Data Intelligence Tokyo #21: Fighting Misinformation in the Age of AI
Event Overview On Tuesday, Dec 9, I attended the 21st Data Intelligence Tokyo meetup, organized by Quollio. This edition was held at a new location, WeWork KDX...
Event Overview On Tuesday, Dec 9, I attended the 21st Data Intelligence Tokyo meetup, organized by Quollio. This edition was held at a new location, WeWork KDX...
Large language models (LLMs) have achieved remarkable progress in automatic code generation, yet their ability to produce high-performance code remains limited-...
The rise of AI agents is transforming how software can be built. The promise of agents is that developers might write code quicker, delegate multiple tasks to d...
UPS Could Deliver Your Amazon Package on a Cargo E‑Bike In most cities, for most packages, this would actually be faster. No parking. No traffic. Straight to y...
Assistant Professor Yunha Hwang utilizes microbial genomes to examine the language of biology. Her appointment reflects MIT’s commitment to exploring the inters...
Large language models (LLMs) are increasingly used to evolve programs and multi-agent systems, yet most existing approaches rely on overwrite-based mutations th...
Large language models (LLMs) are increasingly used to evolve programs and multi-agent systems, yet most existing approaches rely on overwrite-based mutations th...
Instead of starting with margins and geometry, this article builds the Support Vector Machine step by step from familiar models. By changing the loss function a...
Video diffusion models have revolutionized generative video synthesis, but they are imprecise, slow, and can be opaque during generation -- keeping users in the...
Recent progress in image-to-3D has opened up immense possibilities for design, AR/VR, and robotics. However, to use AI-generated 3D assets in real applications,...
Textual Inversion (TI) is an efficient approach to text-to-image personalization but often fails on complex prompts. We trace these failures to embedding norm i...
Solving computer-aided synthesis planning is essential for enabling fully automated, robot-assisted synthesis workflows and improving the efficiency of drug dis...