Robo.ai Completes Initial Data Delivery Collection in Middle East
Robo.ai Inc. (NASDAQ: AIIO), a technology company developing a global artificial intelligence machine economy platform, today announced that following the execution of data collection services related agreement with DaBoss.AI Inc. (“DaBoss”) earlier this month, the parties have successfully complete...
Cambridge, UK, Feb. 26, 2026 (GLOBE NEWSWIRE) — Darktrace, a global leader in AI for cybersecurity, today announced the findings of its Annual Threat Report 2026, a comprehensive assessment of the global cyber threat landscape and the trends shaping cyber risk in 2026. Among its key findings, the re...
HaystackID Acquires eDiscovery AI to Accelerate Client-Driven GenAI Workflows
Acquisition of AI legal technology provider grows HaystackID’s ability to help clients manage legal, compliance, regulatory and cybersecurity matters with expanded GenAI options HaystackID, a trusted partner focused on managing complex data and workflow challenges, today announced it has acquired AI...
Virtualitics Names Salesforce’s Dave Rey as New Board Member
Rey brings decades of experience in the public sector software arena as Virtualitics continues rapid growth Virtualitics, the category leader in AI-native readiness applications for defense, government and critical infrastructure, today announced that Dave Rey will join the Board of Directors. Rey b...
Arcfra Launches Neutree to Power Scalable Enterprise AI Infrastructure
Arcfra, an innovator in cloud & AI-ready infrastructure, today announced the launch of Arcfra Neutree, an enterprise-grade Model-as-a-Service (MaaS) platform designed to industrialize AI operations. As the centerpiece of the new Arcfra AI Infrastructure Solution, Neutree shifts the enterprise focus ...
FireRedTeam Releases FireRed-OCR-2B Utilizing GRPO to Solve Structural Hallucinations in Tables and LaTeX for Software Developers
Document digitization has long been a multi-stage problem: first detect the layout, then extract the text, and finally try to reconstruct the structure. For Large Vision-Language Models (LVLMs), this often leads to ‘structural hallucinations’—disordered rows, invented formulas, or unclosed syntax. T...
Detoxifying LLMs via Representation Erasure-Based Preference Optimization
arXiv:2602.23391v1 Announce Type: new
Abstract: Large language models (LLMs) trained on webscale data can produce toxic outputs, raising concerns for safe deployment. Prior defenses, based on applications of DPO, NPO, and similar algorithms, reduce the likelihood of harmful continuations, but not r...
U-CAN: Utility-Aware Contrastive Attenuation for Efficient Unlearning in Generative Recommendation
arXiv:2602.23400v1 Announce Type: new
Abstract: Generative Recommendation (GenRec) typically leverages Large Language Models (LLMs) to redefine personalization as an instruction-driven sequence generation task. However, fine-tuning on user logs inadvertently encodes sensitive attributes into model ...
Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG
arXiv:2602.23410v1 Announce Type: new
Abstract: Brain foundation models have achieved remarkable advances across a wide range of neuroscience tasks. However, most existing models are limited to a single functional modality, restricting their ability to exploit complementary spatiotemporal dynamics ...
arXiv:2602.23413v1 Announce Type: new
Abstract: Recent work such as AlphaEvolve has shown that combining LLM-driven optimization with evolutionary search can effectively improve programs, prompts, and algorithms across domains. In this paradigm, previously evaluated solutions are reused to guide th...
HumanMCP: A Human-Like Query Dataset for Evaluating MCP Tool Retrieval Performance
arXiv:2602.23367v1 Announce Type: new
Abstract: Model Context Protocol (MCP) servers contain a collection of thousands of open-source standardized tools, linking LLMs to external systems; however, existing datasets and benchmarks lack realistic, human-like user queries, remaining a critical gap in ...
An Agentic LLM Framework for Adverse Media Screening in AML Compliance
arXiv:2602.23373v1 Announce Type: new
Abstract: Adverse media screening is a critical component of anti-money laundering (AML) and know-your-customer (KYC) compliance processes in financial institutions. Traditional approaches rely on keyword-based searches that generate high false-positive rates o...
Planning under Distribution Shifts with Causal POMDPs
arXiv:2602.23545v1 Announce Type: new
Abstract: In the real world, planning is often challenged by distribution shifts. As such, a model of the environment obtained under one set of conditions may no longer remain valid as the distribution of states or the environment dynamics change, which in turn...
How Clay uses LangSmith to debug, evaluate, and monitor 300 million agents runs per month
Clay is the creative tool for growth — a platform where go-to-market teams build, enrich, and activate lists of companies and people. Sales teams use Clay to source target accounts, qualify leads with AI-powered research, draft personalized outreach, and route opportunities through their CRM. Clay's...
Google AI Introduces STATIC: A Sparse Matrix Framework Delivering 948x Faster Constrained Decoding for LLM Based Generative Retrieval
In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models represent items as Semantic IDs (SIDs)—discrete token sequences—and treat retrieval as an autoregressive d...
Grow your LinkedIn Scarily Fast (For Data Scientists) with This AI Workflow
What if I told you, you often lose your next big role to someone much less credible than you? Unjust, yes, but certainly not untrue. Here is the reality: recruiters, founders, and collaborators don’t discover talent through Kaggle notebooks. They discover it through visibility. Visibility on the wor...
Zero-Waste Agentic RAG: Designing Caching Architectures to Minimize Latency and LLM Costs at Scale
Reducing LLM costs by 30% with validation-aware, multi-tier caching
The post Zero-Waste Agentic RAG: Designing Caching Architectures to Minimize Latency and LLM Costs at Scale appeared first on Towards Data Science.
If you have both unique domain expertise and know how to make it usable to your AI systems, you’ll be hard to beat.
The post Context Engineering as Your Competitive Edge appeared first on Towards Data Science.
Alibaba Team Open-Sources CoPaw: A High-Performance Personal Agent Workstation for Developers to Scale Multi-Channel AI Workflows and Memory
As the industry moves from simple Large Language Model (LLM) inference toward autonomous agentic systems, the challenge for devs have shifted. It is no longer just about the model; it is about the environment in which that model operates. A team of researchers from Alibaba released CoPaw, an open-so...
NVIDIA Advances Autonomous Networks With Agentic AI Blueprints and Telco Reasoning Models
Autonomous networks — intelligent, self-managing telecommunications operations — are moving from a future vision to a current priority for telecom operators. In the latest NVIDIA State of AI in Telecommunications report, network automation emerged as the top AI use case for investment and return on ...
NVIDIA and Partners Show That Software-Defined AI-RAN Is the Next Wireless Generation
AI-RAN is moving from lab to field, showing that a software-defined approach is the only viable way to build future AI-native wireless networks. Ahead of Mobile World Congress (MWC), running March 2-5 in Barcelona, NVIDIA and Nokia announced new AI-RAN collaborations with top telecom operators acros...
#492 – Rick Beato: Greatest Guitarists of All Time, History & Future of Music
Rick Beato is a music educator, interviewer, producer, songwriter, and a true multi-instrument musician, playing guitar, bass, cello & piano. His incredible YouTube channel celebrates great musicians & musical ideas, and helps millions of people fall in love with great music all over again. Thank yo...