Apple's big smart home push has finally arrived, and the cornerstone of that initiative is the HomeView display. The device is a combination smart screen and speaker, providing personalized info from your iPhone or iPad for a better in-home experience. Of course, the device works with various smart home gadgets, including cameras, a door lock and a thermostat from LG (and also a thermostat from Schneider Electric). After the official announcement this morning, I got to spend some time with the HomeView, swiping through menus and watching someone chat with Siri AI. While the HomeView may look like an enlarged Apple Watch, the smart display is very much an in-home hub.

It seems like an eternity since the first reports that Apple was working on a smart display to rival Amazon's Echo Show came out, and at long last the company has finally revealed its take on the smart home screen. HomeView is a touchscreen device that acts as a hub for various connected devices, as well as a personalized control center for audio and more. The device was built for Siri AI and can adapt its content and features based on which of your family members are using it by pulling data from their iPhone or iPad. The centerpiece of the HomeView is a 7-inch square Liquid Retina display. To me, it looks like an enlarged Apple Watch, and the tabletop version with a base comes in Silver, Starlight, Rose Pink and Space Gray colors.

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Follow this author 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. Chef Nelson German doesn't believe in the idea of the "self-taught" culinarian. "How can you really teach?" asks the Dominican American executive chef and restaurateur.

Instacart has launched Clementine, its own AI shopping assistant, which it says was designed to tackle the hardest parts of grocery shopping: deciding what to cook while staying within budget. Clementine, which is now available across North America on the Instacart Marketplace, understands natural language like other AI chatbots. You can tell it that you need "to make a high-protein easy dinner for two," and it will respond with a recipe that comes with a list of items you can add to your cart with a tap. The company says Clementine's responses will be based on what's currently available in your chosen store location, so you won't end up considering a recipe that you can't get ingredients for. If you already have some items in the ingredients list, you can remove them before adding the rest to your cart.

From the best air fryer to frying pans to knife sharpeners anyone can use, these ideas will keep the curious home chef in your life tinkering away. A Lightweight Cast-Iron Skillet Field Company No. 8 Cast Iron Skillet The Best gifts for cooks can be a tough prospect, especially because chances are the cook in your life is cooking for you. You want it to feel special, thoughtful, something luxuriant that they wouldn't buy for themselves and will be excited to have. This is a guide to the best kitchen gifts that mix classic beauty and technological innovation, geared to home chefs who love not just food but the act of cooking. We've gathered up some of our favorite gift ideas for every budget. For more inspiration, be sure to check out our guides to the best air fryers, the best cast iron pans, the best blenders, chef knives, and pizza ovens . One could plausibly argue for a 5-quart Le Creuset. But otherwise, when you picture a classic and beautiful cast-iron Dutch oven, what you picture is likely this: the 4-quart Staub La Cocotte. It argues for itself, sitting majestically baroque in its heft and with its trademark self-basting cones on the underside of its lid, its classic shape, and its elegant sense of proportion. It is welcome in any home.

Foundation models demand advanced data processing for their vast, multimodal datasets.

This work presents an extension to Pareto Front Guided Sampling (PFGS), a Human-in-the-Loop (HitL) Bayesian Optimization (BO) framework in which Gaussian process (GP) surrogate-derived quantities are reformulated as objectives of a multi-objective optimization problem, and the resulting Pareto front is exposed to a domain expert for interactive candidate selection rather than returning a single automated recommendation. The framework is extended in two directions: constrained optimization is addressed by incorporating the posterior probability of satisfying output specification limits as an explicit Pareto objective, computed analytically from the GP posterior distribution; robust optimization is addressed by a Monte Carlo sampling strategy that estimates expected lower-confidence performance over a user-defined variability of input perturbations, capturing performance degradation under likely implementation deviations. The resulting multi-dimensional Pareto representation renders trade-offs between predicted performance, model uncertainty, probabilistic constraint satisfaction, and input robustness simultaneously visible through pairwise two-dimensional projections on an interactive dashboard, enabling selection criteria to be iteratively refined as the surrogate model improves and development objectives evolve. The framework is showcased on an eight-dimensional fed-batch Chinese Hamster Ovary (CHO) cell culture simulator demonstrating systematic identification of high-performing, feasibility-compliant, and perturbation-resilient operating conditions, and illustrating how expert-defined requirements provide a principled stopping criterion and support informed allocation of experimental resources.

AI agents today are mostly siloed -- they either retrieve and reason over vast amount of digital information and knowledge obtained online; or interact with the physical world through embodied perception, planning and action -- but rarely both. This separation limits their ability to solve tasks that require integrated physical and digital intelligence, such as cooking from online recipes, navigating with dynamic map data, or interpreting real-world landmarks using web knowledge. We introduce EMBODIEDWEBAGENTS, a novel paradigm for AI agents that fluidly bridge embodiment and web-scale reasoning.

A cup a day kept the doctor away--at least according to these 19th century remedies. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Australian boxing manager and trainer Tom Maguire gives Australian boxer Dave Sands a cup of beef tea in his bedroom at their London hotel in April 1949. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .