Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Trending Now Mashable Selects Creator Playbook Back to School Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices Safety Net Versus All Series Have AI apocalypse warnings reached critical mass? Everyone from Bernie Sanders to Sam Altman is freaking out -- but is the average American? A data center town hall in Michigan. Jacob Coxon, the 27-year-old researcher who split his time between OpenAI and Anthropic on pre-training research, announced his resignation from Anthropic last week on X with a lethal thread. Neither company is acting responsibly, he wrote.

Mashable Selects Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Creator Playbook Look Up Back to School Say More Trending Now Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices Safety Net Versus All Series Here are some tips and tricks to help you find the answer to Wordle #1910. Can't get enough of Wordle? Today's answer should be easy to solve if you're a history buff. If you just want to be told today's word, you can jump to the bottom of this article for today's solution revealed. But if you'd rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.

Mashable Selects Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Creator Playbook Look Up Back to School Say More Trending Now Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices Safety Net Versus All Series Avian flu, drone swarms, and mass surveillance included in Anthropic's safety report The AI company releases a doom-filled safety report as the company backs AI regulation. Rebecca Ruiz is a Senior Reporter at Mashable. She frequently covers mental health, digital culture, and technology. Her areas of expertise include suicide prevention, screen use and mental health, parenting, youth well-being, and meditation and mindfulness. Rebecca's experience prior to Mashable includes working as a staff writer, reporter, and editor at NBC News Digital and as a staff writer at Forbes.

Moment Dame Helen Mirren is called an'evil Zionist b****' as she is accosted by pro-Palestine stranger on London street'Hell on Wheels' teen Mackenzie Shirilla's diva demands and disturbing obsession with fame revealed in prison calls with mom Girl, 14, was enjoying evening walk through her leafy Midwest neighborhood... then a stranger in a black car pulled up alongside her and horror ensued Scandalous underbelly of America's new high-stakes obsession: Secret backroom games, brazen cheating allegations... and savage public humiliations I know the devil, he's far more terrifying than in the movies... you can feel his power He became a MAGA star at Trump rallies dressed as the border wall... find out what happened to'Brick Suit Guy' in the free DC Insider newsletter Rich Christians in the'Hamptons of South' are turning on their new neighbor - beach-baptizer and MAGA convert Russell Brand Hugh Jackman's girlfriend Sutton Foster admits she feels'really alone' after she was pictured looking tense with actor and says'women shouldn't be pitted against one another' amid ongoing comparisons to his ex-wife Naomi Osaka doubles down with new French Open'fashion show', despite infuriating opponent, as she adds an ivory train to her'problematic' Eiffel Tower dress as part of £7.5m Nike deal Every man I date has the same vile bedroom kink... it's a total turn off, but I keep saying yes: DEAR JANE Russia's tactics in Ukraine reach a new hellish low as troops are forced to crawl for miles through underground pipes - with a life expectancy of ten minutes at the other end Our perfect summer body secrets: We've found the ultimate shortcut to the'after' photo... and the easy '30:30' diet that sparked a 22-pound transformation Triumphant Trump nominee's bold statement: Cheater Ken Paxton struts out in Margaritaville mode as secrets of his love nest with mistress are exposed Iran attacks US airbase after Trump condemns Tehran's peace plan and strikes regime drone site near Strait of Hormuz Kim Kardashian is introduced to Lewis Hamilton's mother Carmen Larbalestier as new couple dine out with their families in Los Angeles Trump's DHS chief rocked by wild rumor about his WIFE... as furious staff leak scandalous details about his life of luxury Meghan Markle adds luxury matchboxes to As Ever product range as she reveals'limited edition' item will be part of £190 candle set How I dropped from 17.5st to 10st WITHOUT getting loose, saggy skin. So many women struggle with unsightly wrinkles and flapping folds left by extreme weight loss. Here's how to avoid them Uber is making a major update to improve safety for millions of passengers in the UK. Riders will now be able to make audio recordings of their journey through the Uber app if they feel unsafe. Users can activate the feature either before or during the trip and start recording at any point with the press of a button.

The international AI safety report warns systems are improving rapidly - but remain prone to'hallucinations' and hard to control. The international AI safety report warns systems are improving rapidly - but remain prone to'hallucinations' and hard to control. The International AI Safety report is an annual survey of technological progress and the risks it is creating across multiple areas, from deepfakes to the jobs market. Commissioned at the 2023 global AI safety summit, it is chaired by the Canadian computer scientist Yoshua Bengio, who describes the "daunting challenges" posed by rapid developments in the field. The report is also guided by senior advisers, including Nobel laureates Geoffrey Hinton and Daron Acemoglu.

