Networks programmed straight into laptop chip {hardware} can establish photos sooner, and use a lot much less vitality, than the normal neural networks that underpin most trendy AI techniques. That’s in response to work introduced at a number one machine studying convention in Vancouver final week.
Neural networks, from GPT-4 to Steady 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 eat monumental volumes of vitality.
A part of the difficulty is that perceptrons are simply software program abstractions—operating a perceptron community on a GPU requires translating that community into the language of {hardware}, which takes time and vitality. Constructing a community straight from {hardware} elements does away with loads of these prices. And in the future, they might even be constructed straight into chips utilized in smartphones and different gadgets. Learn the total story.
—Grace Huckins
Medication like Ozempic now make up 5% of prescriptions within the US
What’s new? US medical doctors write billions of prescriptions annually. Throughout 2024, although, one kind of drug stood out—“surprise medicine” often called GLP-1 agonists. As of September, considered one of each 20 prescriptions written for adults was for considered one of these medicine, in response to the well being knowledge firm Truveta.
The large image: In keeping with the information, individuals who get prescriptions for these medicine are youthful, whiter, and extra more likely to be feminine. The truth is, girls are twice as possible as males to get a prescription. But not everybody who’s prescribed the medicine finally ends up taking them. The truth is, half the brand new prescriptions for weight problems are going unfilled. Learn the total story.
