The walls of what is thought to be one of medieval England's earliest and largest leprosy hospitals have been uncovered in Lincoln by Time Team archaeologists. A three-day dig started on Friday on the South Common at the site of the Hospital of the Holy Innocents, which housed up to 20 people with leprosy around the late 11th to early 12th Centuries. Time Team's Prof Carenza Lewis said they had found traces of square features where it is thought people were housed, which haven't been excavated before, anywhere. The dig marks the beginning of a three-year project backed by the National Lottery Heritage Fund. The remains of the building were found last year during a Local Landscapes and Hidden Histories project.

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW?

Things to Do in L.A. Tap to enable a layout that focuses on the article. Weird, wet heat is finally set to taper off: Here's where and when Geydi Diego, left, and mom Eulalia Tomas, both of Los Angeles, try to stay cool Saturday at the Festival Chapín de Los Angeles, a celebration of Guatemalan art and culture, in Lafayette Park. This is read by an automated voice. Please report any issues or inconsistencies here . See more from the L.A. Times in Google Search.

Machine learning models based on temporal point processes arethe state ofthe artinawide variety ofapplications involving discrete events incontinuous time.

Washington Post CEO and publisher Will Lewis has stepped down amid growing backlash over his handling of the paper's mass layoffs as chief financial officer Jeff D’Onofrio is been tapped to take over.

Washington Post CEO and publisher Will Lewis has stepped down amid growing backlash over his handling of the paper's mass layoffs as chief financial officer Jeff D’Onofrio is been tapped to take over.

It is an online romance that has overcome a 3,500-mile distance, and also the Covid pandemic - which meant they had to get married virtually. Welsh cheesemaker Lewis Relfe struck up a relationship with Ameila Henderson, from Virginia, USA, while playing the Friday the 13th horror video game in 2017. She made a number of visits across the Atlantic, including one for six months, and he proposed on Aberystwyth Pier, dressed as the game's main character, Jason Voorhees. While they admit to seeing the humour in being the couple that met and married virtually, they now live together in Ceredigion, with daughter Evelyn. But because of parental responsibilities, they no longer get to enjoy the thing that brought them together.

If you find it hard to focus after a wakeful night, it's because your brain is busy trying to catch up on crucial housekeeping. Nearly everyone has experienced it--after a night of poor sleep, your brain might seem foggy, and your mind drifts off when you should be paying attention. A new MIT study reveals what happens biologically as these momentary lapses occur: Your brain is performing essential maintenance that it usually takes care of while you sleep. During a normal night of sleep, the cerebrospinal fluid (CSF) that cushions the brain helps flush away metabolic waste that has built up during the day. In a 2019 study, MIT electrical engineering and computer science professor Laura Lewis, PhD '14, and colleagues showed that the CSF flows rhythmically in and out in a way that's linked to changes in brain waves. To explore what might happen to this CSF flow in a sleep-deprived brain, Lewis, who is also a member of MIT's Institute for Medical Engineering and Science, and her colleagues tested 26 volunteers on several cognitive tasks after they'd been kept awake in the lab and when they were well-rested.

Large pre-trained language models have been shown to store factual knowledge in their parameters, and achieve state-of-the-art results when fine-tuned on downstream NLP tasks. However, their ability to access and precisely manipulate knowledge is still limited, and hence on knowledge-intensive tasks, their performance lags behind task-specific architectures. Additionally, providing provenance for their decisions and updating their world knowledge remain open research problems. Pre-trained models with a differentiable access mechanism to explicit non-parametric memory can overcome this issue, but have so far been only investigated for extractive downstream tasks. We explore a general-purpose fine-tuning recipe for retrieval-augmented generation (RAG) -- models which combine pre-trained parametric and non-parametric memory for language generation. We introduce RAG models where the parametric memory is a pre-trained seq2seq model and the non-parametric memory is a dense vector index of Wikipedia, accessed with a pre-trained neural retriever. We compare two RAG formulations, one which conditions on the same retrieved passages across the whole generated sequence, the other can use different passages per token. We fine-tune and evaluate our models on a wide range of knowledge-intensive NLP tasks and set the state-of-the-art on three open domain QA tasks, outperforming parametric seq2seq models and task-specific retrieve-and-extract architectures. For language generation tasks, we find that RAG models generate more specific, diverse and factual language than a state-of-the-art parametric-only seq2seq baseline.

Cybercriminals using malware and AI tools have stolen over $318 million in cargo shipments nationwide, targeting freight during transit with sophisticated online fraud schemes.