A neural network is a machine learning model originally inspired by how the human brain works (Courtesy: Shutterstock/Jackie Niam) Precision measurements of theoretical parameters are a core element ...

A new technical paper titled “Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review” was published in “Proceedings of the IEEE” by researchers at University ...

At the beginning of 2021, I posted a piece on this blog asking if any readers wanted to develop their critical thinking as a kind of New Year’s resolution. In light of the positive feedback I received ...

A lot of focus around reducing hallucinations has been applied during the training of a large language model (LLM), or when it is learning from data. But to mitigate hallucinations, GSK instead ...