When you purchase through links in our articles, we may earn a small commission. I can't stop using this website that lets me drive through cities around the world Drive and Listen combines street-level video with live local radio for a surprisingly immersive experience--even if it's only from your desktop. Drive and Listen might not sound like it, but it's strangely relaxing once you try it. The site provides exactly the experience the name suggests: Pick a city anywhere in the world, press play, and sit back as you ride along through the streets listening to local radio stations. The site was created during the pandemic by a student in Turkey who missed traveling and wanted a way to reconnect with places beyond his own neighborhood.

The backpropagation algorithm has experienced remarkable success in training large-scale artificial neural networks; however, its biological plausibility has been strongly criticized, and it remains an open question whether the brain employs supervised learning mechanisms akin to it. Here, we propose correlative information maximization between layer activations as an alternative normative approach to describe the signal propagation in biological neural networks in both forward and backward directions. This new framework addresses many concerns about the biological-plausibility of conventional artificial neural networks and the backpropagation algorithm. The coordinate descent-based optimization of the corresponding objective, combined with the mean square error loss function for fitting labeled supervision data, gives rise to a neural network structure that emulates a more biologically realistic network of multi-compartment pyramidal neurons with dendritic processing and lateral inhibitory neurons. Furthermore, our approach provides a natural resolution to the weight symmetry problem between forward and backward signal propagation paths, a significant critique against the plausibility of the conventional backpropagation algorithm. This is achieved by leveraging two alternative, yet equivalent forms of the correlative mutual information objective. These alternatives intrinsically lead to forward and backward prediction networks without weight symmetry issues, providing a compelling solution to this long-standing challenge.

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From specialized motors to the use of machine-learning algorithms, Turkey's billion-dollar hair-transplant industry is the result of a constant process of innovation. The astounding growth of the hair-transplant industry in Turkey is not just a medical tourism success story; it's also a tale of "hacked" medical equipment and algorithmic craftsmanship. From a biological and evolutionary perspective, human hair is often viewed as an unremarkable mass of keratin that still plays some important functions--protecting our scalps from the sun's harmful ultraviolet rays and regulating our body temperatures--but, for the most part, is no longer essential to our survival. Yet, since ancient times, our subconscious perceptions of whether another person is healthy, young, or fertile have been based on visual cues such as skin radiance, the integrity of teeth, and hair density. Deep within our perceptions, hair has become one of the most powerful representations of our identity and self-confidence. Today, the global hair-transplant and restoration industry, which has evolved around this deep psychological and evolutionary need, has grown into a massive, multibillion-dollar industry. Various research firms have estimated the total size of the global hair-transplant market as sitting somewhere between $7.33 billion and $11.61 billion in 2024. And those figures don't include the underground economy.

Accurate modeling of aerodynamic loads is essential for understanding and predicting the responses of complex structural systems. However, these models often rely on simplifications of the true physical forces, introducing assumptions that can limit their accuracy. Validating such models becomes particularly challenging in the presence of noisy or incomplete data. To address this, we introduce a probabilistic physics-informed machine learning approach designed to reconstruct the underlying aerodynamic loads from noisy measurements of structural dynamic responses. The model avoids overfitting, eliminates the need for regularization schemes, and allows for the use of heterogeneous and multi-fidelity data during the training process. The efficacy of the approach is demonstrated through the reconstruction of aerodynamic loads on the Great Belt East Bridge, simulated under a linear unsteady assumption. Results show a strong agreement between true and predicted loads, particularly related to root mean squared errors, magnitude, phase angle and peak values of the signals. The method for load reconstructing holds broad applicability, such as modeling validation, future load estimation, and structural damage prognosis.

Why is Israel still in southern Lebanon? A war to shape Lebanon's future'The world is sounding an alarm': Why big tech is the new colonist When investigations by Al Jazeera and other media outlets in 2024 revealed that Israeli-linked artificial intelligence (AI) systems such as Lavender and Gospel had helped generate thousands of military targets in Gaza, critics warned that warfare was entering a new era - one driven not only by soldiers and bombs, but by algorithms, data, and surveillance technology. Then, in September 2024, thousands of pagers and walkie-talkies used by members of Hezbollah exploded in coordinated attacks in Lebanon, widely attributed to Israeli intelligence operations that had turned ordinary communication devices into weapons. And, last year, reporting by Al Jazeera also raised concerns about the use of cloud and data infrastructure linked to major US technology companies in Israeli surveillance operations involving Palestinians. For a growing number of scholars, economists and political thinkers, such developments reflect more than just the changing nature of conflict.

