Machine Learning at Scale: Managing More Than One Model in Production
From one model to managing a massive portfolio: What 10 years in the industry taught me
The post Machine Learning at Scale: Managing More Than One Model in Production appeared first on Towards Data Science.
Seqster Launches 1-Click DataLake for Clinical Trials
The New Platform Provides Life Sciences and Healthcare Companies Access to Longitudinal Data from 150M+ Patients Across the U.S. SEQSTER PDM, Inc. (“SEQSTER”), the leading healthcare technology company and the data connection, collection, and orchestration layer for patient health data, today announ...
How AstraZeneca is quietly rewiring Boston’s AI ecosystem
For AI professionals tired of hype decks and stalled pilots, AstraZeneca’s Boston strategy offers a practical blueprint for making AI work in complex, regulated environments.
PacBio Announces the Appointment of Chris Gibson to the BOD
Proven experience in leveraging AI in biology will strengthen the board of directors as PacBio develops data tools to maximize the power of HiFi sequencing PacBio (NASDAQ: PACB), a leading provider of high-quality, long-read sequencing technologies, today announced the appointment of Christopher Gib...
Built on Luma’s new Unified Intelligence architecture, Luma Agents introduce a new category of AI collaborators and are deployed today with global enterprise partners, including Publicis Groupe and Serviceplan Group Luma today announced the launch of Luma Agents, a new class of AI collaborators capa...
Sophos, Spektrum Launch Insurability Fastrack Program
Sophos MDR now helps organizations unlock enhanced cyber insurance terms from global carriers with Spektrum verifiable proof of cyber resilience Sophos, a global leader in innovative security solutions for defeating cyberattacks, and Spektrum Labs, the creator of the Fusion Platform for continuous c...
Terra Security Gains AWS Security Competency Status
AWS recognizes Terra Security as the inaugural validated provider of AI-powered autonomous penetration testing Terra Security, a pioneer in agentic Continuous Threat Exposure Management (CTEM), announced today that it has achieved Amazon Web Services (AWS) Security Competency status in the Applicati...
Arpio Adds Azure Support for Cloud Disaster Recovery
The Only Disaster Recovery Platform Created for Cloud Workloads Now Supports Azure — Bringing Rapid Recovery to Microsoft Environments Arpio, the cloud disaster recovery platform long-trusted by enterprises seeking to protect complex AWS environments, today announced the launch of its Azure capabili...
Beazley Security’s Exposure Management delivers visibility and personalized insights to help preempt attacks before they start. Beazley Security today announced availability of its Exposure Management product, which delivers continuous, automated discovery and intelligence-driven exposure notificati...
Nanochat Can Now Train a GPT-2 Level Model in Just 2 Hours
AI development is accelerating fast. Advances in hardware, software optimization, and better datasets now allow training runs that once took weeks to finish in hours. A recent update from AI researcher Andrej Karpathy shows this shift clearly: the Nanochat open-source project can now train a GPT-2 m...
Stamus Networks Appoints Mark Firmin as CEO and Patrick Deane as CFO
New leadership signals the next phase of growth, bringing proven go-to-market execution and financial discipline to a company at the forefront of transparent network detection and response. Stamus Networks, the global leader in Suricata-based network security and creator of the Clear NDR® platform, ...
AI Digital launches the AI Labs Incubator and AI Transformation Consultancy – a first-of-its-kind dual-engine model that builds frontier AI products in days and embeds them across organizations for lasting impact. AI Digital, the leading AI-native media consultancy, today announced the launch of its...
Traversal-as-Policy: Log-Distilled Gated Behavior Trees as Externalized, Verifiable Policies for Safe, Robust, and Efficient Agents
arXiv:2603.05517v1 Announce Type: new
Abstract: Autonomous LLM agents fail because long-horizon policy remains implicit in model weights and transcripts, while safety is retrofitted post hoc. We propose Traversal-as-Policy: distill sandboxed OpenHands execution logs into a single executable Gated B...
JAWS: Enhancing Long-term Rollout of Neural Operators via Spatially-Adaptive Jacobian Regularization
arXiv:2603.05538v1 Announce Type: new
Abstract: Data-driven surrogate models improve the efficiency of simulating continuous dynamical systems, yet their autoregressive rollouts are often limited by instability and spectral blow-up. While global regularization techniques can enforce contractive dyn...
arXiv:2603.05539v1 Announce Type: new
Abstract: We introduce VDCook: a self-evolving video data operating system, a configurable video data construction platform for researchers and vertical domain teams. Users initiate data requests via natural language queries and adjustable parameters (scale, re...
IntSeqBERT: Learning Arithmetic Structure in OEIS via Modulo-Spectrum Embeddings
arXiv:2603.05556v1 Announce Type: new
Abstract: Integer sequences in the OEIS span values from single-digit constants to astronomical factorials and exponentials, making prediction challenging for standard tokenised models that cannot handle out-of-vocabulary values or exploit periodic arithmetic s...
Autocorrelation effects in a stochastic-process model for decision making via time series
arXiv:2603.05559v1 Announce Type: new
Abstract: Decision makers exploiting photonic chaotic dynamics obtained by semiconductor lasers provide an ultrafast approach to solving multi-armed bandit problems by using a temporal optical signal as the driving source for sequential decisions. In such syste...
RoboLayout: Differentiable 3D Scene Generation for Embodied Agents
arXiv:2603.05522v1 Announce Type: new
Abstract: Recent advances in vision language models (VLMs) have shown strong potential for spatial reasoning and 3D scene layout generation from open-ended language instructions. However, generating layouts that are not only semantically coherent but also feasi...
Real-Time AI Service Economy: A Framework for Agentic Computing Across the Continuum
arXiv:2603.05614v1 Announce Type: new
Abstract: Real-time AI services increasingly operate across the device-edge-cloud continuum, where autonomous AI agents generate latency-sensitive workloads, orchestrate multi-stage processing pipelines, and compete for shared resources under policy and governa...
Reasoning Models Struggle to Control their Chains of Thought
arXiv:2603.05706v1 Announce Type: new
Abstract: Chain-of-thought (CoT) monitoring is a promising tool for detecting misbehaviors and understanding the motivations of modern reasoning models. However, if models can control what they verbalize in their CoT, it could undermine CoT monitorability. To m...
Evolving Medical Imaging Agents via Experience-driven Self-skill Discovery
arXiv:2603.05860v1 Announce Type: new
Abstract: Clinical image interpretation is inherently multi-step and tool-centric: clinicians iteratively combine visual evidence with patient context, quantify findings, and refine their decisions through a sequence of specialized procedures. While LLM-based a...
The World Won't Stay Still: Programmable Evolution for Agent Benchmarks
arXiv:2603.05910v1 Announce Type: new
Abstract: LLM-powered agents fulfill user requests by interacting with environments, querying data, and invoking tools in a multi-turn process. Yet, most existing benchmarks assume static environments with fixed schemas and toolsets, neglecting the evolutionary...