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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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Recent Posts

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

Popular Posts

Virtual Personas for Language Models via an Anthology of Backstories – The Berkeley Artificial Intelligence Research Blog
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Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere” | MIT News
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Intel Labs Explores Low-Rank Adapters and Neural Architecture Search for LLM Compression
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Inside the World Robotics Conference: China’s Giant Leap Into the Age of Humanoids
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Open Collective Releases Magnum/v4 Series Models From 9B to 123B Parameters
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TECH

ByteDance Research Introduces 1.58-bit FLUX: A New AI Approach that Gets 99.5% of the Transformer Parameters Quantized to 1.58 bits
by Techaiapp
MIT Learn offers “a whole new front door to the Institute” | MIT News
by Techaiapp
Improving health, one machine learning system at a time | MIT News
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Eco-driving measures could significantly reduce vehicle emissions | MIT News
by Techaiapp
AI in Social Media Marketing: Detailed 2024 Guide
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Our most cost-effective AI model yet
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Collaborating to advance research and innovation on essential chips for AI | MIT News
by Techaiapp
Model Context Protocol Explained in 3 Levels of Difficulty
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