Category: Uncategorized

The humble French press is affordable, effective, and hard to mess up. Here are our favorites to make your morning cup of coffee. Read more

Just because you use Chrome doesn’t mean you have to use Google. Learn how to invite Bing, DuckDuckGo, Brave, or even ChatGPT into your omnibox. Read more

Wherever astronomers look, they see life’s raw materials—and hints at answers to one of the great mysteries of science. Read more

A software update was supposed to free up the PS Portal from its reliance on the PS5 and add a world of streamable games to its appeal. In practice, it does nothing of the sort. Read more

With big cash prizes at stake—and AI supercharging research—interspecies translation is closer than ever. But what, if anything, would animals want to tell us? Read more

Agentic AI systems are fundamentally reshaping how tasks are automated, and goals are achieved in various domains. These systems are distinct from conventional AI tools in that they can adaptively pursue complex goals over extended periods with minimal human supervision. Their functionality extends to tasks requiring reasoning, such as managing logistics, developing software, or even… Read more

Computer vision models have made significant strides in solving individual tasks such as object detection, segmentation, and classification. Complex real-world applications such as autonomous vehicles, security and surveillance, and healthcare and medical Imaging require multiple vision tasks. However, each task has its own model architecture and requirements, making efficient management within a unified framework a… Read more

Modern data programming involves working with large-scale datasets, both structured and unstructured, to derive actionable insights. Traditional data processing tools often struggle with the demands of advanced analytics, particularly when tasks extend beyond simple queries to include semantic understanding, ranking, and clustering. While systems like Pandas or SQL-based tools handle relational data well, they face… Read more

AI alignment ensures that AI systems consistently act according to human values and intentions. This involves addressing the complex challenges of increasingly capable AI models, which may encounter scenarios where conflicting ethical principles arise. As the sophistication of these models grows, researchers are dedicating efforts to developing systems that reliably prioritize safety and ethical considerations… Read more

Molecule discovery is important in various scientific research fields, particularly pharmaceuticals and materials science. While the emergence of Graph Neural Networks (GNNs) has revolutionized this field by enabling the representation of molecules as graphs and facilitating property predictions, it faces difficulties in generalizing across different tasks, requiring substantial task-specific data collection. These approaches show limitations… Read more