'Guerilla' liberals form a'Fight Club' to oust Schumer after walking right into Trump's Oval Office trap Billionaire family posts VERY unusual obituary after heir, 40, met violent end at $2.8m hunting lodge following marriage scandal I know why Usha Vance ditched her wedding ring. Most women would do the same if they'd suffered her humiliation: KENNEDY'Canceled' comedian Louis C.K. devours Hollywood legend's widow on streets of NYC as steamy romance is revealed Troubled 350lbs son of Hollywood icon is forced to humiliating new low... as his movie star brother luxuriates in $7m Montecito mansion Brigitte Bardot, 91, is rushed to hospital again as she battles a'serious illness' after undergoing surgery'Dementia gene' now linked to another devastating neurological disease, study shows Trump's losing control... MAGA's imploding... and White House insiders tell me why they're REALLY worried: ANDREW NEIL Anna Kepner's grim cause of death aboard Carnival cruise ship confirmed, as homicide investigation continues Dawson's Creek star James Van Der Beek looks healthy in new social media video as his wife gushes'he's bouncing back' amid cancer battle Her moving videos about the handsome boyfriend who ghosted her went viral and catapulted her to overnight fame. Pam Bondi's furious response after beauty queen prosecutor who upstaged her has Comey and James indictments thrown out by judge Google Maps blunder turns tiny village into shortcut route, causing it to be'bombarded' by lorries that are damaging people's Grade II-listed homes READ MORE: Scientists issue warning over mind-altering'brain weapons' There are five key stages of the human brain, a new study has revealed. Researchers from the University of Cambridge compared brain scans of 3,802 people aged between 0 and 90. Their analysis revealed that the average human life is split up by four pivotal'turning points' between five key stages - childhood, adolescence, adulthood, early ageing, and late ageing.

The integration of new literature into the English curriculum remains a challenge since educators often lack scalable tools to rapidly evaluate readability and adapt texts for diverse classroom needs. This study proposes to address this gap through a multimodal approach that combines transformer-based text classification with linguistic feature analysis to align texts with UK Key Stages. Eight state-of-the-art Transformers were fine-tuned on segmented text data, with BERT achieving the highest unimodal F1 score of 0.75. In parallel, 500 deep neural network topologies were searched for the classification of linguistic characteristics, achieving an F1 score of 0.392. The fusion of these modalities shows a significant improvement, with every multimodal approach outperforming all unimodal models. In particular, the ELECTRA Transformer fused with the neural network achieved an F1 score of 0.996. Unimodal and multimodal approaches are shown to have statistically significant differences in all validation metrics (accuracy, precision, recall, F1 score) except for inference time. The proposed approach is finally encapsulated in a stakeholder-facing web application, providing non-technical stakeholder access to real-time insights on text complexity, reading difficulty, curriculum alignment, and recommendations for learning age range. The application empowers data-driven decision making and reduces manual workload by integrating AI-based recommendations into lesson planning for English literature.

As machine learning technologies continue to advance, the need for high-quality data has become increasingly important. Data is the lifeblood of computer vision applications, as it provides the foundation for machine learning algorithms to learn and recognize patterns within images or video. Without high-quality data, computer vision models will not be able to effectively identify objects, recognize faces, or accurately track movements. Machine learning algorithms require large amounts of data to learn and identify patterns, and this is especially true for computer vision, which deals with visual data. By providing annotated data that identifies objects within images and provides context around them, machine learning algorithms can more accurately detect and identify similar objects within new images.

As part of his keynote for The Manufacturer's Industrial Data Summit, Bala Amavasai, Head of AI and Lead AI Architect at Stanley Black & Decker, explored the benefits of artificial intelligence for manufacturers and some of the ways it can be implemented into businesses. Stanley Black and Decker are at the forefront of delivering digital solutions to industry and operate across manufacturing verticals, with a vision for digital transformation to bring in cutting-edge technology to solve the hardest problems. The ambition is to build connected factories across the globe using technologies including: AI and machine learning; robotics; digital apps and digital twins. Bala Amavasai Head of AI and Lead AI Architect, Stanley Black & Decker Bala explained, "Among these technologies, AI is at the centre of building connected factories; but when we speak about AI, we are not only referring to deep learning AI, in fact it is much more than deep learning. It is machine learning, statistics and all those technologies that fall within the AI domain".

As part of his keynote for The Manufacturer's Industrial Data Summit, Bala Amavasai, Head of AI and Lead AI Architect at Stanley Black & Decker, explored the benefits of artificial intelligence for manufacturers and some of the ways it can be implemented into businesses. Stanley Black and Decker are at the forefront of delivering digital solutions to industry and operate across manufacturing verticals, with a vision for digital transformation to bring in cutting-edge technology to solve the hardest problems.