The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool researchers have started using. I am a machine learning researcher. With a team of ...

In the digital age, government agencies are grappling with unprecedented volumes of data, presenting challenges in effectively managing, accessing and declassifying information. The State Department ...

Right now, every industry faces discussions about how artificial intelligence might help or hinder work. In movies, creators are concerned that their work might be stolen to train AI replacements, ...

“Until the panel decision, this Court had never suggested that Alice step one requires a patent to claim both (1) a new application of an established process and (2) an improvement to the technology ...

Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.

Machine-learning technologies are being used in film restoration for new home video releases. But some viewers strongly dislike the results. By Calum Marsh In 1998, Geoff Burdick, an executive at ...

Choosing the right cross-validation technique is crucial for building reliable machine learning models. In this video, we explore popular methods like k-fold, stratified k-fold, leave-one-out, and ...

Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of ...

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