Family secrets of Trump's closest White House aide: Natalie Harp's estranged socialist brother reveals ugly details of feud... and the tragedy that shattered everything Clay Aiken opens up about the'catastrophic' aftermath of grabbing Kelly Ripa's face live on air Iran's suicide drone strike on US ally threatens Trump's fragile peace in Strait of Hormuz Live, laugh, love mom charged with incestuous abuse of her two teenage adopted sons demands DIVORCE from handsome husband... as shocking custody request revealed Harry and Meghan may smugly believe the Establishment'plot' to return them is working. But they have no idea what Kate and William are thinking. My royal insiders have not held back... it's damning: RICHARD EDEN America's hottest housing market is a surprising East Coast city where 58% of homes sell above asking price Eva Longoria, 51, drops jaws in white string bikini as she displays gym-honed body during family beach day in Spain... after fleeing US Beloved Fox & Friends star says she's quitting after 22 years because of serious health condition Truth about Taylor Swift's'hookups' with ex Matty Healy... revealed by friends as his new model fiancée is accused of kinky pre-wedding stunts to humiliate Swift I lost a stone in 28 days WITHOUT weight-loss jabs: At size 32, I couldn't bear being fat anymore. This old-fashioned diet got me holiday-ready in weeks... YOU can do it too with these 6 steps Eerie'apocalyptic' sounds heard on Mount Shasta lead horseback riders to bizarre discovery Angelina Jolie war with Brad Pitt over sale of lavish French wine estate turns in Brad's favor as secretive vodka billionaire buyer forced to testify Lavish photos show Mark Zuckerberg's secretive new $170m hideout: First look behind the guarded gates of billionaire's palatial bunker Lionel Richie, 77, 'taken to hospital by ambulance' after dizzy spell onstage saw him end concert An anniversary present from Harry? Duchess of Sussex debuts new ring - and royal fans say it looks very similar to Kate's engagement band Grotesque'zombie squirrels' with oozing flesh pods spark alarm across the US BRYONY GORDON: Have you been tempted by the'Ozempic of alcohol' pill? I certainly was, but I've since faced a humbling truth.

'Thank God they're still alive': Kaiser therapists claim its new screening system puts patients at higher risk by delaying their care Kaiser pushed back on striking workers' claims and AI fears, saying it delivers'timely, high-quality care to meet members' needs' I lana Marcucci-Morris is worried about the patients she treats and how long it took for them to arrive in her office. At Kaiser Permanente's psychiatry outpatient clinic in Oakland, California, she says she increasingly finds herself assessing people experiencing severe mental health issues whom she believes should have been sent to the emergency room weeks earlier. For those who do make it to their appointments, she thinks: "Thank God they're still alive." It wasn't always this way, according to Marcucci-Morris, a licensed clinical social worker. Licensed professionals used to almost always be the first point of contact for patients with behavioral health issues at Kaiser, she said. She has noticed a change since January 2024, after the healthcare giant introduced a new screening process for first-time patients.

Highly valued for their fur, martens were almost hunted to extinction in the late 20th century. Breakthroughs, discoveries, and DIY tips sent six days a week. It's understandable if you've never heard of the coastal marten. These secretive--but adorable--woodland carnivores nearly went extinct . Fortunately, these ferret-sized mammals are making a slow recovery in the forests of the Pacific Northwest.

Big hitter Peter F. Hamilton has a new sci-fi novel out this month - and Booker winner George Saunders ventures into speculative fiction with his latest book, Vigil Is it an asteroid or an alien in Van Jensen's Godfall? Welcome to January, a month when many of us are keen to escape from the world into the pages of a book. Thankfully, science fiction is here to help, whether that's with a story set on a generation ship where things aren't as they seem, courtesy of Peter F. Hamilton, or journeying to an alternate version of this world where the Roman Empire is still in charge, in Solitaire Townsend's . Add to the mix a time-loop murder, a UFO romance and some eco-horror, and there's plenty of choice for sci-fi fans this month. A generation ship is in search of a new home in Peter F. Hamilton's latest sci-fi novel Big hitter Peter F. Hamilton sets his latest outing on a generation ship in search of a new world, where people are only allowed to live for 65 years so they don't deplete the ship's resources. When a teenager Hazel's brother has an accident that means he is no longer productive, he is set to be killed off.

