Provable In-Context Learning with In-Context Algorithm Selection Neural sequence models based on the transformer architecture ...

The goal of digital compression algorithms is to produce a digital representation of an audio signal which, when decoded and reproduced, sounds the same as the original signal, while using a minimum ...

For better accountability, we should shift the focus from the design of these systems to their impact. Describing a decision-making system as an “algorithm” is often a way to deflect accountability ...

Artificial intelligence and machine learning play an increasingly crucial role in helping companies across industries achieve their business goals. Research firm Frost & Sullivan's "Global State of AI ...

What are machine learning algorithms? A machine learning algorithm is the method by which the AI system conducts its task, generally predicting output values from given input data. The two main ...

A new technical paper titled “Scanning electron microscopy-based automatic defect inspection for semiconductor manufacturing: a systematic review” was published by researchers at KU Leuven and imec.

Google recently published a research paper on a new algorithm called SMITH that it claims outperforms BERT for understanding long queries and long documents. In particular, what makes this new model ...