Large language models fail at hard and medium difficulty problems where they can’t stitch together well-known templates. You ...

In today's data-driven world, data literacy is becoming a crucial skill across all industries. Employers are increasingly ...

The deadline is closing in, compiler errors keep flashing across your screen, and the fear of lost GPA points feels like a waking nightmare. In that moment, a s ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

Microsoft and partners are building an open toolkit to add natural language interfaces to web content, using the Model ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

The integration of digital twin technology into wind turbine maintenance represents a significant advancement in the renewable energy sector. By enabling real-time monitoring and predictive analytics, ...

Quantum infrastructure software is redefining quantum computing by automating calibration, optimizing workloads, and letting ...

A minor proprietor will observe customers who hyped about their product. They are interested in transforming this excitement into expansion. Exit, such as referral programs, e.g., the idea to give […] ...

The Artificial Intelligence Engineering extension programme offers master’s students the opportunity to learn the basics of ...