Fighter jets from the UK will join Nato allies in defending Polish airspace after last week's incursion of Russian drones, the defence secretary has confirmed. RAF Typhoon jets will fly air defence missions over Poland as part of the military alliance's mission to bolster the eastern flank. Other allies including Denmark, Germany and France are already taking part - a jet from the latter was scrambled earlier on Monday in response to another potential incursion by Russian drones. Nato said that alert was quickly over. Tensions have risen across Europe since Poland accused Russia of the incident, which saw 19 drones enter its territory.

Belarus and Russia's show of firepower appears to be a message to Europe In a large field 45 miles (72km) from Belarus' capital Minsk, a battle is raging. There are giant explosions as Sukhoi-34 bombers drop guided bombs. Helicopter gunships join the attack, while surveillance drones sweep overhead to view the damage. Together with other international media we've been brought to the Borisovsky training ground where Belarusian and Russian forces are taking part in joint manoeuvres. Military attachés, too, from a variety of embassies are observing the drill from a viewing platform.

Elon Musk gestures as he attends the Viva Technology conference in Paris, France, on 16 June 2023. Elon Musk gestures as he attends the Viva Technology conference in Paris, France, on 16 June 2023. Tesla shares rose by more than 8% after news of CEO's transactions, a week after he was offered $1tn pay package Elon Musk, the Tesla CEO, has purchased nearly $1bn worth of the electric-vehicle maker's stock, a regulatory filing showed, reinforcing Musk's push for greater control over Tesla. Tesla shares jumped more than 8% in premarket trading on Monday following the news. Tesla is racing to meet its ambitious targets on robotaxis, artificial intelligence and robotics as it looks to pivot from an EV maker to a tech leader.

Google declined to comment on its planning application for the Thurrock site. Google declined to comment on its planning application for the Thurrock site. Planning documents show impact of Thurrock'hyperscale' unit as UK attempts to ramp up AI capacity A new Google datacentre in Essex is expected to emit more than half a million tonnes of carbon dioxide a year, equivalent to about 500 short-haul flights a week, planning documents show. Spread across 52 hectares (128 acres), the Thurrock "hyperscale datacentre" will be part of a wave of mammoth computer and AI power houses if it secures planning consent. The plans were submitted by a subsidiary of Google's parent company, Alphabet, and the carbon impact emerged before a concerted push by Donald Trump's White House and Downing Street to ramp up AI capacity in Britain. Multibillion-dollar investment deals with some of Silicon Valley's biggest technology companies are expected to be announced during the US president's state visit to the UK, which starts on Tuesday.

The 77th Primetime Emmy Awards have taken place in Los Angeles on Sunday night, with shows The Studio, The Pit and Adolescence dominating the awards. Owen Cooper became the youngest ever male Emmy winner at 15-years-old, for his breakout role in the Netflix miniseries Adolescence. Seth Rogan's comedy series The Studio scooped up four Emmys, while The Pitt beat out the likes of Severance and The White Lotus to win Best Drama. 'No doubt' Russia will cross Nato border if Ukraine falls, former US VP says Former US Vice-President Mike Pence calls for security guarantees in Ukraine to help deliver "just and lasting peace". The US House Oversight Committee has released new surveillance footage recorded hours before the convicted paedophile's death.

The Pixel 10 Pro offers the best of Google's hardware without an enormous screen, making it a contender for the top smaller phone. The Pixel 10 Pro offers the best of Google's hardware without an enormous screen, making it a contender for the top smaller phone. Mon 15 Sep 2025 02.00 EDTLast modified on Mon 15 Sep 2025 02.03 EDT The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. The Pixel 10 Pro is Google's best phone that is still a pocketable, easy-to-handle size, taking the excellent Pixel 10 and beefing it up in the camera department.

Abstract--Introduction: This study presents FetalSleepNet, the first published deep learning approach to classifying sleep states from the ovine electroencephalogram (EEG). Fetal EEG is complex to acquire and difficult and laborious to interpret consistently. However, accurate sleep stage classification may aid in the early detection of abnormal brain maturation associated with pregnancy complications (e.g. Methods: EEG electrodes were secured onto the ovine dura over the parietal cortices of 24 late-gestation fetal sheep. A lightweight deep neural network originally developed for adult EEG sleep staging was trained on the ovine EEG using transfer learning from adult EEG. A spectral equalisation-based domain adaptation strategy was used to reduce cross-domain mismatch. Results: We demonstrated that while direct transfer performed poorly, full fine-tuning combined with spectral equalisation achieved the best overall performance (accuracy: 86.6%, macro F1-score: 62.5), outperforming baseline models. Conclusions: T o the best of our knowledge, FetalSleepNet is the first deep learning framework specifically developed for automated sleep staging from the fetal EEG. Beyond the laboratory, the EEG-based sleep stage classifier functions as a label engine, enabling large-scale weak/semi-supervised labeling and distillation to facilitate training on less invasive signals that can be acquired in the clinic, such as Doppler Ultrasound or electrocardiogram data. FetalSleepNet's lightweight design makes it well suited for deployment in low-power, real-time, and wearable fetal monitoring systems. LEEP state patterns reflect fetal neurophysiological function and development [1], and are clinically relevant for detecting abnormal neurodevelopment, which may result from conditions such as chronic hypoxia, infection or hypertensive disorders of pregnancy (HDP) [2]-[4]. J. V argas-Calixto, N. Katebi, and G. D. Clifford are with the Department of Biomedical Informatics, Emory University, Atlanta, USA. Nhi Tran, R. Galinsky and S. B. Kelly are with the Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia. G. D. Clifford is also with the Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, USA.

