Carbon Robotics' Large Plant Model will allow farmers to kill new types of weeds without having to retrain the machines.

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

Abstract: The Particle Swarm Optimization (PSO) algorithm is a global optimization method based on swarm intelligence and is widely applied to various optimization problems. However, basic PSO ...

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Abstract: The Mach-Zehnder and Sagnac hybrid fiber optic interferometer (MZSI) is widely applied in numerous fields and capable of retrieving phase signals with the application of the appropriate ...

From 2023 to 2025, the proportion of synthetic data increased from 20%-30% to 50%-60%, becoming a core resource to fill long-tail scenarios. -- Full-process automated toolchain from collection to ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Secondary extremity lymphedema (SEL) is a chronic and progressive disorder resulting from impaired lymphatic drainage, most commonly following oncologic interventions such as breast or gynecological ...

Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...