What are Russia's gains from the Iran war? 'We are not losers; we are winners' A Ukrainian married couple, both aged 75, were killed in a Russian attack on Odesa, Ukrainian officials said. Russia launched a series of drone attacks on and near Ukraine's southern port city. The assault destroyed residential buildings and hit a foreign merchant ship, according to Ukrainian authorities. A separate attack killed the married couple and wounded another, reported Ukraine's State Emergency Service. Serhiy Lysak, head of the local military administration, shared images of a building engulfed in flames and another torn open along one side, as emergency crews worked inside.

What Gilgo Beach killer's wife REALLY knew: Prosecutor reveals chilling truth about life with monster husband... and the'interests' she couldn't ignore Texas bride airlifted back to US on emergency flight after suffering'life-threatening' illness on honeymoon in Japan I thought I'd quit my addiction to'tweakments' and Botox forever. Then, feeling particularly confident at a Dubai lunch, I asked a stranger to guess my age... The lie my husband told to stop me divorcing him is beyond unforgivable. Every woman must beware... otherwise you might never realize: DEAR JANE Elizabeth Smart stuns fans with new incredible bodybuilding photos: 'I refuse to be ashamed' Dark secrets Days of Our Lives star Patrick Muldoon took to his grave: He'tried to hide' truth for decades... now friends are all whispering the same thing after his shock death New'Hollywood dose' pill: A-listers hooked on'youth elixir' that dermatologists say is anti-aging, shrinks pores, smooths wrinkles... and even banishes rosacea Katie Holmes likes telling comment about ex Joshua Jackson who shot to fame with her on Dawson's Creek Trump threatens to'blow up the rest of' Iran and'its leaders' with new Strait of Hormuz ultimatum'Paranoid' Tiger Woods and Vanessa Trump make major shakeup in the wake of golf legend's DUI scandal Death row inmate Chadwick Willacy who burned Florida mom alive during burglary is executed in front of victim's son What has Adam Levine done to his face? Meta's Big Brother move: Mark Zuckerberg's firm starts tracking employees' mouse clicks and taking screenshots of their screens - as one worker calls it'very dystopian' Meta has revealed plans to start tracking its employees' keystrokes and mouse clicks.

What are Russia's gains from the Iran war? 'We are not losers; we are winners' Russia strikes Ukraine's Odesa port, kills railway worker in Zaporizhia Russian drones have attacked Ukraine's main Black Sea port in the southern city of Odesa and a railway in the region of Zaporizhia, killing a train driver, according to Ukraine's Deputy Prime Minister Oleksii Kuleba. The overnight attacks damaged the infrastructure of the Odesa port, including berths, warehouses, railway infrastructure and port operators' facilities, Kuleba said in a statement on X on Wednesday. Kuleba said this is "another proof of terrorism, Russia is at war against peaceful people, against those who were simply doing their job and keeping the country moving". Russia also launched several drones and missiles on a flight path near the disused Chornobyl nuclear plant, elevating the risk of a significant accident, according to Ukraine's top state prosecutor. This comes as Ukraine prepares to mark the 40th anniversary of the 1986 Chornobyl disaster on Sunday.

In the past, voice assistants like Siri or the one in your satnav used so-called'synthetic voices'. These require voice actors to spend hours in the recording studio, meticulously sampling all the different words and phrases that the assistant might need. Voice clones, on the other hand, have revolutionised how synthetic voices are created, by using AI to digitally recreate someone's speech patterns. These clones can be created with as little as a few seconds of recorded audio, even using clips from social media or snippets of conversation as the raw material. This has sparked concerns that criminals using AI could easily impersonate friends, family, or co-workers to manipulate their targets . According to the National Trading Standards, criminals are already using AI to clone people's voices and set up unauthorised direct debits over the phone. In the study, the researchers created voice clones of human participants using just 120 pre-recorded sentences. Participants listened to 80 unique sentences - 40 spoken by a real person and 40 spoken by an AI voice clone. The researchers compared human (top) AI-generated (bottom) voice recordings to see why this might be the case, but couldn't find any clear explanation Can you tell which voices are AI?