The OFIQ software library is intended to support large-scale biometrics programs with information about the usefulness of ...

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

Abstract: Passive Acoustic Monitoring (PAM) offers invaluable ecological insights, but classifying animal vocalizations via deep learning is severely hampered by pervasive noise, overlapping sounds, ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

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

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Abstract: Vehicle-road collaboration is an effective means of improving perception capacities and enhancing safety of intelligent connected vehicles (ICVs). A larger volume of perception data ...

Background: Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...