The Atlanta Fed’s closely watched GDPNow model shows the U.S. economy surging ahead at a 3.9% annualized growth rate for the third quarter of the year, a strong reading that conflicts with some ...

TL;DR: Microsoft's Windows 11 Xbox App includes a Gaming Copilot AI assistant that captures and analyzes PC gaming via screenshots to train its AI models. Users should review and disable these ...

Abstract: Seismic exploration relies heavily on high-quality data acquisition, but practical limitations often result in incomplete seismic data, violating the Nyquist sampling theorem and introducing ...

Redgate Software, the end-to-end Database DevOps solution provider, is launching Redgate Data Modeler, a new SaaS-based data modeling tool that enables teams to collaboratively design, document, and ...

Access: Setup our MCP servers in your LLM application in 2 clicks via our CLI tool (starting with Claude, see Roadmap for next steps). Publish: Use provided templates and guidelines to quickly ...

The ATT&CK Data Model (ADM) provides a type-safe, object-oriented interface for working with MITRE ATT&CK datasets. Built on STIX 2.1 compliance, it uses Zod schemas and TypeScript types to ensure ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

As transportation and tech companies became increasingly intertwined over the past 20 years, private sector and open source data has exploded, Jinhua Zhao, professor of cities and transportation at ...

Talen Energy has restructured and significantly expanded its nuclear energy agreement with Amazon Web Services (AWS), finalizing a 17-year, $18 billion power purchase agreement (PPA) that will supply ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...