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‘Velcro’ DNA origami helps build nanorobotic Meccano

Researchers at the University of Sydney Nano Institute have made a significant advance in the field of molecular robotics by developing custom-designed and programmable nanostructures using DNA origami.

This innovative approach has potential across a range of applications, from targeted drug delivery systems to responsive materials and energy-efficient optical signal processing. The method uses ‘DNA origami’, so-called as it uses the natural folding power of DNA, the building blocks of human life, to create new and useful biological structures.

As a proof-of-concept, the researchers made more than 50 nanoscale objects, including a ‘nano-dinosaur’, a ‘dancing robot’ and a mini-Australia that is 150 nanometres wide, a thousand times narrower than a human hair.

Synthetic Data Generation with Language Models: A Practical Guide

Originally published on Towards AI.

In the evolving landscape of artificial intelligence, data remains the fuel that powers innovation. But what happens when acquiring real-world data becomes challenging, expensive, or even impossible?

Enter synthetic data generation — a groundbreaking technique that leverages language models to create high-quality, realistic datasets. Consider training a language model on medical records without breaching privacy laws, or developing a customer interaction model without access to private conversation logs, or designing autonomous driving systems where collecting data on rare edge cases is nearly impossible. Synthetic data bridges gaps in data availability while maintaining the realism needed for effective AI training.

Ilya Sutskever “Superintelligence is Self Aware, Unpredictable and Highly Agentic” | NeurIPS 2024

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Southeast Asian nations battle to become the region’s top AI hub

Southeast Asia’s emerging economies are vying to become a top AI hub — a race that has them both coming together and, quietly, battling among themselves.

The Association of Southeast Asian Nations (ASEAN), made up of 10 countries with a combined population of 672 million people, already has some advantages when compared to Europe or the U.S.

With over 200 million people aged 15 to 34, the region’s youthful and largely tech savvy populations make the region adaptable to future technological advances. That, combined with government support for accelerating AI in the region, could deliver substantial rewards for local workers.

Inside OpenAI’s MLE-Bench: A New Benchmark for Evaluating Machine Learning Engineering Capabilities of AI Agents

Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using IdeogramI recently started an AI-focused educational newsletter, that already has over 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers, and concepts. Please give it a try by subscribing below:

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