A practical guide to identifying, restoring, and transforming elements within your images
The post Detecting and Editing Visual Objects with Gemini appeared first on Towards Data Science.
AI Governance Models and Their Role in Managing Ethical AI Challenges
AI Governance Models are key to managing ethical AI challenges, building trust, transparency, and long-term enterprise value. The companies that have the most advanced models will not be the winners. They will be the most developed AI Governance Model companies. The ability to do algorithms is commo...
Semantic Layers in the Wild: Lessons from Early Adopters
My first post made the case for what a semantic layer can bring to the modern enterprise: a single source of truth accessible to everyone who needs it—BI teams in Tableau and Power BI, Excel-loving analysts, application integrations via API, and the AI agents now proliferating across organizations—a...
SCAILIUM Partners with TD SYNNEX to Solve Global GPU Starvation
Empowering TD SYNNEX partners to operationalize AI at scale with GPU-native data infrastructure SCAILIUM, creator of the world’s first AI Production Layer, GPU-native software engine purpose-built for AI production at scale, today announced a strategic partnership with TD SYNNEX, a leading global di...
New Value-Based Framework Incentivizes Agentic AI Innovation and Customer Success OutSystems, a leading AI development platform, today announced the launch of Elevate, its redesigned global partner program. Built to accelerate AI development, Elevate marks a strategic shift to a global performance-d...
Pacific Northwest National Laboratory and OpenAI partner to accelerate federal permitting
OpenAI and Pacific Northwest National Laboratory introduce DraftNEPABench, a new benchmark evaluating how AI coding agents can accelerate federal permitting—showing potential to reduce NEPA drafting time by up to 15% and modernize infrastructure reviews.
ControlMonkey Expands Cloud Disaster Recovery to Network Vendors
New support for Cloudflare, Akamai and Fastly brings visibility and recovery to one of the most overlooked causes of outages ControlMonkey today announced its configuration-level disaster recovery to include network vendors and environments. Building on its 2025 category launch of Cloud Configuratio...
New data shows AI-first tools are accelerating employee-led software adoption and governance risk. Torii, the leading SaaS management and governance platform, today released its annual SaaS Benchmark Report, revealing that AI is accelerating SaaS sprawl and governance risk at a time when many predic...
Simplifying monitoring and management of remote devices Digi International, (NASDAQ: DGII), a leading global provider of Internet of Things (IoT) connectivity products, solutions and services, today announced the launch of its new Model Context Protocol (MCP) server for Digi Remote Manager® (DRM) an...
Zenarmor Introduces Industry-First SASE Channel Model
Global Zenarmor SASE Channel Partner Program Enables Partners to Deliver Complete SASE Functionality with Omnipresent, Single-App Enforcement Wherever Users and Applications Operate Zenarmor®, Inc., redefining secure access and network security with the industry’s only single-app, single-stack, sing...
Precisely Expands Data Integrity Suite with New AI Agents
AI-powered agents automate complex data workflows to deliver trusted, context-rich data ready for AI, analytics, and automation at scale Precisely, the global leader in data integrity, today announced new Data Quality, Data Enrichment, and Location Intelligence agents for the Precisely Data Integrit...
Prophet Security Secures Investments from Amex Ventures and Citi Ventures
Funding advances the adoption of the Prophet Agentic AI SOC Platform, enabling security teams to respond to threats faster and with greater accuracy. Prophet Security, Inc., a pioneer in Agentic AI for Security Operations, today announced strategic investments from Amex Ventures and Citi Ventures. T...
TELUS Digital Research Reveals a Hidden Risk in AI Model Behavior
Study shows the use of persona prompting can cause shifts in LLMs’ moral judgements,leading to unexpected and inconsistent responses For enterprises, this means careful model selection, rigorous testing and ongoing evaluation are essential to ensure consistent,reliable AI behavior in production A ne...
Nous Research Releases ‘Hermes Agent’ to Fix AI Forgetfulness with Multi-Level Memory and Dedicated Remote Terminal Access Support
In the current AI landscape, we’ve become accustomed to the ‘ephemeral agent’—a brilliant but forgetful assistant that restarts its cognitive clock with every new chat session. While LLMs have become master coders, they lack the persistent state required to function as true teammates. Nous Research ...
Latent Context Compilation: Distilling Long Context into Compact Portable Memory
arXiv:2602.21221v1 Announce Type: new
Abstract: Efficient long-context LLM deployment is stalled by a dichotomy between amortized compression, which struggles with out-of-distribution generalization, and Test-Time Training, which incurs prohibitive synthetic data costs and requires modifying model ...
ACAR: Adaptive Complexity Routing for Multi-Model Ensembles with Auditable Decision Traces
arXiv:2602.21231v1 Announce Type: new
Abstract: We present ACAR (Adaptive Complexity and Attribution Routing), a measurement framework for studying multi-model orchestration under auditable conditions. ACAR uses self-consistency variance (sigma) computed from N=3 probe samples to route tasks across...
AngelSlim: A more accessible, comprehensive, and efficient toolkit for large model compression
arXiv:2602.21233v1 Announce Type: new
Abstract: This technical report introduces AngelSlim, a comprehensive and versatile toolkit for large model compression developed by the Tencent Hunyuan team. By consolidating cutting-edge algorithms, including quantization, speculative decoding, token pruning,...
Group Orthogonalized Policy Optimization:Group Policy Optimization as Orthogonal Projection in Hilbert Space
arXiv:2602.21269v1 Announce Type: new
Abstract: We present Group Orthogonalized Policy Optimization (GOPO), a new alignment algorithm for large language models derived from the geometry of Hilbert function spaces. Instead of optimizing on the probability simplex and inheriting the exponential curva...
A Dynamic Survey of Soft Set Theory and Its Extensions
arXiv:2602.21268v1 Announce Type: new
Abstract: Soft set theory provides a direct framework for parameterized decision modeling by assigning to each attribute (parameter) a subset of a given universe, thereby representing uncertainty in a structured way [1, 2]. Over the past decades, the theory has...
A Hierarchical Multi-Agent System for Autonomous Discovery in Geoscientific Data Archives
arXiv:2602.21351v1 Announce Type: new
Abstract: The rapid accumulation of Earth science data has created a significant scalability challenge; while repositories like PANGAEA host vast collections of datasets, citation metrics indicate that a substantial portion remains underutilized, limiting data ...
Beyond Refusal: Probing the Limits of Agentic Self-Correction for Semantic Sensitive Information
arXiv:2602.21496v1 Announce Type: new
Abstract: While defenses for structured PII are mature, Large Language Models (LLMs) pose a new threat: Semantic Sensitive Information (SemSI), where models infer sensitive identity attributes, generate reputation-harmful content, or hallucinate potentially wro...
ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
arXiv:2602.21534v1 Announce Type: new
Abstract: Agentic reinforcement learning (ARL) has rapidly gained attention as a promising paradigm for training agents to solve complex, multi-step interactive tasks. Despite encouraging early results, ARL remains highly unstable, often leading to training col...