Recent work has demonstrated that language models can be trained to identify the author of much shorter literary passages than has been thought feasible for traditional stylometry. We replicate these results for authorship and extend them to a new dataset measuring novel genre. We find that LLMs are able to distinguish authorship and genre, but they do so in different ways. Some models seem to rely more on memorization, while others benefit more from training to learn author/genre characteristics. We then use three methods to probe one high-performing LLM for features that define style. These include direct syntactic ablations to input text as well as two methods that look at model internals. We find that authorial style is easier to define than genre-level style and is more impacted by minor syntactic decisions and contextual word usage. However, some traits like pronoun usage and word order prove significant for defining both kinds of literary style.

Offering the potential of enhanced resolution with accelerated scan times for magnetic resonance imaging (MRI), SmartSpeed (Philips), an emerging artificial intelligence (AI)-enabled software, has garnered FDA 510(k) clearance. In comparison to other MRI modalities, Philips said the addition of SmartSpeed to the company's Compressed SENSE MR acceleration engine offers a threefold reduction in MRI scanning time and increases image resolution up to 65 percent. "Philips' AI-based SmartSpeed reconstruction is the new benchmark among acceleration techniques for us. It improves on the company's existing Compressed SENSE (MR acceleration engine) in all aspects and allows a reduction in scan times with excellent image quality and diagnostic confidence," noted Grischa Bratke, MD, who is affiliated with the Department of Radiology at the University Hospital of Cologne in Germany. Philips noted that application of the AI reconstruction algorithm with SmartSpeed at the front end of the MR signal facilitates a high signal-to-noise ratio that enhances image quality and enables small lesion detection.

It's been a banner year for the smart home, with new players and new products flooding the market. It's never been easier or less expensive to convert an ordinary home into a technological wonderland. The biggest developments have come with the widespread adoption of voice control, with Amazon's Echo family way out in front in terms of new products and third-party support. But the Noon Lighting System, which shipped late in the year, is easily the most exciting smart home product we've seen to date. We reviewed a lot of great products this year--and we encountered a few dogs as well--but this list represents our picks for the best of the best.