Autonomous Networks – The Next Frontier in Telecom Autonomous networks – intelligent, self‑managing telecommunications operations – are shifting from a future...
AI‑RAN: From Lab to Field Key Message: A software‑defined approach is the only viable way to build future AI‑native wireless networks. Recent Announcements MWC...
'JAN. 29, 2026
Article URL: https://dl.acm.org/doi/10.1145/3624725 Comments URL: https://news.ycombinator.com/item?id=47202864 Points: 38 Comments: 17...
Article: The Science of Detecting LLM-Generated Texthttps://dl.acm.org/doi/10.1145/3624725 Comments: Hacker News discussionhttps://news.ycombinator.com/item?id=...
Article URL: https://alexlitzenberger.com/blog/post.html?post=/building_a_minimal_transformer_for_10_digit_addition Comments URL: https://news.ycombinator.com/i...
We develop a discrete gauge-theoretic framework for superposition in large language models (LLMs) that replaces the single-global-dictionary premise with a shea...
Alibaba’s Qwen 3.5 Medium Model Series A little more than a day ago the Qwen AI team released the Qwen 3.5 Medium Model serieshttps://x.com/Alibaba_Qwen/status/...
Persistent Memory — Why It Matters Persistent memory doesn’t just store notes for an LLM; it shapes how the LLM thinks about problems. The same model, same pro...
An AI assist? The author of the MMWR report, county health official Katherine Houser, noted that the beer‑tent workers were hesitant to give details because th...
Shift from Chatbots to Autonomous Agents The world of Large Language Models LLMs is shifting. We are moving from simple chatbots that just “talk” to autonomous...
This paper presents a controlled empirical study of biologically motivated local learning for handwritten digit recognition. We evaluate an STDP-inspired compet...
!https://9to5google.com/wp-content/uploads/sites/4/2025/09/Gemini-Live-1.jpg?quality=82&strip=all&w=1600 Overview Since launch, Gemini Live has been a fullscree...
The promise of AI has always been democratization—technology that amplifies human capability without requiring specialized expertise. But until now, creating AI...
!Uchi Uchibekehttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%...
Agreement with the Pentagon Yesterday we reached an agreement with the Pentagon for deploying advanced AI systems in classified environments, which we requeste...
!youtube shorts logohttps://9to5google.com/wp-content/uploads/sites/4/2023/03/youtube-shorts-logo-circle-3.jpg?quality=82&strip=all&w=1600 The ability to build...
markdown Calling all Punch lovers: It's time to practice your AI detective skills By Timothy Beck Werthhttps://mashable.com/author/timothy-beck-werth !headshot...
markdown !AI eye – Getty Imageshttps://www.zdnet.com/a/img/resize/13f557f0ddc65b82d3dc6fb201edb966abfa41e5/2026/02/27/f4d75e1a-0784-46b5-9c19-16dd6450d0bc/aieye...
TL;DR: Work smarter with AI, not harder, thanks to this lifetime subscription to ChatPlayground AI Unlimited Planhttps://zdcs.link/Qxe7dP?pageview_type=Standard...
markdown !Agent_Asofhttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fup...
Anthropic says it would be “legally unsound” for the Pentagon to blacklist its technology after talks over military use of its artificial intelligence models br...
Introduction This is a submission for the DEV Weekend Challenge: Community. I write for The Agentic Engineer, a weekly newsletter tracking the agentic AI space...
'JAN. 29, 2026
Overview joshuarkhttps://slashdot.org/~joshuark shares a report from Ars Technica: Perplexity has introducedhttps://www.perplexity.ai/hub/blog/introducing-perp...
Google Opal’s New “Agent Step”: What It Means for Enterprise AI For the past year, the enterprise AI community has been locked in a debate about how much freed...
Introduction I’ve spent more than two decades designing enterprise systems, living through SOA, cloud, big data, microservices, and DevOps—each promising trans...
Background The Department of Defense has been in a dispute with Anthropic over AI safeguards. Defense Secretary Pete Hegseth warned that Anthropic could be lab...
Internship Overview During a summer internship at MIT Lincoln Laboratory, Ivy Mahncke, an undergraduate student of robotics engineering at Olin College of Engi...
Everyone's talking about RAG. Before I built one myself, it sounded really fancy. I knew it had something to do with providing documents to AI, and honestly, I...
Deposition Highlights In a newly released deposition filed in Elon Musk’s case against OpenAI, Musk attacked OpenAI’s safety record, claiming that his company,...
Dense 4D reconstruction from unposed images remains a critical challenge, with current methods relying on slow test-time optimization or fragmented, task-specif...
Scaling video generation from seconds to minutes faces a critical bottleneck: while short-video data is abundant and high-fidelity, coherent long-form data is s...
The fast-growing demands in using Large Language Models (LLMs) to tackle complex multi-step data science tasks create an emergent need for accurate benchmarking...
Multi-turn interactions with large language models typically retain the assistant's own past responses in the conversation history. In this work, we revisit thi...
GPU kernel optimization is fundamental to modern deep learning but remains a highly specialized task requiring deep hardware expertise. Despite strong performan...
Modern optimizers like Adam and Muon are central to training large language models, but their reliance on first- and second-order momenta introduces significant...
Transformers have been established as the de-facto backbones for most recent advances in sequence modeling, mainly due to their growing memory capacity that sca...
Identifiability in representation learning is commonly evaluated using standard metrics (e.g., MCC, DCI, R^2) on synthetic benchmarks with known ground-truth fa...
Many readers today struggle to assess the trustworthiness of online news because reliable reporting coexists with misinformation. The TREC 2025 DRAGUN (Detectio...
Humans perceive actions through key transitions that structure actions across multiple abstraction levels, whereas machines, relying on visual features, tend to...
We propose a minimal agentic baseline that enables systematic comparison across different AI-based theorem prover architectures. This design implements the core...
Neural networks are hypothesized to implement interpretable causal mechanisms, yet verifying this requires finding a causal abstraction -- a simpler, high-level...
Compositional generalization, the ability to recognize familiar parts in novel contexts, is a defining property of intelligent systems. Although modern models a...
In this article, bipartite ranking, a statistical learning problem involved in many applications and widely studied in the passive context, is approached in a m...
Identifying the full landscape of small and medium-sized enterprises (SMEs) in specialized industry sectors is critical for supply-chain resilience, yet existin...
Accurate fault detection and localization in electrical distribution systems is crucial, especially with the increasing integration of distributed energy resour...
Batch effects arising from technical variations in histopathology staining protocols, scanners, and acquisition pipelines pose a persistent challenge for comput...
