A large Russian aerial strike on Ukraine has again left half of Kyiv's residential buildings without heating or power as temperatures across the country continue to hover around -10C. Drones, ballistic and cruise missiles targeted several locations in Ukraine, including Kyiv, Dnipro in the centre and Odesa in the south. Air raid alerts in the capital lasted for most of the night. On Tuesday, sirens rang out again as Russian drones and cruise missiles approached the capital. President Volodymyr Zelensky said a significant number of targets had been intercepted.

Ilhan Omar is under investigation for her skyrocketing wealth... as she berates reporters for questioning her about'fraud' Trump puts $1 BILLION price tag on membership for his new'UN replacement'... and the president'will control ALL the money' Iconic '90s femme fatale Men In Black star hasn't been seen in 16 years... now the Daily Mail reveals distressing truth behind her disappearance Investigator reveals hidden clues in Ellen Greenberg's crime scene photos that PROVE bride-to-be was brutally murdered CBS News's star anchor caught on tape caving to Trump's demands as president issues blunt two-word warning over interview'edits' Jane Fonda, 88, is pushed in wheelchair at airport after Reiner murders left her'reeling' NFL fans fume Bills-Broncos was'rigged' as controversial late call sparks debate: 'Completely scripted' A-list pop star is unrecognizable in Saturday Night Live cameo... can YOU guess who she is? Read Melissa Gilbert's begging letter in defense of husband Timothy Busfield as she claims West Wing star is'honorable and compassionate' despite child sex allegations Nicole Kidman's subtle but devastating digs at Keith Urban revealed... as insiders claim country star has MOVED IN with new squeeze Secrets of one of America's oldest grocery stores that shuns self-checkouts and welcomes rich and famous customers The'marry me' sex move that'll make even the most commitment-phobic of men beg to see you again... and it worked for THREE of my friends Secret ranking of NFL WAGs revealed: From a'jealous' ex-cheerleader to the'annoying queen'... meet the stunning sideline spouses raking in MILLIONS Infectious disease expert reveals viruses to worry about as'super flu' overwhelms US... including one that could put the world'on cusp of a pandemic' Mysterious new owner of Wyoming ranch bigger than Rhode Island is unmasked amid speculation Ukraine's Zelensky was circling Sales of Toyota's EV stall as furious drivers say'impossible to fuel' cars have landed them in debt nightmare Criminal investigation launched into Renee Good's wife for'impeding' ICE agents before shooting My beautiful, brilliant wife took her final breath 10 years ago. I didn't think I would survive... then I witnessed something miraculous that as a scientist I just can't explain Dark side of America's favorite vacation hotspot... where women are subjected to the most horrific sex attacks imaginable No matter how harmonious your workplace might be, what temperature to set the thermostat seems to be the one thing that no one can ever agree on. Luckily, scientists have now revealed the ideal temperature to keep everyone happy - and it might be a little warmer than some people expect. According to research conducted by home heating experts BOXT, Britons feel happiest, calmest, and most productive at a balmy 21 C (70 F).

Porsche's much-anticipated 2026 EV has charging tech akin to a giant Qi puck. But what happens when Mittens or Fido gets in the way of 11 kilowatts invisibly flying through the air? Yes, it's still a prototype, but Porsche is finally letting people experience what it's next electric car will be like when it hits production next year. We got a briefing on the underpinnings of the new architecture for the Cayenne Electric, peeked at the very fancy finalized interior, and experienced a few hot laps being driven by one of Porsche's professional drivers. However, the highlight was, oddly, none the above, it was getting to try out the Cayenne Electric's party trick and experience exactly how Porsche's wireless charging system works for the EV, and how ridiculously similar the process is to plonking your phone down on a Qi charging puck .

Accurate and efficient temperature prediction is critical for optimizing the preheating process of PET preforms in industrial microwave systems prior to blow molding. We propose a novel deep learning framework for generalized temperature prediction. Unlike traditional models that require extensive retraining for each material or design variation, our method introduces a data-efficient neural architecture that leverages transfer learning and model fusion to generalize across unseen scenarios. By pretraining specialized neural regressor on distinct conditions such as recycled PET heat capacities or varying preform geometries and integrating their representations into a unified global model, we create a system capable of learning shared thermal dynamics across heterogeneous inputs. The architecture incorporates skip connections to enhance stability and prediction accuracy. Our approach reduces the need for large simulation datasets while achieving superior performance compared to models trained from scratch. Experimental validation on two case studies material variability and geometric diversity demonstrates significant improvements in generalization, establishing a scalable ML-based solution for intelligent thermal control in manufacturing environments. Moreover, the approach highlights how data-efficient generalization strategies can extend to other industrial applications involving complex physical modeling with limited data.

