DH2i®, the world's leading provider of always-secure and always-on IT solutions, today announced the release of a new hands-on tutorial titled, "Build a Test Lab for SQL Server 2025 on Kubernetes ...

Adversarial prompting refers to the practice of giving a large language model (LLM) contradictory or confusing instructions ...

Like every Big Tech company these days, Meta has its own flagship generative AI model, called Llama. Llama is somewhat unique among major models in that it’s “open,” meaning developers can download ...

Google released a Model Context Protocol (MCP) server for Data Commons, exposing the project’s interconnected public datasets—census, health, climate, economics—through a standards-based interface ...

Abstract: Spatio-temporal data like a Dynamically Weighted Directed Network (DWDN) are ubiquitous in bigdata applications like an intelligent recommender system. They commonly illustrate the complex ...

import numpy as np import pandas as pd import matplotlib.pyplot as plt from datetime import datetime, timedelta import warnings warnings.filterwarnings('ignore') from gluonts.dataset.pandas import ...

Abstract: The widespread adoption of Transformers in deep learning, serving as the core framework for numerous large-scale language models, has sparked significant interest in understanding their ...

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.

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, ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

The analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into ...