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Technical Guides

AI Infrastructure Engineering: Building Enterprise-Scale Machine Learning Systems...

NPU vs TPU: Understanding the Key Differences in AI Hardware Accelerators

NPU vs GPU: Understanding the Key Differences and Use Cases

RAG vs Fine-Tuning: Differences, Benefits, and Use Cases Explained

LLM Training: Mastering the Art of Language Model Development

Tensor Cores vs CUDA Cores: The Powerhouses of GPU Computing from Nvidia

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Latest Posts

A new AI language model that mimics the organization of the brain

EPFL researchers have developed the first AI model of language in the brain that captures both how neurons are arranged and how they function.

AI provides reliable answers with less computational overhead

ETH Zurich researchers have developed a method that makes AI responses increasingly reliable. Their algorithm specifically selects data relevant to the question. In addition, even AI models up to 40 times smaller achieve the same output performance as the best large AI models.

Training LLMs to self-detoxify their language

A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.

New method efficiently safeguards sensitive AI training data

The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.

A new way to bring personal items to mixed reality

“InteRecon” enables users to capture items in a mobile app and reconstruct their interactive features in mixed reality. The tool could assist in education, medical environments, museums, and more.

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Xsens Goes Cage Fighting: Motion Capture for Black State

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Like having a personal healthcare coach in your pocket

New apps for cancer patients, cannabis users, others make use of algorithms that continually customize support

AI Infrastructure Engineering: Building Enterprise-Scale Machine Learning Systems

This article covers advanced architectural patterns, performance optimisation strategies, and critical operational considerations for building production-grade AI infrastructure systems!

Machine learning could help predict adherence to HIV treatment in adolescents

Claire Najjuuko, Chenyang Lu, Fred Ssewamala use AI to target interventions to improve compliance

Readying robots for new tasks

The ETH spin-off Flink Robotics wants to revolutionize the handling of packages. Its founders Moritz Geilinger and Simon Huber have developed software that allows robots to work together and quickly take on new tasks.

AI technique boosts climate change defenses

Researchers from Princeton and Rutgers University have used reinforcement learning, a method frequently deployed to train artificial intelligence, to show how flexible responses can substantially increase the cost-effectiveness of steps to defend cities like New York against climate change.