For half a century, it has been known that thermo sensitive regions of the rostral brain stem
are important in thermoregulation (61). Figure 1 indicates that a variety of thermoregulatory …

Hyperoxia is a popular model of oxidative stress. However, hyperoxic gas mixtures are
routinely used for chemical denervation of peripheral O 2 receptors in in vivo studies of …

Here we present deep-learning techniques for healthcare, centering our discussion on
deep learning in computer vision, natural language processing, reinforcement learning, and …

Large language models have been shown to achieve remarkable performance across a variety
of natural language tasks using few-shot learning, which drastically reduces the number …

Neural Machine Translation (NMT) is an end-to-end learning approach for automated
translation, with the potential to overcome many of the weaknesses of conventional phrase-based …

Many architects believe that major improvements in cost-energy-performance must now
come from domain-specific hardware. This paper evaluates a custom ASIC---called a Tensor …

TensorFlow is an interface for expressing machine learning algorithms, and an implementation
for executing such algorithms. A computation expressed using TensorFlow can be …

TensorFlow is a machine learning system that operates at large scale and in heterogeneous
environments. Tensor-Flow uses dataflow graphs to represent computation, shared state, …

Finetuning language models on a collection of datasets phrased as instructions has been
shown to improve model performance and generalization to unseen tasks. In this paper we …

Scaling up language models has been shown to predictably improve performance and
sample efficiency on a wide range of downstream tasks. This paper instead discusses an …