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Since joining the industry earlier this year, I’ve quickly seen how much attention and urgency mortgage rates create. I understood their importance as a consumer, of course. But seeing the industry from the inside has made it clearer how deeply they influence conversations among homebuyers, lenders, economists, reporters and marketers.

Researchers at a cybersecurity startup said AI agents found paths into Anthropic’s business systems in less than 12 hours, according to a Washington Post report published Monday.

Narmi, a provider of digital banking technology for financial institutions, has extended its Model Context Protocol (MCP) capabilities to Microsoft 365 Copilot. The move gives banks and credit unions secure access to customer financial information within the administrative workflows their staff already use.

Shopify stock jumped 33% in a month on Meta’s Muse deal, and ATB Cormark downgraded it after the run.y

A new artificial-intelligence tool quickly transforms a research paper into a bespoke AI agent that serves as a “virtual corresponding author”. The agent can respond immediately to questions about the paper, providing a convenient way for scientists to grasp advances in unfamiliar fields. It can also apply the paper’s methods to a fresh data set…

[Sportschosun reporter Jo Ji-young] Seo Eun-soo shows a new side as a passionate baseball team leader.

Here’s what happened when I assigned distinct roles to Claude, Gemini, and ChatGPT. This setup was a double-edged sword. By •

GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI models has been doubling approximately every five months, while the size of datasets used to train LLMs has been doubling approximately every eight months. As computation and data scale together, moving data efficiently from…

Loan Market Group has plugged its asset finance CRM into artificial intelligence, opening the door for brokers to work through conversational prompts rather than manual data entry.

Agentic AI security is testing where enterprises place their trust as software gains the ability to access sensitive data and act on users’ behalf. The challenge extends from controlling individual requests to governing actions that can span multiple systems and business processes.