ISIS shadow commander Abu-Bilal al-Minuki was killed in a precision strike in Nigeria after human intelligence penetrated defenses that had shielded him for years, analyst says.

Stereotypes are generalised assumptions about societal groups, and even state-of-the-art LLMs using in-context learning struggle to identify them accurately. Due to the subjective nature of stereotypes, where what constitutes a stereotype can vary widely depending on cultural, social, and individual perspectives, robust explainability is crucial. Explainable models ensure that these nuanced judgments can be understood and validated by human users, promoting trust and accountability. We address these challenges by introducing HEARTS (Holistic Framework for Explainable, Sustainable, and Robust Text Stereotype Detection), a framework that enhances model performance, minimises carbon footprint, and provides transparent, interpretable explanations. We establish the Expanded Multi-Grain Stereotype Dataset (EMGSD), comprising 57,201 labeled texts across six groups, including under-represented demographics like LGBTQ+ and regional stereotypes. Ablation studies confirm that BERT models fine-tuned on EMGSD outperform those trained on individual components. We then analyse a fine-tuned, carbon-efficient ALBERT-V2 model using SHAP to generate token-level importance values, ensuring alignment with human understanding, and calculate explainability confidence scores by comparing SHAP and LIME outputs. Finally, HEARTS is applied to assess stereotypical bias in 12 LLM outputs, revealing a gradual reduction in bias over time within model families.

With the projected surge in the elderly population, service robots offer a promising avenue to enhance their well-being in elderly care homes. Such robots will encounter complex scenarios which will require them to perform decisions with ethical consequences. In this report, we propose to leverage the Intelligent Disobedience framework in order to give the robot the ability to perform a deliberation process over decisions with potential ethical implications. We list the issues that this framework can assist with, define it formally in the context of the specific elderly care home scenario, and delineate the requirements for implementing an intelligently disobeying robot. We conclude this report with some critical analysis and suggestions for future work.

"With the support of the Canadian Space Agency, Canadian scientists and engineers will be able to participate in near-term missions to the lunar surface," said Ewan Reid, president and chief executive of Mission Control. Reem Mohammed/The National The Emirates Lunar Mission logo as revealed by Sheikh Hamdan bin Mohammed, Crown Prince of Dubai. UAE's lunar mission also aims to study lunar soil, as well as dust. Reem Mohammed/The National The Mohammed bin Rashid Space Centre is carrying out the Emirates Lunar Mission. The Emirates Lunar Mission will also be provided with wired communication and power during the cruise phase and wireless communication on the lunar surface by iSpace.

Purpose: The development of metaheuristic algorithms has increased by researchers to use them extensively in the field of business, science, and engineering. One of the common metaheuristic optimization algorithms is called Grey Wolf Optimization (GWO). The algorithm works based on imitation of the wolves' searching and the process of attacking grey wolves. The main purpose of this paper to overcome the GWO problem which is trapping into local optima. Design or Methodology or Approach: In this paper, the K-means clustering algorithm is used to enhance the performance of the original Grey Wolf Optimization by dividing the population into different parts. The proposed algorithm is called K-means clustering Grey Wolf Optimization (KMGWO). Findings: Results illustrate the efficiency of KMGWO is superior to GWO. To evaluate the performance of the KMGWO, KMGWO applied to solve 10 CEC2019 benchmark test functions. Results prove that KMGWO is better compared to GWO. KMGWO is also compared to Cat Swarm Optimization (CSO), Whale Optimization Algorithm-Bat Algorithm (WOA-BAT), and WOA, so, KMGWO achieves the first rank in terms of performance. Statistical results proved that KMGWO achieved a higher significant value compared to the compared algorithms. Also, the KMGWO is used to solve a pressure vessel design problem and it has outperformed results. Originality/value: Results prove that KMGWO is superior to GWO. KMGWO is also compared to cat swarm optimization (CSO), whale optimization algorithm-bat algorithm (WOA-BAT), WOA, and GWO so KMGWO achieved the first rank in terms of performance. Also, the KMGWO is used to solve a classical engineering problem and it is superior

This undated handout photo issued by Counter Terrorism Policing North East shows Sudanese asylum seeker Munir Mohammed. A man and woman who met on a Muslim dating website have been handed prison sentences for plotting an Islamic State-inspired bomb attack in Britain. Prosecutors say Munir Mohammed, an asylum-seeker from Sudan, and London pharmacist Rowaida El-Hassan met on SingleMuslim.com On Thursday, Feb. 22, 2018, judge Michael Topolski sentenced 37-year-old Mohammed to life with no chance of parole for 14 years. El-Hassan, who is 32, was jailed for 12 years, plus five years on probation.

LONDON – A man and woman who met on a Muslim dating website have been handed prison sentences for plotting an Islamic State-inspired bomb attack in Britain. Prosecutors say Munir Mohammed, an asylum-seeker from Sudan, and London pharmacist Rowaida El-Hassan met on SingleMuslim.com Last month, a jury at London's Central Criminal Court found them guilty of preparing terrorist acts. On Thursday, judge Michael Topolski sentenced 37-year-old Mohammed to life with no chance of parole for 14 years. El-Hassan, who is 32, was jailed for 12 years, plus five years on probation.

Shiraz Khota, SAP SAThe use of artificial intelligence techniques is revolutionising a number of technologies today, including internet search, game theory, business intelligence and medicine. What's not as well known is how it's changing finance for the better. AI is making finance faster, more efficient and more innovative. Plugging large amounts of historical data into deep learning systems can yield surprising – and profitable – results, but there are also the more run-of-the-mill benefits such as reducing the day-to-day grind of repetitive tasks. Where could AI make a difference in financial work right now? Shiraz Khota, head of S/4 Hana Cloud at SAP South Africa: A lot of the technology that is out there right now already has AI technology in it, even if it's rudimentary.

A couple who met on a dating website have gone on trial accused of plotting a terror attack using a homemade bomb. Munir Mohammed, 36, of Leopold Street, Derby, allegedly volunteered for a "new job in the UK", via Facebook with a man he believed was an IS commander. The Old Bailey heard he met pharmacist Rowaida El-Hassan, 33, of Willesden Lane, north-west London, online and she provided chemical expertise. Both deny the charge of preparing terrorist acts. At the time of his arrest in December, Mr Mohammed had two of the three elements of explosives, the jury was told.

A robot has addressed the UN to say that droids with artificial intelligence could help distribute the world's energy and food resources. Sophia, created by Hanson robotics, made a surprise appearance at a UN technology event in New York as a panellist. The life-like robot, which has become a media sensation having given numerous interviews around the world and even performed in concert, shared a brief conversation with UN Deputy Secretary-General, Amina J. Mohammed. A robot has addressed the UN to say that droids with artificial intelligence would better distribute the world's energy and food resources Sophia, created by Hanson robotics, made a surprise appearance at a UN event in New York as a panellist. She is pictured with UN Deputy Secretary-General, Amina J. Mohammed The life-like robot, which has become a media sensation having given numerous interviews around the world and even performed in concert, shared a brief conversation with UN Deputy Secretary-General, Amina J. Mohammed Quoting renowned science fiction writer William Gibson, she told Mohammed: 'The future is already here.