Psychologists break down how the treat delights our brain and our tastebuds. Breakthroughs, discoveries, and DIY tips sent every weekday. The price of pistachios isn't likely to decrease in the near future. If you're looking for something to blame, you could do worse than directing your ire towards Dubai chocolate . Variants of the internet-famous confection can be found almost everywhere, but the original treat does actually trace back to its namesake's country.

Existing variance reduction techniques used in stochastic simulations for rare event analysis still require a substantial number of model evaluations to estimate small failure probabilities. In the context of complex, nonlinear finite element modeling environments, this can become computationally challenging-particularly for systems subjected to stochastic excitation. To address this challenge, a multi-fidelity stratified sampling scheme with adaptive machine learning metamodels is introduced for efficiently propagating uncertainties and estimating small failure probabilities. In this approach, a high-fidelity dataset generated through stratified sampling is used to train a deep learning-based metamodel, which then serves as a cost-effective and highly correlated low-fidelity model. An adaptive training scheme is proposed to balance the trade-off between approximation quality and computational demand associated with the development of the low-fidelity model. By integrating the low-fidelity outputs with additional high-fidelity results, an unbiased estimate of the strata-wise failure probabilities is obtained using a multi-fidelity Monte Carlo framework. The overall probability of failure is then computed using the total probability theorem. Application to a full-scale high-rise steel building subjected to stochastic wind excitation demonstrates that the proposed scheme can accurately estimate exceedance probability curves for nonlinear responses of interest, while achieving significant computational savings compared to single-fidelity variance reduction approaches.

Over recent years, the rapid evolution and progress of generative models have opened new possibilities in manipulating images, audio, and text, both independently and in a multimodal context. These AI advancements have ignited considerable debate about the essence of these human-engineered "intelligences". Critics have termed large language models (LLMs) as "statistical parrots" (Bender et al., 2021) due to their reliance on data. However, others view them as advanced tools capable of emulating and exploring the intricate structures of the human brain (Zhao et al., 2023; Abbasiantaeb et al., 2024; Fayyaz et al., 2024). Despite this division, it has become increasingly clear that limiting these models to a few specialized areas greatly restricts their potential to fully grasp and portray the complexity of the world. Therefore the integration of sensory modalities through technology, particularly using AI, has emerged as a compelling frontier in computer science and cognitive research (Murari et al., 2020; Turato et al., 2022). As multimodal AI models advance, they increasingly offer innovative solutions for bridging human experiences and machine understanding across diverse sensory domains. These models, which merge information from different modalities enable machines to interpret complex real-world scenarios and provide more nuanced outputs. While recent research has predominantly focused on the intersection of audio and visual modalities, the potential for integrating taste and sound remains relatively unexplored.

"Wait a minute, wait a minute. You ain't heard nothing yet." So went the first line of audible dialogue in a feature film, 1927's The Jazz Singer. It was one of the first times that mass media had conveyed the sight and sound of a scene together, and the audience was enthralled. There have been improvements since: black and white has become colour, frame rates and resolutions have increased and sound quality has improved, but the media we consume still caters overwhelmingly, if not exclusively, to our eyes and ears.

Those who are a stickler for etiquette should look away now. That's because we've all been dining the wrong way and should be eating with our hands, according to a psychologist. Professor Charles Spence, from the University of Oxford, said giving up cutlery is the secret to enjoying food. He says eating with our hands can'heighten the dining experience' – even for meals like pasta and messy curries. Those who are a stickler for etiquette should look away now.

In 1950, computing pioneer Alan Turing predicted that in a few decades, computers would convincingly mimic human intelligence -- a feat known as passing the Turing Test. Fast-forward to earlier this year, when a Google software engineer announced that his conversations with the company's AI-powered chatbot had convinced him that it had become "sentient." "I know a person when I talk to it," he told the Washington Post. As AI technologies such as natural language processing, machine learning, and deep learning rapidly evolve, so does the idea that they will go from imitating humans to making us obsolete: Elon Musk has warned that a superintelligent machine could "take over the world." The fantasy -- or nightmare -- that people and AI will become locked in competition is remarkably enduring.

The cliche about video games is that they're all about escapism. When people switch on a PlayStation or souped-up PC, they do it to lose themselves in a mythical world or intergalactic conflict. They do not come here to power wash a patio. But increasingly, that orthodoxy is being tested. The surging success of the job simulator, in which players take on seemingly mundane real-world careers, shows that our relationship with games is a lot more complex.

A huge reason behind Sonos' success is the company's adaptability. Whenever a new audio streaming service comes along -- and as the industry evolves and pushes new formats like lossless and Dolby Atmos spatial audio -- Sonos is always right there trying to support what's new. For voice assistants, Sonos offers both Amazon Alexa and Google Assistant on its smart speakers. And the company also widely supports Apple's AirPlay 2 across its current product lineup. That's all on top of the whole-home audio platform that Sonos has built its brand on. But to stay so nimble and adaptable, Sonos constantly needs to be looking forward and have some sense of what's coming down the technology pike.

After several stop-starts, artificial intelligence, or AI, is now the single most important driver shaping the future of work, but has proved itself to be evolutionary rather than revolutionary. So says Ian Jones, co-founder and chief strategy officer at the business software developer AMPLYFI. While it cannot transform a firm overnight, nor be "a silver bullet to business leaders' painpoints", it can deliver "incremental improvements to productivity or planning" provided realistic expectations are set, Mr Jones says. AI in HR can make a positive impact across everything from recruitment and retention to fostering staff wellbeing, enriching jobs and protecting against brain drain, he believes. As information overload intensifies, the ability of AI to process big data at a speed, scale, and accuracy that humans cannot match will reduce stress among all knowledge workers.

Technology is changing almost everything about the world we live in. It's also changing how we work. These 10 industry analysts have smart ideas about the future of work to share. Following their conversations can help you plan for what's next. Meghan M. Biro is the founder and CEO of TalentCulture, a publication that explores how the workplace is changing.