Oracle Unveils AI Database Agentic Innovations for Business Data

Oracle today announced new agentic AI innovations for Oracle AI Database that will help customers rapidly build, deploy, and scale secure agentic AI applications that are suitable for full-scale ...
eWeek

8 Claude Prompts Professionals Use to Eliminate Repetitive Tasks

Use these eight Claude prompts to cut repetitive work, organize tasks faster, and turn messy inputs into clearer, more useful ...
Analytics Insight

Pandas vs Polars vs DuckDB: What Data Scientists Should Use in 2026

Overview Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows.Performance differences matter most, with Polars and DuckD ...
IEEE

Mid-Term Load Forecasting with Minimal Data: An In-Context-Learning-Aware Approach Using Large Language Models

Abstract: Accurate mid-term load forecasting at the building level is vital for the strategic planning, operation, and sustainability of modern power systems. Machine learning approaches often require ...

Kubit Integrates with Snowflake to Deliver Warehouse-Native Product Analytics in the Snowflake AI Data Cloud

Kubit, the digital analytics company, today announced an integration with Snowflake, the AI Data Cloud company, to deliver ...

Enterprise AI agents keep operating from different versions of reality — Microsoft says Fabric IQ is the fix

Microsoft has made Fabric IQ's business ontology accessible via MCP to any AI agent from any vendor, targeting the core ...

Strength training is hot right now. Here’s how to do it properly.

Five experts weigh in on exercise form, how much and how often to lift, whom to ask for help and how to do a pull-up ...
IEEE

Optimizing Deep Residual Networks for Short-Term Load Forecasting With Multidimensional Weather Data and Principal Component Analysis

Abstract: Short-term load forecasting (STLF) is essential for power system operations, supporting efficient grid management and resource planning. Deep Residual Networks (DRNs) have emerged as a ...