optimization framework built upon three core contributions. First, a cost-effective data acquisitio…

Scientific Reports, Published online: 22 August 2026; doi:10.1038/s41598-026-68106-4 Multi-label arrhythmia classification from Holter scatter plots using deep learning and clinically oriented thresholds

Have you ever wondered how a computer can recognize a handwritten number, predict whether an email is spam, recommend a video, or understand a sentence? A lot of modern AI systems rely on something ca

AAEON, a provider of edge AI solutions, will present new platforms from across the AAEON portfolio alongside an AI vision wafer inspection demonstration at SEMICON Taiwan 2026. The post AAEON to Demonstrate High-Performance Computing for Next-Gen Semiconductor Manufacturing at SEMICON Taiwan appeared first on Semiconductor Digest .

Ultra‑Low‑Latency TTS: How to Generate Voice in < 50 ms on‑device Introduction Imagine a game NPC that answers your question the instant you speak it, or a live‑streamer who adds a multilingual voice‑over without any audible delay. Sub‑50 ms text‑to‑speech is no longer a research curiosity—it’s a production‑ready capability that developers can embed today. Recent releases from Nari Labs, Meta, an…

This week we’re talking about Mark Zuckerberg’s latest essay, “The Future Is for Everyone,” which outlines his positive new vision about the potential of A.I. But do we think it’s credible? Then, Pangram’s chief executive, Max Spero, joins us to talk about the breakout success of his A.I. slop detector. And finally, it’s time for our new segment all about math — we’re Running the Numbers.

Nature Reviews Physics, Published online: 29 July 2026; doi:10.1038/s42254-026-00962-5 The application of artificial intelligence to quantum information science has emerged as a frontier of research. This Technical Review summarizes how AI techniques, including machine learning, deep learning and language models, are establishing a new way to describe complex quantum systems.

Modern LLMs rely on quantization, pruning, distillation, and faster attention kernels, but production performance often depends most on KV cache management. As context windows grow, the cache consumes significant GPU memory, limiting concurrency, throughput, and latency. Two breakthroughs transformed this challenge: PagedAttention improves memory allocation, while RadixAttention enables efficient…