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KIMLUD is a technology and engineering publication covering developments in artificial intelligence, robotics, automation, semiconductors, cybersecurity and major infrastructure projects.

Our goal is to make complex technological developments easier to understand through clear reporting, technical explanations and informed analysis.

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Best practices for data enrichment
by Techaiapp
Salesforce AI Introduces ReGenesis: A Novel AI Approach to Improving Large Language Model Reasoning Capabilities
by Techaiapp
The pursuit of AI education—past, present, and future
by Techaiapp
Meta AI Releases Meta Spirit LM: An Open Source Multimodal Language Model Mixing Text and Speech
by Techaiapp
Stopping malaria in its tracks
by Techaiapp
Graph-Constrained Reasoning (GCR): A Novel AI Framework that Bridges Structured Knowledge in Knowledge Graphs with Unstructured Reasoning in LLMs
by Techaiapp
Measuring perception in AI models
by Techaiapp
TREAT: A Deep Learning Framework that Achieves High-Precision Modeling for a Wide Range of Dynamical Systems by Injecting Time-Reversal Symmetry as an Inductive Bias
by Techaiapp

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Repurposing Protein Folding Models for Generation with Latent Diffusion – The Berkeley Artificial Intelligence Research Blog
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NVIDIA AI Just Released the Largest Open-Source Speech AI Dataset and State-of-the-Art Models for European Languages
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Unraveling Multimodal Dynamics: Insights into Cross-Modal Information Flow in Large Language Models
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MIT in the media: 2025 in review | MIT News
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Quantization Space Utilization Rate (QSUR): A Novel Post-Training Quantization Method Designed to Enhance the Efficiency of Large Language Models (LLMs)
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TECH

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Robots Take Over? You Won’t Believe WAIC 2024’s Cutting-Edge AI Robots!
by AubreyNN
Researchers from Princeton University Introduce Metadata Conditioning then Cooldown (MeCo) to Simplify and Optimize Language Model Pre-training
by Techaiapp
ByteDance Releases UI-TARS-1.5: An Open-Source Multimodal AI Agent Built upon a Powerful Vision-Language Model
by Techaiapp
This AI Research from Cohere for AI Compares Merging vs Data Mixing as a Recipe for Building High-Performant Aligned LLMs
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Tools, Cases & Future Trends
by Techaiapp
This AI Paper from Meta AI Unveils Dualformer: Controllable Fast and Slow Thinking with Randomized Reasoning Traces, Revolutionizing AI Decision-Making
by Techaiapp
Photonic processor could enable ultrafast AI computations with extreme energy efficiency | MIT News
by Techaiapp

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