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Israelis Have Successfully Grown Mouse Embryos In Artificial Wombs
Thanks to the work of a group of Israeli scientists, we’re one step closer to being able to grow human babies in artificial wombs. The scientists, led by Professor Jacob Hanna, have successfully extracted 250 embryos from pregnant mice and placed them in a contraption designed to simulate the uterine wall and give the embryos the right conditions to grow.
“We have grown hundreds of mice in this way, in a method that has taken seven years to develop, and I’m still captivated every time I see it,” said Hanna, who works at the Weizmann Institute of Science, a public research university in Rehovot, Israel. “This could be relevant to other mammals, including humans, though we acknowledge that there are ethical issues related to growing humans outside the body.”
Hanna and his team have revealed their breakthrough in the peer-reviewed journal Nature, a multidisciplinary publication known for publishing the finest research from a variety of academic disciplines.
Previous experiments of this kind involved fetuses with already developed organs, such as when the Children’s Hospital of Philadelphia grew fetal lambs for over four weeks in artificial wombs back in 2017. The Israel-based team started with five-days old embryos consisting of just 250 cells, placing them into a special liquid to provide nourishment.
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“By day 11, they make their own blood and have a beating heart, a fully developed brain. Anybody would look at them and say, ‘this is clearly a mouse fetus with all the characteristics of a mouse.’ It’s gone from being a ball of cells to being an advanced fetus,” explained Hanna.
While this experiment certainly invokes unsettling scenes from the movie Matrix, with machines growing humans in massive quantities to extract electricity from their bodies, scientists are still a long way from applying the research to create life outside the human body. It’s even possible that the ethical issues surrounding such research will lead to its bad, or at least a heavy regulation.
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UAE-Built Falcon-H1 Arabic Leads LLM Benchmarks
The lean Emirati-built language model beats larger global systems and puts Arabic at the center of training.
Abu Dhabi’s Technology Innovation Institute has released an Arabic-first large language model that tops global test boards, an uncommon edge for a region long served by English-centric systems.
Falcon-H1 Arabic comes in 3B, 7B and 34B versions. The flagship posts 75.36% accuracy on comprehensive Arabic tasks and ranks first on the Open Arabic LLM Leaderboard. It also outperforms Meta’s Llama-70B and Alibaba’s Qwen-72B while using less than half their parameters. The smallest model beats Microsoft’s Phi-4 Mini by ten percentage points on equivalent benchmarks.
Arabic remains hard territory for AI. Flexible word order, dense morphology and constant switching between regional dialects and Modern Standard Arabic leave many global models missing context or tone. Academic research has pointed to a shortage of annotated datasets for dialect and informal speech. The impact shows up in classrooms, call centers and government portals where Arabic chatbots lag their English counterparts.
TII trained Falcon-H1 Arabic on formal writing, dialects and culturally grounded content. Beyond scores, it handles practical use: long conversations, reasoning rather than literal translation, and inputs of up to 192,000 words — enough for medical records or legal filings.
“The aim is innovation that is accessible, relevant, and impactful,” said Faisal Al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council.
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Arabic is spoken by more than 450 million people across over 20 countries, yet has often been treated as a secondary language for foundation models. The UAE move signals a push to flip that logic and build Arabic-native stacks rather than wait for global systems to improve.
Falcon models have led their categories since 2023. With H1 Arabic, TII is offering free access via chat.falconllm.tii.ae for developers, media, healthcare and public-sector users looking to automate in natural Arabic.
As the region continues to invest in sovereign computing and data localization, the addition of Falcon-H1 Arabic adds a powerful tool built for the native language, instead of an afterthought attached to an English-trained system.
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