Intel Lab’s Loihi 2 chip delivers outstanding performance & new features, including an open-source, community-driven neuromorphic computing framework.| Intel
HP today announced that researchers from HP Labs have proven the existence of what had previously been only theorized as the fourth fundamental circuit element in electrical engineering.| phys.org
What if machines could learn from experience, adapt to the unexpected, and operate on a fraction of the energy they consume today? Would that be true machine intelligence? No, we’re not talking about today’s AI existing algorithms. We’re talking about new computer chips built from-the-ground-up to physically mimic the human brain. In this article, we […]| Exoswan Insights
We study empirical scaling laws for language model performance on the cross-entropy loss. The loss scales as a power-law with model size, dataset size, and the amount of compute used for training, with some trends spanning more than seven orders of magnitude. Other architectural details such as network width or depth have minimal effects within a wide range. Simple equations govern the dependence of overfitting on model/dataset size and the dependence of training speed on model size. These re...| arXiv.org