Heat pumps can save you about $370 per year and are good for the planet. Heat pumps date back to the 1850s and are more energy efficient than furnaces or boilers. Breakthroughs, discoveries, and DIY tips sent every weekday. Colder weather is quickly approaching, which means it's time for many folks to start cranking up the heat in their homes and apartments. But for many Americans, heating up their homes is a costly affair-and it's only getting more expensive.

Machine learning (ML) is increasingly vital for smart-grid research, yet restricted access to realistic, diverse data - often due to privacy concerns - slows progress and fuels doubts within the energy sector about adopting ML-based strategies. We propose integrating Large Language Models (LLMs) in energy modeling to generate realistic, culturally sensitive, and behavior-specific data for household energy usage across diverse geographies. In this study, we employ and compare five different LLMs to systematically produce family structures, weather patterns, and daily consumption profiles for households in six distinct countries. A four-stage methodology synthesizes contextual daily data, including culturally nuanced activities, realistic weather ranges, HVAC operations, and distinct `energy signatures' that capture unique consumption footprints. Additionally, we explore an alternative strategy where external weather datasets can be directly integrated, bypassing intermediate weather modeling stages while ensuring physically consistent data inputs. The resulting dataset provides insights into how cultural, climatic, and behavioral factors converge to shape carbon emissions, offering a cost-effective avenue for scenario-based energy optimization. This approach underscores how prompt engineering, combined with knowledge distillation, can advance sustainable energy research and climate mitigation efforts. Source code is available at https://github.com/Singularity-AI-Lab/LLM-Energy-Knowledge-Distillation .

The world's addiction to fossil fuels is a "Frankenstein's monster sparing nothing and no one", the UN secretary general, António Guterres, told leaders at the World Economic Forum in Davos on Wednesday. "Our fossil fuel addiction is a Frankenstein's monster, sparing nothing and no one. All around us, we see clear signs that the monster has become master," Guterres said in a speech days after 2024 was revealed to have been the hottest year on record and Donald Trump began his second term as US president by pulling the country out of the Paris climate agreement and pledging to "drill, baby, drill" for more oil and gas. The fossil fuel industry gave 75m ( 60m) to Trump's campaign. Guterres said: "What we are seeing today – sea-level rise, heatwaves, floods, storms, droughts and wildfires – are just a preview of the horror movie to come."

We may earn revenue from the products available on this page and participate in affiliate programs. If you're tired of stockpiling blankets, extra socks, and heated slippers to keep you warm, it might be time to consider getting a space heater. These powerful appliances are a great way to get cozy without installing a complicated heating system or commandeering the thermostat. If your radiator just isn't cutting it or someone insists on keeping a window open to freshen the room up, a space heater could be the perfect solution. These hot machines are designed specifically to warm up spaces of all sizes and should be portable, effective, and fast-acting. Our best overall pick, the Lasko 5586 Electric 1500W Ceramic Space Heater Tower, ticks all these boxes.

When data on building features is unavailable, the task of determining how to improve that building in terms of carbon emissions becomes infeasible. We show that from only a set of images, a Large Language Model with appropriate prompt engineering and domain knowledge can successfully estimate a range of building features relevant for sustainability calculations. We compare our novel image-to-data method with a ground truth comprising real building data for 47 apartments and achieve accuracy better than a human performing the same task. We also demonstrate that the method can generate tailored recommendations to the owner on how best to improve their properties and discuss methods to scale the approach.

Soft robotics is a rapidly growing field that spans the fields of chemistry, materials science, and engineering. Due to the diverse background of the field, there have been contrasting naming schemes such as 'intelligent', 'smart' and 'adaptive' materials which add vagueness to the broad innovation among literature. Therefore, a clear, functional and descriptive naming scheme is proposed in which a previously vague name -- Soft Material for Soft Actuators -- can remain clear and concise -- Phase-Change Elastomers for Artificial Muscles. By synthesizing the working principle, material, and application into a naming scheme, the searchability of soft robotics can be enhanced and applied to other fields. The field of thermo-active soft actuators spans multiple domains and requires added clarity. Thermo-active actuators have potential for a variety of applications spanning virtual reality haptics to assistive devices. This review offers a comprehensive guide to selecting the type of thermo-active actuator when one has an application in mind. Additionally, it discusses future directions and improvements that are necessary for implementation.