Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

Public cloud spending is on a steep curve, rising from $595.7 billion in 2024 to $723.4 billion in 2025, and the fastest growing line items are often the ones n ...

Consulting engineers have always had to deliver services far beyond design, but today’s data-driven projects are giving firms such as WSP/Power Engineers and Jacobs fresh opportunities to turn client ...

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

Construction faces a critical workforce shortage, but technology, AI and education partnerships can close the skills gap, boost productivity and create long-term competitive advantage.

India’s growth story in 2026 is being driven by a new generation of visionary founders, innovators, and leaders who are transforming industries and creating global impact.

Nabeel Sheikh earned a 2026 Global Recognition Award for engineering GPU preemptible instance capabilities at a leading cloud platform that delivers substantial cost reductions for enterprise ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Canada’s tech scene is really taking off. It feels like every day there’s news about new companies, new jobs, and new ways technology is changing things. Big cities are becoming huge tech centers, ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...