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‘For the first time’: Cube-shaped skull found in Mexico reveals shocking ancient cultural practice

Archaeologists in Mexico unearthed a unique cube-shaped skull. This discovery sheds light on ancient cranial deformation practices. The skull belonged to a man who lived over a thousand years ago. This ancient tradition involved reshaping a child’s skull using boards and bandages. The findings suggest possible cultural links across ancient Mesoamerican regions. Read more about

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Meet Subhasish Mitra and Tathagata Srimani: Indian-origin professors build America’s first monolithic 3D AI chip

Indian-origin professors have pioneered America’s first monolithic 3D AI chip, fabricated in a US foundry. This breakthrough, developed by a multi-institutional team, significantly boosts AI performance and energy efficiency by stacking memory and processing units vertically. The innovation tackles the ‘memory wall’ bottleneck, paving the way for faster, more powerful AI systems and strengthening domestic

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“In 6 Months, Everything Changes”: A Microsoft Executive Describes What Artificial Intelligence Will Really Look Like in 6 Years – 3DVF

“In 6 Months, Everything Changes”: A Microsoft Executive Describes What Artificial Intelligence Will Really Look Like in 6 Years  3DVFTech industry enters a hyper-velocity AI moment, unlocking new opportunities for 2026  EYStanford AI Experts Predict What Will Happen in 2026  Stanford HAISix (or seven) predictions for AI 2026 from a Generative AI realist  Marcus on AIForget Chatbots. This Is

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Rotary Position Embeddings for Long Context Length

This article is divided into two parts; they are: • Simple RoPE • RoPE for Long Context Length Compared to the sinusoidal position embeddings in the original Transformer paper, RoPE mutates the input tensor using a rotation matrix: $$ begin{aligned} X_{n,i} &= X_{n,i} cos(ntheta_i) – X_{n,frac{d}{2}+i} sin(ntheta_i) \ X_{n,frac{d}{2}+i} &= X_{n,i} sin(ntheta_i) + X_{n,frac{d}{2}+i} cos(ntheta_i)

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