Anantapur: Dr Natashekar, who is serving as the Dean of the local PVKK Engineering College, has been awarded the Doctor of ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

A new architecture replaces traditional bottlenecks with a passive, single-shot light-speed operation that could become the foundational hardware for AGI, scientists argue. When you purchase through ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

Burmese pythons, an invasive species in the Everglades, are being hunted and their skins used for luxury goods. Hunters like Zach Hoffman and Amy Siewe detail the process of skinning and preparing ...

In this Daytona SDK tutorial, we provide a hands-on walkthrough for leveraging Daytona’s secure sandbox environment to execute untrusted or AI-generated Python code safely within Notebook. Beginning ...

The Vector API gives Java developers everything they need to tap into CPU-level performance gains for numerically intensive operations. If there is one thing you can describe as an obsession for both ...

Modern data workflows are increasingly burdened by growing dataset sizes and the complexity of distributed processing. Many organizations find that traditional systems struggle with long processing ...