Networks programmed straight into laptop chip {hardware} can establish photos quicker, and use a lot much less power, than the standard neural networks that underpin most trendy AI methods. That’s in accordance with 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 giant numbers, perceptrons are highly effective, however additionally they devour huge 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 straight from {hardware} parts does away with lots of these prices. And someday, they might even be constructed straight into chips utilized in smartphones and different gadgets. Learn the complete story.
—Grace Huckins
Medication 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 kind of drug stood out—“surprise medication” referred to as GLP-1 agonists. As of September, one in every of each 20 prescriptions written for adults was for one in every of these medication, in accordance with the well being information firm Truveta.
The massive image: In line with the info, individuals who get prescriptions for these medication are youthful, whiter, and extra prone to be feminine. In actual fact, ladies are twice as doubtless as males to get a prescription. But not everybody who’s prescribed the medication finally ends up taking them. In actual fact, half the brand new prescriptions for weight problems are going unfilled. Learn the complete story.