New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...

Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...

Stop writing deeply nested function calls and messy for loops for multi-step data processing. Lucid Pipeline gives Python a clean, expressive way to pass data through a series of steps — readable, ...

"Backtesting took a whole day," or "I have to manually re-enter parameters every time I change currency pairs"—have you ever had experiences like these? As an engineer, I use data to verify standard ...

Stroke is increasingly understood as a network disorder with symptoms often arising from disruption of white matter connectivity. Previous connectome-based lesion-symptom mapping studies revealed that ...

Predicting treated language improvement (TLI) and transfer to the untreated language (cross-language generalization, CLG) after speech-language therapy in bilingual individuals with poststroke aphasia ...

The Large Language Models (LLMs), such as GPT and BERT, were proposed for natural language processing (NLP) and have shown promising results as general-purpose language models. An increasing number of ...

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...