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2026-11-13

Google DeepMind02:00

Introducing Gemini 4 Hydrogen

Google launches Gemini 4 Hydrogen, a high-speed, efficient AI model designed for everyday coding, agentic workflows, and consumer use. It offers four thinking levels for adjustable speed and intelligence, outperforms previous models in benchmarks, and integrates across Google products including Search, the Gemini app, Google Sheets, and Google Antigravity. Hydrogen enhances multi-model collaboration through Orchestrator, improves safety and reliability, and is now available globally to all users via API, enterprise tools, and consumer platforms.

2026-11-12

SiliconANGLE AI22:00

Clipto enables ChatGPT and Claude to search and analyze years of people’s meetings and video calls

Artificial intelligence assistants such as ChatGPT and Claude have become essential tools for millions of workers worldwide, helping them compose emails in seconds, generate complex code and draft reports by looking at whatever data that person has access to. But there’s one thing that’s missing from those chatbots’ knowledge. Ask them what was discussed in […] The post Clipto enables ChatGPT and Claude to search and analyze years of people’s meetings and video calls appeared first on SiliconANGLE.

2026-11-11

AWS Machine Learning Blog02:11

Autonomous treasury agents: How Trovata built an AI-native solution on Amazon Bedrock and AgentCore

Learn how Trovata built autonomous treasury agents on Amazon Bedrock and Amazon Bedrock AgentCore, using an RBAC-secured architecture for bank-branded AI deployment and agentic workflows that move corporate treasury from manual operations to real-time decision-making at enterprise scale.

SiliconANGLE AI06:05

Financial institutions confront the complexities of scaling AI

AI in financial services is moving beyond the pilot phase as banks, capital markets firms, mortgage lenders and other organizations begin deploying the technology more broadly. The challenge is shifting toward managing AI responsibly at scale while meeting strict requirements for security, compliance and customer trust. The AWS Financial Services Symposium highlighted that transition in […] The post Financial institutions confront the complexities of scaling AI appeared first on SiliconANGLE.

2026-11-10

AWS Machine Learning Blog02:55

How CrossnoKaye grounds physical AI with Amazon Bedrock AgentCore

CrossnoKaye brought physical AI to heavy industry with Amazon Bedrock AgentCore. Its ATLAS platform and AURA agentic system ground AI reasoning in live plant data and run verifiable Python in isolated AgentCore sandboxes, giving plant engineers checkable, math-backed answers instead of model guesses.

2026-11-06

SiliconANGLE AI00:40

Oracle wants to pull stalled AI agents out of demo mode and into production

Companies want AI agents faster than they can build the AI architecture to run them. Most can put together a convincing demo. Far fewer can move agents into production without exposing data, hurting uptime or blowing their budgets. That gap is pushing database providers to rethink what a data platform for agents has to deliver. […] The post Oracle wants to pull stalled AI agents out of demo mode and into production appeared first on SiliconANGLE.

2026-10-30

SiliconANGLE AI20:03

The race to deploy AI agents finds a familiar hurdle in data access

Enterprises racing to put AI agents into production are discovering that role-based access control, not model choice, decides whether those agents can be trusted. Rising inference costs, privacy worries and sovereignty demands are also pulling more AI workloads back inside corporate data centers. That shift favors companies that have spent years governing sensitive data at […] The post The race to deploy AI agents finds a familiar hurdle in data access appeared first on SiliconANGLE.

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2026-10-26

SiliconANGLE AI23:58

Marvell’s early chipmaking gamble pays off amid AI demand

Eight years ago, chipmaker Marvell Technology Inc. decided to play leapfrog with nanometers, and its trajectory has been steadily upward since. In semiconductor manufacturing, nanometer designations identify generations of chipmaking technology, known as process nodes, rather than the exact physical dimensions of transistors. Advanced process nodes generally enable greater transistor density and improvements in performance […] The post Marvell’s early chipmaking gamble pays off amid AI demand appeared first on SiliconANGLE.

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