Matillion Announced the Appointment of Tim O’Neil as CRO
Data industry veteran joins to scale enterprise go-to-market as AI Data Automation drives growing demand Matillion, builders of the AI Data Automation platform ‘Maia’, today announced the appointment of Tim O’Neil as Chief Revenue Officer (CRO). O’Neil brings deep expertise in enterprise data softwa...
Carahsoft, ServiceNow Expand Partnership Across U.S. and Canada
Partnership Extends ServiceNow AI Platform Availability Through Carahsoft’s 10,000+ resellers into Healthcare, Financial Services, Critical Infrastructure, and Enterprise Markets Carahsoft Technology Corp., The Trusted IT Solutions Provider®, and ServiceNow, (NYSE: NOW), the AI control tower for bus...
GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads.
Google AI Releases WAXAL: A Multilingual African Speech Dataset for Training Automatic Speech Recognition and Text-to-Speech Models
Speech technology still has a data distribution problem. Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems have improved rapidly for high-resource languages, but many African languages remain poorly represented in open corpora. A team of researchers from Google and other collaborat...
Hammerspace Debuts AI Data Platform Using NVIDIA Reference Design
The Only AI Data Platform for AI Anywhere, at Scale Unify Data In-Place and Automate High-Performance Delivery to GPUs Across Hybrid Cloud Hammerspace, the high-performance data platform for AI Anywhere, announced today the general availability of its new AI Data Platform (AIDP) solution. AIDP is a...
Cologne-based SaaS company closed three deals in final quarter of 2025 to bring total acquisitions to 25 saas.group, the platform for independent SaaS companies, has announced it has surpassed $100 million in annual recurring revenue (ARR) across its portfolio of more than 25 software brands. The m...
Translational Gaps in Graph Transformers for Longitudinal EHR Prediction: A Critical Appraisal of GT-BEHRT
arXiv:2603.13231v1 Announce Type: new
Abstract: Transformer-based models have improved predictive modeling on longitudinal electronic health records through large-scale self-supervised pretraining. However, most EHR transformer architectures treat each clinical encounter as an unordered collection ...
Your Code Agent Can Grow Alongside You with Structured Memory
arXiv:2603.13258v1 Announce Type: new
Abstract: While "Intent-oriented programming" (or "Vibe Coding") redefines software engineering, existing code agents remain tethered to static code snapshots. Consequently, they struggle to model the critical information embedded in the temporal evolution of p...
A Dual-Path Generative Framework for Zero-Day Fraud Detection in Banking Systems
arXiv:2603.13237v1 Announce Type: new
Abstract: High-frequency banking environments face a critical trade-off between low-latency fraud detection and the regulatory explainability demanded by GDPR. Traditional rule-based and discriminative models struggle with "zero-day" attacks due to extreme clas...
Benchmarking Zero-Shot Reasoning Approaches for Error Detection in Solidity Smart Contracts
arXiv:2603.13239v1 Announce Type: new
Abstract: Smart contracts play a central role in blockchain systems by encoding financial and operational logic. Still, their susceptibility to subtle security flaws poses significant risks of financial loss and erosion of trust. LLMs create new opportunities f...
Think First, Diffuse Fast: Improving Diffusion Language Model Reasoning via Autoregressive Plan Conditioning
arXiv:2603.13243v1 Announce Type: new
Abstract: Diffusion large language models (dLLMs) generate text via iterative denoising but consistently underperform on multi-step reasoning. We hypothesize this gap stems from a coordination problem: AR models build coherence token-by-token, while diffusion m...
Automating Document Intelligence in Statutory City Planning
arXiv:2603.13245v1 Announce Type: new
Abstract: UK planning authorities face a legislative conflict between the Planning Act, which mandates public access to application documents, and the Data Protection Act, which requires protection of personal information. This situation creates a manually inte...
Equipping workers with insights about compensation
New research shows Americans send nearly 3 million daily messages to ChatGPT asking about compensation and earnings, helping close the wage information gap.
TrajTok: Learning Trajectory Tokens enables better Video Understanding
Tokenization in video models, typically through patchification, generates an excessive and redundant number of tokens. This severely limits video efficiency and scalability. While recent trajectory-based tokenizers offer a promising solution by decoupling video duration from token count, they rely o...
Mistral AI Releases Mistral Small 4: A 119B-Parameter MoE Model that Unifies Instruct, Reasoning, and Multimodal Workloads
Mistral AI has released Mistral Small 4, a new model in the Mistral Small family designed to consolidate several previously separate capabilities into a single deployment target. Mistral team describes Small 4 as its first model to combine the roles associated with Mistral Small for instruction foll...
LangChain Announces Enterprise Agentic AI Platform Built with NVIDIA
Comprehensive agent engineering platform combined with NVIDIA AI enables enterprises to build, deploy, and monitor production-grade AI agents at scalePress ReleaseSAN FRANCISCO, March 16, 2026 /PRNewswire/ — LangChain, the agent engineering company behind LangSmith and open-source frameworks that ha...
Warren presses Pentagon over decision to grant xAI access to classified networks
Sen. Elizabeth Warren noted that Grok, xAI's controversial chatbot, has created harmful outputs for users and poses a potential national security risk.