SitusAMC, a company that provides back-end services for top banks and lenders, disclosed on Saturday a data breach it had discovered earlier this month that impacted customer data. As a real-estate ...

Read More: AI Data Centers Are Sending Consumer Electric Bills Soaring The monitor’s analysis for the first time quantifies the cost of making data centers flexible as a way to extract more use out of ...

LinkedIn Is Using More User Data Than Ever to Train Its AI. Here's How to Opt Out As of Nov. 3, LinkedIn is now using data from members in the EU, EEA, Switzerland, Canada, and Hong Kong to train its ...

This is read by an automated voice. Please report any issues or inconsistencies here. Gov. Gavin Newsom vetoed a bill that would have tracked data centers’ growing water footprint in California. He ...

The Chat feature of Google AI Studio allows users to interact with Gemini models in a conversational format. This feature can make everyday tasks easier, such as planning a trip itinerary, drafting an ...

Starting today, customers with U.S.-based environments can add computer use to their agents directly as a tool - meaning agents can work directly with websites and applications. Computer use, now in ...

Rob Flowers, a 30-year veteran of the IT services industry, has been named vice president of federal client growth at NTT DATA North America. The executive announced his appointment on LinkedIn ...

The SQL Server MCP client is built with .NET Core using the Model Context Protocol C# SDK (github.com/modelcontextprotocol/csharp-sdk). It provides tools for ...

Nissan Japan has confirmed to BleepingComputer that it suffered a data breach following unauthorized access to a server of one of its subsidiaries, Creative Box Inc. (CBI). This came in response to ...

NPR's Adrian Ma speaks to Sam Levine, former director of the FTC's Bureau of Consumer Protection, now at UC Berkeley, about the use online data to charge some customers more for products and services.

Abstract: Models trained on static datasets often fail to adapt to evolving streaming data, leading to significant accuracy degradation. Federated unlearning can address this by removing outdated data ...