The Tax-Free Savings Account (TFSA) might just be the most underutilized financial tool in Canada. While many still treat it like a glorified savings account, savvy investors know the TFSA can be a ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...

Economist Tyler Cowen is warning that colleges aren't preparing students for an AI world. Last month, Cowen warned students may feel they "don't fit" in an AI-shaped job market. He told BI that a ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Steal a Brainrot Fuse Machine lets players combine up to four Brainrots for new, rare ones. There are two new secret Brainrots and several fusion combos with unique odds. Players can speed up fusions ...

Google has added a 'Guided Learning' mode in Gemini to promote deeper understanding of complex topics and concepts. It's available for free to all Gemini users. You can upload your course materials, ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

Have you ever wished for a tool that could turn the chaos of scattered research notes, dense academic papers, and complex concepts into something clear, concise, and actionable? Enter NotebookLM, ...

Leah Belsky, OpenAI's vice president of education, says students should be learning how to use AI. Belsky says that coding with AI is essential to students' capacity to survive post-college. OpenAI ...

Artificial Intelligence (AI) is usually built with silicon chips and code. But scientists are now exploring something very different. In 2025, they are growing brain organoids, which are small, living ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...