A new wallet opened a 20x short BTC position on Hyperliquid and incurred a floating loss of $1.8 million.

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Climbing to the top of the meme coin charts takes more than a viral mascot or celebrity tweets. Hype may spark attention, but only momentum, utility, and adaptability keep it alive. That’s why the latest debate among crypto enthusiasts is catching attention. While Dogecoin remains a household name, a new player has entered the arena […] The post New Crypto Investors Are Backing Layer Brett Over Dogecoin After Topping The Meme Coin Charts This Month appeared first on Live Bitcoin News.

The post NVIDIA Leaders Honored with Queen Elizabeth Prize for Engineering appeared on BitcoinEthereumNews.com. Luisa Crawford Nov 07, 2025 05:55 NVIDIA’s Jensen Huang and Bill Dally receive the Queen Elizabeth Prize for their pivotal work in AI and accelerated computing, marking a significant contribution to modern engineering. NVIDIA’s founder and CEO Jensen Huang, along with Chief Scientist Bill Dally, have been awarded the prestigious Queen Elizabeth Prize for Engineering. Their recognition comes as a result of their groundbreaking contributions to the fields of artificial intelligence (AI) and machine learning, according to NVIDIA’s official blog. Pioneers in Accelerated Computing Huang and Dally were among seven laureates recognized for their pioneering efforts in developing GPU architectures that are fundamental to current AI systems and machine learning algorithms. The award, presented by King Charles III at St James’s Palace, highlights their role in the evolution of accelerated computing, a key driver of the ongoing transformation in the technology sector. Huang expressed immense pride in being acknowledged alongside other innovators who have revolutionized the world, stating, “We are living through the most profound transformation in computing since the invention of the microprocessor.” He emphasized the essential nature of AI as future infrastructure, akin to electricity and the internet in past eras. Contributions to AI Advancement Dally credited the progress in AI to decades of advancements in parallel computing and stream processing, underscoring the continual refinement of AI hardware and software to empower greater human achievements. The duo’s work has enabled the training of large models and the simulation of complex systems, significantly advancing scientific research. Their contributions have laid the groundwork for the widespread adoption of AI technologies, continuing a tradition of innovation that the Queen Elizabeth Prize for Engineering aims to celebrate. Engagement with the UK Government On the same day as the award ceremony, Huang and Dally participated…