It was genuinely a bit surreal seeing deep green hills in the South Bay last week. Growing up in Fremont, I know the change from brown to green is about as close as we get to having seasons, but it's been so long since I've seen them, I'd genuinely forgotten they can exist. It's an understatement to say that the return of rain has been something of a mixed blessing in Northern California. I know several people who are still reeling from the recent floods, but this brave new world to which we all belong seems to only operate in extremes when it comes to the weather. Since returning home to Queens for a few days (I fly out for Mobile World Congress on Friday), several people have commented about how nice it must have been to get out of the cold in February. These are all people who, presumably, have never been to Northern California.

Amazon plans to begin delivering some packages by drone to homes in a few Northern California communities this year, the company said Monday. Residents of San Joaquin County farming towns Lockeford and Acampo, as well as parts of Lodi, will be able to order "thousands of everyday items" online and can expect a drone to drop them in their backyards in less than an hour, said Av Zammit, an Amazon spokesperson. The Amazon Prime Air drones can carry packages that weigh 5 pounds or less -- such as beauty and cosmetic items, office and tech supplies, batteries and household items -- and will typically be the size of a large shoebox, Zammit said. The company is building a facility in Lockeford from which the drones will launch. Though Amazon Prime Air received certification to commercially fly cargo in 2020, it is still seeking approval from the Federal Aviation Administration and county officials for its plans in San Joaquin County.

High profile trips by billionaires Richard Branson and Jeff Bezos have more people thinking about the future of space tourism. There's a long way to go before that's common, but one destination for would-be space explorers is Mars. And right now, NASA scientists are working on robots to help explore more of the planet first. Ali Agha, a principal investigator and research technologist at NASA's Jet Propulsion Laboratory, is testing a fleet of robots, including the Boston Dynamics one known as Spot, by sending them into caves in Northern California. The following is an edited transcript of our conversation.

Classical machine learning approaches are sensitive to non-stationarity. Transfer learning can address non-stationarity by sharing knowledge from one system to another, however, in areas like machine prognostics and defense, data is fundamentally limited. Therefore, transfer learning algorithms have little, if any, examples from which to learn. Herein, we suggest that these constraints on algorithmic learning can be addressed by systems engineering. We formally define transfer distance in general terms and demonstrate its use in empirically quantifying the transferability of models. We consider the use of transfer distance in the design of machine rebuild procedures to allow for transferable prognostic models. We also consider the use of transfer distance in predicting operational performance in computer vision. Practitioners can use the presented methodology to design and operate systems with consideration for the learning theoretic challenges faced by component learning systems.

Solar power installations are becoming common in residential and commercial areas, largely due to their decreasing costs. However, the power system is vulnerable to some anomalies such as rainstorm or hurricane, which cost greatly to restoration. As a result, detecting and predicting abnormal events from the spatialtemporal series plays a vital role in the solar system, aiming to capture the variety of intrinsic reasons for the anomalies. For example, the rainstorm and drought would bring out different types and patterns of anomalies. In many cases, the abnormal event will also start at one location and then propagate to its neighbors with a time delay, leading to spatial-temporal correlation among anomalies. Thus it is crucial to make observations at multiple locations, which correspondingly form the spatial-temporal series. In this paper, we address non-stationarity and strong spatial-temporal correlation through the following contributions: - Strong spatial-temporal correlation: We present a spatial-temporal Bernoulli process (also extended to categorical observations), which is proposed by [19]. The model can flexibly capture the spatial-temporal correlations and interactions without assuming time-decaying influence. It can also efficiently make predictions for any location at any future time for timely ramp event detection.

In 2018, a wildfire caused by a faulty electric transmission line owned by Pacific Gas & Electric (PG&E) tore through Northern California's Butte County, killing 85 people and destroying nearly 19,000 buildings. In the wake of the fire, PG&E, which serves 5.2 million households in Northern California, set out to develop an AI technology suite that leverages computer vision to help it identify high fire-risk areas. Dubbed Sherlock Suite, the solution has helped PG&E automate inspections of its field equipment. Get the insights by signing up for our newsletters. "The Sherlock Suite allows desktop inspectors to mark up potential equipment problems on high-resolution images, further training computer-vision models to automatically detect potential issues and adding metadata to enable searchability of these images across the enterprise," says Kunal Datta, product manager for the Sherlock Suite at PG&E.