In this study, we employ ChatGPT -4o to generate academically sound, high-quality research proposals. T o evaluate the writing capabilities and potential of LLMs, we adopt both standard GPT -only and GPT -assisted writing approaches. T o effectively assess the writing capabilities of LLMs, we introduce two key evaluation metrics: content quality and reference validity . Additionally, we implement an iterative prompting method aimed at enhancing content quality and reducing inaccuracies and fabrications in references generated by LLMs. Our results show that the dual-metrics evaluation rigorously quantifies ChatGPT's writing capabilities, while iterative prompting enhances content quality, reduces errors, and addresses ethical concerns in reference generation. This proposal writing, evaluation, and improvement framework offers users a practical way to generate high-quality research proposals tailored to their needs. Future research can build upon this work by developing more efficient writing strategies and advanced methods to further enhance the writing capabilities of LLMs.

The large language model (LLM) powered recommendation paradigm has been proposed to address the limitations of traditional recommender systems, which often struggle to handle cold start users or items with new IDs. Despite its effectiveness, this study uncovers that LLM empowered recommender systems are vulnerable to reconstruction attacks that can expose both system and user privacy. To examine this threat, we present the first systematic study on inversion attacks targeting LLM empowered recommender systems, where adversaries attempt to reconstruct original prompts that contain personal preferences, interaction histories, and demographic attributes by exploiting the output logits of recommendation models. We reproduce the vec2text framework and optimize it using our proposed method called Similarity Guided Refinement, enabling more accurate reconstruction of textual prompts from model generated logits. Extensive experiments across two domains (movies and books) and two representative LLM based recommendation models demonstrate that our method achieves high fidelity reconstructions. Specifically, we can recover nearly 65 percent of the user interacted items and correctly infer age and gender in 87 percent of the cases. The experiments also reveal that privacy leakage is largely insensitive to the victim model's performance but highly dependent on domain consistency and prompt complexity. These findings expose critical privacy vulnerabilities in LLM empowered recommender systems.

HGTV's Erin Napier erupts at fans after being slammed for refusing to'celebrate' Charlie Kirk's death Truth about America's murder hotspots... as map reveals surprising cities Trump may send National Guard City of vanishing children: Dark truth behind the THOUSANDS of missing kids in Rust Belt town... and the underworld they are plunged into Monkees musician Bobby Hart who wrote the band's theme and Last Train To Clarksville dies at 86 I didn't air any dirty laundry in public - my conscience is clear, says Prince Harry during visit to Ukraine: Duke reveals he wants to spend more time in the UK in the next year as'the focus really has to be on my dad' FBI tried to hide trans identity of Charlie Kirk suspect's lover after his chilling four-word response to investigators I've been lying to my husband about the thing he loves most. If I come clean, he'll be humiliated: DEAR JANE My HOA from hell fined me $1,000 per day for the pettiest issue imaginable inside my $600k home... then I realized they were spying on me Teen arrested'destroying' Charlie Kirk memorial as chilling copycat fantasy exposed Hollywood insiders lay bare'intimidation' tactics by woke celebrities branded worse than the Ku Klux Klan: 'Everyone is living in fear' NFL fans left in disbelief as Russell Wilson launches'mind blowing' touchdown pass for New York Giants Islanders claim they know the sinister truth about Amelia Earhart... and demand the proof is finally released Urgent warning as toxic fumes on major airlines' flights cause devastating brain injuries I dropped from a size 20 to a size 12 in five months - these'healthy' foods were making me overweight Who are the shortest actresses in Hollywood? Emotional Tucker Carlson reveals'close call' on his life as he breaks silence on Charlie Kirk: 'We're in a civil war' People are just realizing that they're pronouncing the name of America's biggest holiday wrong The three-word phrase to get people to listen'instantly,' according to a public speaking expert Capturing people's attention during a presentation, or in any crowded room, is often half the battle, and one many fail to win. Now, a public speaking expert has shared a three-word phrase he claimed will get people listening to you'instantly.' John Bowe, a speech trainer, said that starting with'Imagine this scenario...' will have the room perk up and pay attention. 'It works every time,' Bowe wrote for CNBC, breaking down how each word is highly engaging.