Learning to detect and encode temporal regularities (TRs) in events is a prerequisite for human-like intelligence. These regularities should be formed from limited event samples and stored as easily retrievable representations.

Woke ESPN star claims she felt'ill' sitting near JD Vance while watching Winter Olympics Nancy Guthrie note sender says they're'ready to name names' in exchange for cash and doesn't trust police: Live updates I knew Kurt Cobain and that vindictive moron Courtney... the truth about his'murder' is more twisted than you realize. Amazing new side-effect of nicotine - it can help you eat less, live longer and even sharpen your brain. Disturbing new surveillance camera details that could explain how Nancy Guthrie's abductor fled without a trace as flip-flopping sheriff makes another evidence confession Read the disturbing emails between Epstein and new age guru Deepak Chopra that are buried in bombshell files: 'Only sinners invited'... 'Bring your girls' Melania Trump's favorite lipsticks revealed... and the eyeshadows she can't live without Pancreatic cancer explosion: As cases surge in young people, survivors reveal subtle early signs that are easily dismissed... and doctors share lifestyle tweaks that help PREVENT it Distraught family ordered to remove HEADSTONE atop two young brothers' graves that features very inappropriate images HGTV star was canned after vile video leak... now insiders make bombshell claims about what else she was doing behind the scenes: 'Unhinged' Israeli hostage reveals how she survived being tortured and sexually assaulted'almost every single day' during 482 days in Gaza - with only the thought of her kidnapped boyfriend keeping her going Lindsey Vonn's surgeon speaks out amid amputation fears to reveal star's'delicate' situation after horror Winter Olympics crash Pam Bondi is caught SPYING on lawmakers reviewing Epstein files'torture video' Can you name all three nepo babies in this photo taken during New York fashion week? Pretty Denver suburb descends into vagrant-filled hellhole... with lawmakers dismissing residents concerns by telling them that'homelessness is a complex issue' Iconic 80s heartthrob who starred with Sean Penn in coming-of-age classic is seen at 69... who is he? Scientists may have spotted a long-lost Soviet Union Lander, more than 60 years after it vanished on the surface of the moon.

Woke ESPN star claims she felt'ill' sitting near JD Vance while watching Winter Olympics Nancy Guthrie note sender says they're'ready to name names' in exchange for cash and doesn't trust police: Live updates I knew Kurt Cobain and that vindictive moron Courtney... the truth about his'murder' is more twisted than you realize. Amazing new side-effect of nicotine - it can help you eat less, live longer and even sharpen your brain. Disturbing new surveillance camera details that could explain how Nancy Guthrie's abductor fled without a trace as flip-flopping sheriff makes another evidence confession Read the disturbing emails between Epstein and new age guru Deepak Chopra that are buried in bombshell files: 'Only sinners invited'... 'Bring your girls' Melania Trump's favorite lipsticks revealed... and the eyeshadows she can't live without Pancreatic cancer explosion: As cases surge in young people, survivors reveal subtle early signs that are easily dismissed... and doctors share lifestyle tweaks that help PREVENT it Distraught family ordered to remove HEADSTONE atop two young brothers' graves that features very inappropriate images HGTV star was canned after vile video leak... now insiders make bombshell claims about what else she was doing behind the scenes: 'Unhinged' Israeli hostage reveals how she survived being tortured and sexually assaulted'almost every single day' during 482 days in Gaza - with only the thought of her kidnapped boyfriend keeping her going Lindsey Vonn's surgeon speaks out amid amputation fears to reveal star's'delicate' situation after horror Winter Olympics crash Pam Bondi is caught SPYING on lawmakers reviewing Epstein files'torture video' Can you name all three nepo babies in this photo taken during New York fashion week? Pretty Denver suburb descends into vagrant-filled hellhole... with lawmakers dismissing residents concerns by telling them that'homelessness is a complex issue' Iconic 80s heartthrob who starred with Sean Penn in coming-of-age classic is seen at 69... who is he? Widespread cell phone disruptions are set to hit thousands of Americans across Texas just as the state recovers from chaos in El Paso this week.

