Hierarchical Sparse Plus Low Rank Compression of LLM
arXiv:2601.07839v1 Announce Type: new
Abstract: Modern large language models (LLMs) place extraordinary pressure on memory and compute budgets, making principled compression indispensable for both deployment and continued training. We present Hierarchical Sparse Plus Low-Rank (HSS) compression, a t...
RewriteNets: End-to-End Trainable String-Rewriting for Generative Sequence Modeling
arXiv:2601.07868v1 Announce Type: new
Abstract: Dominant sequence models like the Transformer represent structure implicitly through dense attention weights, incurring quadratic complexity. We propose RewriteNets, a novel neural architecture built on an alternative paradigm: explicit, parallel stri...
Multiplicative Orthogonal Sequential Editing for Language Models
arXiv:2601.07873v1 Announce Type: new
Abstract: Knowledge editing aims to efficiently modify the internal knowledge of large language models (LLMs) without compromising their other capabilities. The prevailing editing paradigm, which appends an update matrix to the original parameter matrix, has be...
Bridging the Trust Gap: Clinician-Validated Hybrid Explainable AI for Maternal Health Risk Assessment in Bangladesh
arXiv:2601.07866v1 Announce Type: new
Abstract: While machine learning shows promise for maternal health risk prediction, clinical adoption in resource-constrained settings faces a critical barrier: lack of explainability and trust. This study presents a hybrid explainable AI (XAI) framework combin...
Executable Ontologies in Game Development: From Algorithmic Control to Semantic World Modeling
arXiv:2601.07964v1 Announce Type: new
Abstract: This paper examines the application of Executable Ontologies (EO), implemented through the boldsea framework, to game development. We argue that EO represents a paradigm shift: a transition from algorithmic behavior programming to semantic world model...
When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning
arXiv:2601.07965v1 Announce Type: new
Abstract: When a model knows when it does not know, many possibilities emerge. The first question is how to enable a model to recognize that it does not know. A promising approach is to use confidence, computed from the model's internal signals, to reflect its ...
Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety
arXiv:2601.08000v1 Announce Type: new
Abstract: Ensuring that Large Language Models (LLMs) adhere to safety principles without refusing benign requests remains a significant challenge. While OpenAI introduces deliberative alignment (DA) to enhance the safety of its o-series models through reasoning...
A consumer watchdog issued a warning about Google’s AI agent shopping protocol — Google says she’s wrong
A consumer economics watchdog says Google's new Universal Commerce Protocol is ripe for misuse where consumers could pay more for items. Google denies this.
If you are searching for free LLM APIs, chances are you already want to build something with AI. A chatbot. A coding assistant. A data analysis workflow. Or a quick prototype without burning money on infrastructure. The good news is that you no longer need paid subscriptions or complex model hosting...
GPUs: Enterprise AI’s New Architectural Control Point
Over the past two years, enterprises have moved rapidly to integrate large language models into core products and internal workflows. What began as experimentation has evolved into production systems that support customer interactions, decision-making, and operational automation. As these systems sc...
From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolution in Microsoft Fabric
Dataflows were (rightly?) considered "the slowest and least performant option" for ingesting data into Power BI/Microsoft Fabric. However, things are changing rapidly and the latest Dataflow enhancements changes how we play the game
The post From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolu...
Anthropic Releases Cowork As Claude’s Local File System Agent For Everyday Work
Anthropic has released Cowork, a new feature that runs agentic workflows on local files for non coding tasks currently available in research preview inside the Claude macOS desktop app. What Cowork Does At The File System Level Cowork currently runs as a dedicated mode in the Claude desktop app. Whe...
Under the Uzès Sun: When Historical Data Reveals the Climate Change
Longer summers, milder winters: analysis of temperature trends in Uzès, France, year after year.
The post Under the Uzès Sun: When Historical Data Reveals the Climate Change appeared first on Towards Data Science.
Understanding the Layers of AI Observability in the Age of LLMs
Artificial intelligence (AI) observability refers to the ability to understand, monitor, and evaluate AI systems by tracking their unique metrics—such as token usage, response quality, latency, and model drift. Unlike traditional software, large language models (LLMs) and other generative AI applica...
This AI spots dangerous blood cells doctors often miss
A generative AI system can now analyze blood cells with greater accuracy and confidence than human experts, detecting subtle signs of diseases like leukemia. It not only spots rare abnormalities but also recognizes its own uncertainty, making it a powerful support tool for clinicians.
CloseMate Leads a New Era of Artificial Intelligence
CloseMate today opened early access for the world’s first Fully Autonomous CRM powered by AGI-grade logic, introducing a shift from Software as a Service to Service as Software, a paradigm where you purchase guaranteed outcomes rather than mere access to tools. Unlike conventional CRMs that rely on ...
Speechmatics, Sully.ai Partner to Scale Healthcare AI Infrastructure Globally
The partnership combines medical-grade speech models with autonomous agent and scribe solutions to eliminate administrative burden across enterprise healthcare, powered by NVIDIA Speechmatics and Sully.ai today announced a strategic partnership to power the next generation of autonomous healthcare a...
CrowdStrike and Nord Security Partner to Redefine SMB Cybersecurity
CrowdStrike (NASDAQ: CRWD) and Nord Security today announced a strategic partnership to redefine SMB cybersecurity. The collaboration combines CrowdStrike’s AI-native Falcon® platform with Nord Security’s secure access and credential management solutions to deliver enterprise-grade protection that’s...