Gemini Omni: What it is and how to use it
Google’s Gemini Omni 1.1 Flash enables AI video generation and editing across Gemini, Google Flow, YouTube Shorts, and AI Studio with strong prompt adherence and multi-input support.
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Google’s Gemini Omni 1.1 Flash enables AI video generation and editing across Gemini, Google Flow, YouTube Shorts, and AI Studio with strong prompt adherence and multi-input support.
Snowflake’s sales finance team reduced monthly forecasting time from over a week to hours using an AI profile that provides standing context, cutting steps per answer from 3.0 to 1.3 and lowering costs.
Databricks benchmarked 528 agent-built pipelines, finding declarative authoring cheaper and faster than procedural code by catching errors early and reducing compute waste.
Volkswagen Group will deploy Microsoft Copilot to over 330,000 employees, aiming to enhance efficiency across engineering, production, procurement, and sales while prioritizing employee-centered AI adoption.
Snowflake introduces a framework to measure AI value beyond adoption metrics by tracking the complexity of AI-driven tasks and their spread across teams.
Vercel Connect now generates restricted Stripe API keys for each agent or task, replacing the need to use a single full-access key across projects.
Hugging Face introduces LitPivot, a tool that helps researchers refine early-stage ideas by dynamically linking proposals to relevant literature and suggesting revisions based on retrieved papers.
Google released Gemini 4 Argon, a new AI model designed for complex tasks like coding and 3D world-building, with developers already showcasing interactive tools and games.
HubSpot introduces LLM visibility tools to help marketers track brand presence in AI-generated answers across answer engines like ChatGPT and Perplexity.
OpenAI has strengthened security for internal frontier-model training environments by adding layered controls, red-teaming with advanced models, and removing live internet access to prevent unauthorized actions.
AI agents have evolved into practical tools for both personal and business use by 2026, with governed platforms and personal assistants leading the field.
Hugging Face launches a tool to check which Transformers models run unmodified on AWS Trainium, providing run scripts and performance metrics via a public Space.
HubSpot introduces a no-code AI agent builder for CRM users, enabling teams to automate tasks like campaign reviews and lead alerts without coding expertise.
Hugging Face introduces ThinkingBox-Training, a method converting database state checks into reinforcement learning rewards to improve agent reliability on unseen tasks.
Public sector agencies are modernizing legacy data systems to enable AI adoption and meet federal mandates, with Multnomah County and San Francisco sharing progress and lessons from their migrations.
Google Cloud now offers two deployment options for Anthropic’s Claude models, expanding model choice and consolidating AI workloads under unified billing.
Snowflake outlines a platform foundation for AI agents to autonomously investigate business questions, execute iterative analysis, and trigger governed actions within enterprise workflows.
Enterprises are shifting from maximizing AI token usage to measuring return on investment as cost management becomes critical for scaling AI without overspending.
Databricks introduces a unified real-time data platform to combat telecom fraud, addressing the 25% annual rise in U.S. fraud losses and the $4.88 million global average breach cost.
Databricks’ Patrick Wendell details how unchecked AI coding costs spiraled before the company introduced Unity Gateway, a control layer that cut unit costs by up to 90% while sustaining output gains.
Hugging Face releases OlmoEarth v1.3, a satellite embedding model with precomputed global embeddings and a browser tool for change detection and classification without technical barriers.
Google Cloud’s Knowledge Catalog now offers self-learning context enrichment and a new Knowledge Studio interface to automate and govern agent context, reducing manual upkeep and improving accuracy.
Google introduces Agent Compute Engine, a new cloud service designed to support AI agents with isolated, persistent microVMs, addressing scalability and security challenges in agentic AI workloads.
IBM’s open Granite time-series models now support ensemble forecasting via a new recipe that combines four architectures into a single, default probabilistic forecast without retraining or manual tuning.
European retailers are adopting NVIDIA-accelerated AI tools to enhance digital commerce, warehouse automation, and product discovery, with measurable gains in efficiency and sales.
Google Cloud introduces Agent Compute Engine and expanded agent governance to securely scale autonomous AI agents across environments, addressing infrastructure and security challenges for enterprise deployment.
Dust’s collaborative AI platform helps companies centralize and govern AI workflows, preserving control over data, context, and reusable traces while supporting multiple models.
NVIDIA introduces Kumo Relational, a pre-trained model that predicts outcomes directly from enterprise databases without training or feature engineering, outperforming supervised methods on relational benchmarks.
Hugging Face demonstrates a 77% reduction in inference costs for specialized small language models by optimizing tokenizers for domain-specific tasks rather than general use.
Hugging Face details how to profile PyTorch models on AWS Trainium using TorchNeuron, explaining system-level tracing and performance analysis workflows.