To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

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 ...

As part of Valve's big hardware announcements today, the company did not disclose a price for the new Steam Machine device. Hardware engineer Yazan Aldehayyat was asked in an interview about what ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

For medium- and high-voltage applications, Kollmorgen’s latest DDL motor offers a new capability to support 400/480V AC-powered applications. It delivers a continuous force range up to 8,211 N and ...

1 Department of Urology, Qidong People’s Hospital, Qidong Liver Cancer Institute, Affiliated Qidong Hospital of Nantong University, Qidong, Jiangsu, China 2 Central Laboratory, Qidong People’s ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Objective: Current medical examinations and biomarkers struggle to assess the efficacy of chemoimmunotherapy (nICT) for locally advanced esophageal squamous cell carcinoma (ESCC). This study aimed to ...