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Dan Kennedy is the co-leader of the What Works: The Future of Local News project at Northeastern University. He is a member of the editorial advisory board of CommonWealth Beacon, a digital news ...

Abstract: As one of the most representative applications built on deep learning, audio systems, including keyword spotting, automatic speech recognition, and speaker identification, have recently been ...

Deep Reinforcement Learning (DRL) algorithms combine artificial neural networks with reward-based learning processes, and are a useful analog of reward-based information processing and dopamine-driven ...

Deepfakes are forgeries of people’s faces, voices and likeness generated through artificial intelligence (AI). They create a serious digital deception. Deepfakes undermine constitutional rights, ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

WTF?! A new development in academic publishing has been uncovered in a recent investigation: researchers are embedding hidden instructions in preprint manuscripts to influence artificial intelligence ...

Chances are that you have unknowingly encountered compelling online content that was created, either wholly or in part, by some version of a Large Language Model (LLM). As these AI resources, like ...

An abstract sentence is a sentence that expresses an idea, concept, or quality rather than something you can see, touch, or measure directly. It deals with things like emotions, values, theories, or ...

The objective here is to classify research paper abstracts (text-classification) in to two classes (binary classification) cancer vs non-cancer. Also, extract specific cases of cancer from these paper ...