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World's oldest shipwreck found off coast of Turkey

BBC News

World's oldest shipwreck found off coast of Turkey To play this video you need to enable JavaScript in your browser. The world's oldest shipwreck has been discovered off the coast of Turkey, archaeologists say. They have dated it to between 4,400 and 4,700 years old, which is the Early Bronze Age, and is around the same time that the Great Pyramid was being built. The ship's wooden structure has not survived, but the ceramic storage pots it was carrying were lying on the sea floor and, remarkably, some still contain traces of what they held inside. The archaeologists who found the ship say it was about 10m in length and was a trade vessel carrying cargo across the Mediterranean Sea.


How to watch Italy vs. Turkey online for free

Mashable

Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Say More Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook In My Bag AI at School Safety Net Versus Trending Now All Series How to watch Italy vs. Turkey online for free Live stream select fixtures from the UEFA Nations League without spending anything. Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.



How the U.S. Treasury's New Aviation Sanctions on Iran Extend Beyond Tehran

TIME - Tech

The U.S. Treasury issued sweeping new sanctions against Iran this week, targeting the country’s airlines and their international service providers as it ramps up its effort to isolate Tehran from the global economy.


The Promise of the Kurdish Peace

TIME - Tech

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Trump Breaks Silence on Secret Plane Switch in Turkey Over Possible Iranian Threat

TIME - Tech

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Why Trump's Secret Flight Was Extraordinary by Presidential Standards

TIME - Tech

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Turkey's Erdogan Is Running Out of Tricks

TIME - Tech

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How Turkey Hacked the Hair Transplant Industry

WIRED

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.


Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering (Appendix)

Neural Information Processing Systems

We chose the Google Search corpus [Luo et al., 2021] for our question-answering system as it provides good coverage of the knowledge needed and is publicly available. However, as noted by the authors of RA-VQA, additional knowledge bases may be required to answer some questions correctly. Future work may address the issue by improving the quality and expanding the coverage of knowledge. We do not perceive any immediate ethical concerns associated with the misuse of our proposed system. There is a possibility that the trained KB-VQA system might generate inappropriate or biased content as a result of the training data biases during LLM and LMM pre-training and fine-tuning.