The open letter says that "labelling a publicly accessible model as'experimental' does not absolve Google of its safety obligations," and additionally calls on Google to establish a more common-sense definition of deployment. "Companies have a great public responsibility to test new technology and not involve the public in experimentation," says Bishop of Oxford, Steven Croft, who signed the letter. "Just imagine a car manufacturer releasing a vehicle saying, 'we want the public to experiment and [give] feedback when they crash or when they bump into pedestrians and when the brakes don't work,'" he adds. Croft questions the constraints on providing safety reports at the time of release, boiling the issue down to a matter of priorities: "How much of [Google's] huge investment in AI is being channeled into public safety and reassurance and how much is going into huge computing power?" To be sure, Google isn't the only industry titan to seemingly flout safety commitments.

As data and knowledge expand rapidly, adopting systematic methodologies for ontology generation has become crucial. With the daily increases in data volumes and frequent content changes, the demand for databases to store and retrieve information for the creation of knowledge graphs has become increasingly urgent. The previously established Knowledge Acquisition and Representation Methodology (KNARM) outlines a systematic approach to address these challenges and create knowledge graphs. However, following this methodology highlights the existing challenge of seamlessly integrating Neo4j databases with the Web Ontology Language (OWL). Previous attempts to integrate data from Neo4j into an ontology have been discussed, but these approaches often require an understanding of description logics (DL) syntax, which may not be familiar to many users. Thus, a more accessible method is necessary to bridge this gap. This paper presents a user-friendly approach that utilizes Python and its rdflib library to support ontology development. We showcase our novel approach through a Neo4j database we created by integrating data from the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database. Using this dataset, we developed a Python script that automatically generates the required classes and their axioms, facilitating a smoother integration process. This approach offers a practical solution to the challenges of ontology generation in the context of rapidly growing adverse drug event datasets, supporting improved drug safety monitoring and public health decision-making.

The air transport system recognizes the criticality of safety, as even minor anomalies can have severe consequences. Reporting accidents and incidents play a vital role in identifying their causes and proposing safety recommendations. However, the narratives describing pre-accident events are presented in unstructured text that is not easily understood by computer systems. Classifying and categorizing safety occurrences based on these narratives can support informed decision-making by aviation industry stakeholders. In this study, researchers applied natural language processing (NLP) and artificial intelligence (AI) models to process text narratives to classify the flight phases of safety occurrences. The classification performance of two deep learning models, ResNet and sRNN was evaluated, using an initial dataset of 27,000 safety occurrence reports from the NTSB. The results demonstrated good performance, with both models achieving an accuracy exceeding 68%, well above the random guess rate of 14% for a seven-class classification problem. The models also exhibited high precision, recall, and F1 scores. The sRNN model greatly outperformed the simplified ResNet model architecture used in this study. These findings indicate that NLP and deep learning models can infer the flight phase from raw text narratives, enabling effective analysis of safety occurrences.

This study explores using Natural Language Processing in aviation safety, focusing on machine learning algorithms to enhance safety measures. There are currently May 2024, 34 Scopus results from the keyword search natural language processing and aviation safety. Analyzing these studies allows us to uncover trends in the methodologies, findings and implications of NLP in aviation. Both qualitative and quantitative tools have been used to investigate the current state of literature on NLP for aviation safety. The qualitative analysis summarises the research motivations, objectives, and outcomes, showing how NLP can be utilized to help identify critical safety issues and improve aviation safety. This study also identifies research gaps and suggests areas for future exploration, providing practical recommendations for the aviation industry. We discuss challenges in implementing NLP in aviation safety, such as the need for large, annotated datasets, and the difficulty in interpreting complex models. We propose solutions like active learning for data annotation and explainable AI for model interpretation. Case studies demonstrate the successful application of NLP in improving aviation safety, highlighting its potential to make aviation safer and more efficient.

ECRI and the Institute for Safe Medication Practices PSO know that there were thousands of patient safety events reported in 2021 that will never get reviewed. The patient safety organization is one of about 96 across the country and collects data on mistakes that resulted in patient harm and near misses. This year, member hospitals sent ECRI more than 800,000 of these reports, according to director Sheila Rossi. Federal agencies and PSOs are only able to gain insights from a fraction of events reported every year. Not having the capacity to sift through all the reports has consequences, though it's not required by law.