Expectations are like elbows - stop it - everyone has them. When it comes to the Washington Commanders, it seems just about everybody has an opinion or assertion as to how good or bad they’ll be in ...

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 ...

Abstract: Database modeling defines the logical design, structure, and specifications for data storage and access within a DataBase Management System (DBMS), a core component of any Information System ...

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.

Data are a crucial asset for organizations, making it essential for database designers to effectively organize and manage data using DataBase Management Systems (DBMS). DataBase design Concepts (DBCs) ...

Sales data shows modest numbers for Tesla’s updated Model Y in the month of April, though it’s not clear if it’s a trend or just a snapshot as Tesla ramps up production of the refresh of its most ...

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, ...

As Veeam Software Group GmbH, the market leader in data resiliency, holds its annual user event VeeamON in San Diego this week, it’s on a roll, continuing to stretch its lead over the legacy vendors.

Streamflow is an integral part of the hydrological cycle that is used for water resource planning and flood or drought forecasting, flood damage, and water-related risks evaluation. These aspects ...