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...
Anthropic, OpenAI, Google DeepMind and others have long promised to govern themselves responsibly. Now, in the absence of rules, there's not a lot to protect them.
Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
Authors: Harshad Sane, Andrew HalaneyImagine this — you click play on Netflix on a Friday night and behind the scenes hundreds of containers spring to action in a few seconds to answer your call. At Netflix, scaling containers efficiently is critical to delivering a seamless streaming experience to ...
The Intelligence Shift: The End of Human Expertise? Rethinking Knowledge in the Age of AI
February 2026 Edition 1 of "The Intelligence Shift." A deep exploration of how AI is reshaping the meaning of expertise, authority, and knowledge. This first article in our monthly series examines the rise of synthetic intelligence, the erosion of traditional authority, and the new human skills that...
Claude Skills and Subagents: Escaping the Prompt Engineering Hamster Wheel
How reusable, lazy-loaded instructions solve the context bloat problem in AI-assisted development.
The post Claude Skills and Subagents: Escaping the Prompt Engineering Hamster Wheel appeared first on Towards Data Science.
Scaling ML Inference on Databricks: Liquid or Partitioned? Salted or Not?
A case study on techniques to maximize your clusters
The post Scaling ML Inference on Databricks: Liquid or Partitioned? Salted or Not? appeared first on Towards Data Science.
Google DeepMind Introduces Unified Latents (UL): A Machine Learning Framework that Jointly Regularizes Latents Using a Diffusion Prior and Decoder
Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent space, models can scale effectively. However, a fundamental trade-off persists: lower information den...
A Coding Implementation to Build a Hierarchical Planner AI Agent Using Open-Source LLMs with Tool Execution and Structured Multi-Agent Reasoning
In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an aggregator agent, where each component plays a specialized role in solving complex tasks. We use the plan...
TigerConnect Launches AI-Powered Operator Console to Modernize Hospital Comms
Cloud-Native Smart Switchboard Replaces Legacy Operator Consoles TigerConnect, the leader in healthcare communication orchestration, today announced the launch of the TigerConnect Operator Console, a cloud-native, AI-powered hospital communication platform that modernizes how hospitals manage calls,...
One-click deployment of NVIDIA’s open-source inference framework across public, private, hybrid, and on-prem environments Gcore, the global infrastructure and software provider for AI, cloud, network, and security solutions, today announced the integration of NVIDIA Dynamo into its AI inference solu...