Woke ESPN star claims she felt'ill' sitting near JD Vance while watching Winter Olympics Nancy Guthrie note sender says they're'ready to name names' in exchange for cash and doesn't trust police: Live updates I knew Kurt Cobain and that vindictive moron Courtney... the truth about his'murder' is more twisted than you realize. Amazing new side-effect of nicotine - it can help you eat less, live longer and even sharpen your brain. Disturbing new surveillance camera details that could explain how Nancy Guthrie's abductor fled without a trace as flip-flopping sheriff makes another evidence confession Read the disturbing emails between Epstein and new age guru Deepak Chopra that are buried in bombshell files: 'Only sinners invited'... 'Bring your girls' Melania Trump's favorite lipsticks revealed... and the eyeshadows she can't live without Pancreatic cancer explosion: As cases surge in young people, survivors reveal subtle early signs that are easily dismissed... and doctors share lifestyle tweaks that help PREVENT it Distraught family ordered to remove HEADSTONE atop two young brothers' graves that features very inappropriate images HGTV star was canned after vile video leak... now insiders make bombshell claims about what else she was doing behind the scenes: 'Unhinged' Israeli hostage reveals how she survived being tortured and sexually assaulted'almost every single day' during 482 days in Gaza - with only the thought of her kidnapped boyfriend keeping her going Lindsey Vonn's surgeon speaks out amid amputation fears to reveal star's'delicate' situation after horror Winter Olympics crash Pam Bondi is caught SPYING on lawmakers reviewing Epstein files'torture video' Can you name all three nepo babies in this photo taken during New York fashion week? Pretty Denver suburb descends into vagrant-filled hellhole... with lawmakers dismissing residents concerns by telling them that'homelessness is a complex issue' Iconic 80s heartthrob who starred with Sean Penn in coming-of-age classic is seen at 69... who is he? READ MORE: How AI cops will be used to patrol Britain's streets Robot police officers will be patrolling our streets in just five years, an expert has predicted.

Doctor at Jeffrey Epstein's post-mortem says the paedophile was strangled and NOT hanged Married California coffee growing pioneers die in'tragic accident' leaving their three children orphaned Lindsey Vonn's'primary goal is to keep her leg': Knee specialist warns Winter Olympics legend could face amputation or'lifelong consequences' after'motorcycle-style' skiing crash Disturbing Kurt Cobain autopsy details revealed for first time: As new probe claims Nirvana singer's death was a HOMICIDE, here's the evidence that convinced forensic investigators HGTV star was canned after vile video leak... now insiders make bombshell claims about what else she was doing behind the scenes: 'Unhinged' Gwyneth Paltrow's'nepo baby' Apple Martin, 21, reveals what cosmetic procedures she has had done Nashville's hottest couple engulfed by cheating storm as insiders declare: 'It's over' Jill Zarin's replacement REVEALED after racist Bad Bunny rant got her sacked from her TV comeback Scientists are ...

As global air passenger traffic is forecast to hit 10.2 billion in 2026, a 3.9 percent year-on-year increase, investments have been pouring in to improve airport infrastructure and operational efficiency and use artificial intelligence to achieve it. Working with data released by Airport Council International, a irports are relying on the increasing use of AI to embrace the rise in demand. The use of AI-powered analytics to anticipate congestion at security, immigration and boarding points is also helping to prevent delays. Resources are being allocated to shift from reactive crowd management to predictive operations. AI-powered baggage optimisation tools and biometric processing - which would allow passengers to walk through immigration without the need to present a physical passport - are also gaining traction as airports seek to improve passenger experience while maintaining operational efficiency.

If you want to put people back on the moon, don't gut the agency in charge of getting them there. The senator wanted a promise. For the last six years--or maybe the last decade or quarter century, depending on how you count it--the United States and China had been locked in a space race, a contest to see which nation could put its people on the moon . Senator Ted Cruz wanted President Donald Trump's nominee to run NASA, Jared Isaacman, to pledge that the US would not lose. Cruz brought a little surprise to Isaacman's confirmation hearing last April. It was a poster of the moon. On one side stood three astronauts and a giant Chinese flag. On the other were two more figures in space suits, with the tiniest Stars and Stripes planted in the lunar soil . Cruz apologized for the imbalance. "My team used ChatGPT," explained the senator, who chairs the committee that oversees NASA. Then Cruz, with a bit more seriousness, asked Isaacman, "Do we have your commitment that you will not allow the scenario on the right of this poster to happen? That China will not beat us to the moon?" Isaacman, a billionaire entrepreneur who had paid for his own missions to space, replied, "Senator, I only see the left-hand portion of that poster."

