🤖 AI 资讯聚合

E.SUN Bank is working with IBM to build clearer AI governance rules for how artificial intelligence can be used inside a bank. The effort reflects a wider shift in finance. Many firms already use AI for fraud checks and credit scoring, and some also use it to handle customer service queries. The...

Europe’s factory floors have a new kind of colleague. BMW Group has deployed humanoid robots in manufacturing in Germany for the first time, launching a pilot project at its Leipzig plant with AEON–a wheeled humanoid built by Hexagon Robotics.  It is the first automotive...

Managing the economics of multi-agent AI now dictates the financial viability of modern business automation workflows. Organisations progressing past standard chat interfaces into multi-agent applications face two primary constraints. The first issue is the thinking tax; complex autonomous agents...

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When Romy Gai, FIFA’s chief business officer, described the operational challenge of running a 48-team World Cup across Canada, Mexico and the United States, he was not talking about technology. He was talking about complexity. Previous World Cups relied on local organising committees to...

Virtual simulation data is driving the development of physical AI across corporate environments, led by initiatives like Ai2’s MolmoBot. Instructing hardware to interact with the real world has historically relied on highly expensive and manually-collected demonstrations. Technology providers...

Rakuten uses Codex, the coding agent from OpenAI, to ship software faster and safer, reducing MTTR 50%, automating CI/CD reviews, and delivering full-stack builds in weeks.

ADLINK Technology has signed a strategic alliance and joint development agreement with Under Control Robotics, the company behind the robotics startup Noble Machines. The two firms will combine ADLINK’s edge AI platforms with Noble Machines’ autonomy software to create a new generation of...

How ChatGPT defends against prompt injection and social engineering by constraining risky actions and protecting sensitive data in agent workflows.

Wayfair uses OpenAI models to improve ecommerce support and product catalog accuracy, automating ticket triage and enhancing millions of product attributes at scale.

How OpenAI built an agent runtime using the Responses API, shell tool, and hosted containers to run secure, scalable agents with files, tools, and state.

Large financial firms have spent years testing artificial intelligence in small projects, often limited to data analysis or customer support tools. The next phase appears to involve something more operational: systems that can take action in business workflows. Canadian insurer Manulife is moving...

The integration of physical AI into vehicles remains a primary objective for automakers looking to accelerate innovation. A technical collaboration between Qualcomm and Wayve offers a framework for how hardware and software providers can consolidate their efforts to supply production-ready advanced...

A new ABB and NVIDIA partnership shows physical AI simulation is driving real ROI in factory automation and solving production hurdles. Manufacturers have often found it difficult to make intelligent robotics work reliably outside testing environments. The core issue is the gap between digital...

Today we announced new beta features for Gemini in Sheets to help you create, organize and edit entire sheets, from basic tasks to complex data analysis — just describe …

In finance, achieving operational automation by integrating agentic AI requires a data-centric foundation to drive real value. Financial infrastructure provider SEI has engaged IBM to modernise its internal operations via AI and automation. The joint initiative focuses on process redesign and...

IH-Challenge trains models to prioritize trusted instructions, improving instruction hierarchy, safety steerability, and resistance to prompt injection attacks.

ChatGPT introduces interactive visual explanations for math and science, helping students explore formulas, variables, and concepts in real time.

Mastercard has completed its first live, authenticated agent-based payment transaction in Singapore, a milestone that advances autonomous AI commerce from proof of concept to everyday use. Announced on March 4, 2026, the transaction was carried out in partnership with DBS and UOB, two of Southeast...

AI insurance underwriting has been called the next frontier of insurtech for years. The difference now is that the money backing it has moved from venture bets into institutional conviction. On March 3, Boston-based Gradient AI securedgrowth capital financing from CIBC Innovation Banking, a lender...

OpenAI is acquiring Promptfoo, an AI security platform that helps enterprises identify and remediate vulnerabilities in AI systems during development.

Photos of animals being identified by the SpeciesNet AI model

Codex Security is an AI application security agent that analyzes project context to detect, validate, and patch complex vulnerabilities with higher confidence and less noise.

Descript uses OpenAI models to scale multilingual video dubbing, optimizing translations for both meaning and timing so dubbed speech sounds natural across languages.

See how Balyasny built an AI research system with GPT-5.4, rigorous model evaluation, and agent workflows to transform investment analysis at scale.

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Introducing GPT-5.4, OpenAI’s most most capable and efficient frontier model for professional work, with state-of-the-art coding, computer use, tool search, and 1M-token context.

OpenAI introduces CoT-Control and finds reasoning models struggle to control their chains of thought, reinforcing monitorability as an AI safety safeguard.

OpenAI shares new tools, certifications, and measurement resources to help schools and universities close AI capability gaps and expand opportunity.

Practical insights and frameworks to turn AI progress into business advantage

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Canvas in AI Mode is now available for everyone in the U.S. Plus, it can now help you draft documents or build interactive tools.

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&nbsp; You've built an AI agent that works well in development.

Traditional search engines have historically relied on keyword search.

Using large language models (LLMs) &mdash; or their outputs, for that matter &mdash; for all kinds of machine learning-driven tasks, including predictive ones that were already being solved long before language models emerged, has become something of a trend.

Google is partnering with the Massachusetts AI Hub to provide every Baystater with no-cost access to Google’s AI training.

New alternatives, “understand” and “ask” buttons in Google Translate help you navigate the complexities of natural language.

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Build with Nano Banana 2

Language models generate text one token at a time, reprocessing the entire sequence at each step.

Google Search interface featuring AI-powered tools including an "AI Overview" that breaks down an outfit's components and a virtual "Try it on" button that visualizes apparel on diverse body types.

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Data fusion , or combining diverse pieces of data into a single pipeline, sounds ambitious enough.

&nbsp; AI deployment is changing.

AI agents , or autonomous systems powered by agentic AI, have reshaped the current landscape of AI systems and deployments.

Have you ever tried connecting a language model to your own data or tools? If so, you know it often means writing custom integrations, managing API schemas, and wrestling with authentication.

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