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In 2025, Amazon Web Services (AWS) continues to push the boundaries of cloud computing with its Graviton4 processors, a family of Arm-based chips that are transforming how businesses approach cost efficiency and performance in the cloud.
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In a world captivated by the quest to defy time, a stunning discovery at the Babraham Institute in Cambridge has set hearts racing. Scientists have found a way to rewind the biological clock of skin cells, coaxing them to act as if they belonged to someone 30 years younger.
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Deep beneath the surface of the ocean, our Earth hums a quiet, rhythmic tune—a subtle vibration pulsing every 26 seconds. It’s not something youll feel beneath your feet on a morning stroll, but for scientists armed with sensitive seismometers, this phenomenon—often called the Earth’s “heartbeat”—has been a source of fascination and debate for over half a century.
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At 17, Misbah Ashraf was selling t-shirts to his college peers; by 18, he’d waved goodbye to university to chase his entrepreneurial ambitions – a gambit that, when accompanied by a little hustle and heart, produced a fintech empire valued at $300 million.
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Amsterdam’s canals will be alive with more than just springtime charm from May 27-30, 2025. The OpenSIPS Summit 2025 is set to turn this city into the epicentre of open-source telecoms, drawing the sharpest minds in Voice over IP (VoIP) and Real-Time Communications (RTC).
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Meta Platforms has introduced two new iterations of its large language model (LLM), Llama 4 Scout and Llama 4 Maverick, released on April 5, 2025. These models represent a significant development in multimodal AI systems, capable of processing and translating diverse data formats, including text, video, images, and audio.
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When Elon Musk shelled out $44 billion to snag X—back when it was still Twitter—in October 2022, the world saw it as a billionaire’s vanity project gone wild. Critics scoffed, advertisers bolted, and the headlines screamed chaos.
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Imagine being 18, a freshman at Harvard University, and already turning down job offers from some of the biggest names in tech. That was Bill Gates in 1973, a young man with a knack for coding and a resume that made industry giants like Honeywell and General Electric sit up and take notice.
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Imagine a world where the agonising wait for an organ transplant is a distant memory, where drugs are tested on human-like systems without harming a single animal, and where your doctor can whip up a bespoke kidney cloned from your own cells.
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Until…like…a moment ago, creating a cutting-edge large language model (LLM) was the sort of thing that required a Silicon Valley-sized budget, a warehouse full of GPUs, and a team of brainiacs who probably hadn’t seen sunlight in months.
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