New techniques efficiently accelerate sparse tensors for massive AI models – MIT News
New techniques efficiently accelerate sparse tensors for massive AI models MIT News
machine learning
The brain may learn about the world the same way some computational models do
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
Accelerating AI tasks while preserving data security
The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.
New techniques efficiently accelerate sparse tensors for massive AI models
Complimentary approaches — “HighLight” and “Tailors and Swiftiles” — could boost the performance of demanding machine-learning tasks.
The brain may learn about the world the same way some computational models do – MIT News
The brain may learn about the world the same way some computational models do MIT News
Factories are heading for a ‘dark’ future — and it’s not what you think – CNBC
Factories are heading for a ‘dark’ future — and it’s not what you think CNBC
AI and Machine learning set to boost Industry’s automation push … – The Manufacturer
AI and Machine learning set to boost Industry’s automation push … The Manufacturer
Advancements and Challenges in the Application of Artificial … – Cureus
Advancements and Challenges in the Application of Artificial … Cureus
Machine learning sheds light on mental health challenges faced by … – News-Medical.Net
Machine learning sheds light on mental health challenges faced by … News-Medical.Net
Research based on Few-Shot Prompting part6(Machine Learning) – Medium
Research based on Few-Shot Prompting part6(Machine Learning) Medium