Networks programmed instantly into pc chip {hardware} can determine photographs sooner, and use a lot much less power, than the standard neural networks that underpin most trendy AI methods. That’s based on work offered at a number one machine studying convention in Vancouver final week.
Neural networks, from GPT-4 to Secure Diffusion, are constructed by wiring collectively perceptrons, that are extremely simplified simulations of the neurons in our brains. In very massive numbers, perceptrons are highly effective, however in addition they eat monumental volumes of power.
A part of the difficulty is that perceptrons are simply software program abstractions—working a perceptron community on a GPU requires translating that community into the language of {hardware}, which takes time and power. Constructing a community instantly from {hardware} parts does away with a variety of these prices. And at some point, they may even be constructed instantly into chips utilized in smartphones and different gadgets. Learn the complete story.
—Grace Huckins
Medicine like Ozempic now make up 5% of prescriptions within the US
What’s new? US docs write billions of prescriptions every year. Throughout 2024, although, one sort of drug stood out—“surprise medicine” generally known as GLP-1 agonists. As of September, one in every of each 20 prescriptions written for adults was for one in every of these medicine, based on the well being knowledge firm Truveta.
The large image: In accordance with the info, individuals who get prescriptions for these medicine are youthful, whiter, and extra prone to be feminine. In actual fact, girls are twice as doubtless as males to get a prescription. But not everybody who’s prescribed the medicine finally ends up taking them. In actual fact, half the brand new prescriptions for weight problems are going unfilled. Learn the complete story.