The growing prevalence of artificial intelligence (AI) in various applications underscores the need for agents that can successfully navigate and adapt to an ever-changing, open-ended world. A key challenge is ensuring these AI agents are robust, excelling not only in familiar settings observed during training but also effectively generalising to previously unseen and varied scenarios. In this thesis, we harness methodologies from open-endedness and multi-agent learning to train and evaluate robust AI agents capable of generalising to novel environments, out-of-distribution inputs, and interactions with other co-player agents. We begin by introducing MiniHack, a sandbox framework for creating diverse environments through procedural content generation. Based on the game of NetHack, MiniHack enables the construction of new tasks for reinforcement learning (RL) agents with a focus on generalisation. We then present Maestro, a novel approach for generating adversarial curricula that progressively enhance the robustness and generality of RL agents in two-player zero-sum games. We further probe robustness in multi-agent domains, utilising quality-diversity methods to systematically identify vulnerabilities in state-of-the-art, pre-trained RL policies within the complex video game football domain, characterised by intertwined cooperative and competitive dynamics. Finally, we extend our exploration of robustness to the domain of LLMs. Here, our focus is on diagnosing and enhancing the robustness of LLMs against adversarial prompts, employing evolutionary search to generate a diverse range of effective inputs that aim to elicit undesirable outputs from an LLM. This work collectively paves the way for future advancements in AI robustness, enabling the development of agents that not only adapt to an ever-evolving world but also thrive in the face of unforeseen challenges and interactions.

As Large Language Models (LLMs) become increasingly integrated into everyday life and information ecosystems, concerns about their implicit biases continue to persist. While prior work has primarily examined socio-demographic and left--right political dimensions, little attention has been paid to how LLMs align with broader geopolitical value systems, particularly the democracy--authoritarianism spectrum. In this paper, we propose a novel methodology to assess such alignment, combining (1) the F-scale, a psychometric tool for measuring authoritarian tendencies, (2) FavScore, a newly introduced metric for evaluating model favorability toward world leaders, and (3) role-model probing to assess which figures are cited as general role-models by LLMs. We find that LLMs generally favor democratic values and leaders, but exhibit increased favorability toward authoritarian figures when prompted in Mandarin. Further, models are found to often cite authoritarian figures as role models, even outside explicit political contexts. These results shed light on ways LLMs may reflect and potentially reinforce global political ideologies, highlighting the importance of evaluating bias beyond conventional socio-political axes. Our code is available at: https://github.com/irenestrauss/Democratic-Authoritarian-Bias-LLMs.

Transformer models have significantly advanced Natural Language Processing (NLP), demonstrating strong performance in English. However, their effectiveness in Arabic, particularly for Named Entity Recognition (NER), remains limited, even with larger pre-trained models. This performance gap stems from multiple factors, including tokenisation, dataset quality, and annotation inconsistencies. Existing studies often analyze these issues in isolation, failing to capture their joint effect on system behaviour and performance. We introduce DeformAr (Debugging and Evaluation Framework for Transformer-based NER Systems), a novel framework designed to investigate and explain the performance discrepancy between Arabic and English NER systems. DeformAr integrates a data extraction library and an interactive dashboard, supporting two modes of evaluation: cross-component analysis and behavioural analysis. The framework divides each language into dataset and model components to examine their interactions. The analysis proceeds in two stages. First, cross-component analysis provides systematic diagnostic measures across data and model subcomponents, addressing the "what," "how," and "why" behind observed discrepancies. The second stage applies behavioural analysis by combining interpretability techniques with token-level metrics, interactive visualisations, and representation space analysis. These stages enable a component-aware diagnostic process that detects model behaviours and explains them by linking them to underlying representational patterns and data factors. DeformAr is the first Arabic-specific, component-based interpretability tool, offering a crucial resource for advancing model analysis in under-resourced languages.