Networks programmed straight into pc chip {hardware} can determine photographs quicker, and use a lot much less vitality, than the standard neural networks that underpin most trendy AI techniques. That’s based on 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 massive numbers, perceptrons are highly effective, however in addition 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 a variety of these prices. And in the future, they might even be constructed straight into chips utilized in smartphones and different units. Learn the complete 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 sort of drug stood out—“surprise medication” often known as GLP-1 agonists. As of September, one among each 20 prescriptions written for adults was for one among these medication, based on the well being knowledge firm Truveta.
The large image: In line with the info, individuals who get prescriptions for these medication are youthful, whiter, and extra more likely to be feminine. In reality, girls are twice as seemingly as males to get a prescription. But not everybody who’s prescribed the medication finally ends up taking them. In reality, half the brand new prescriptions for weight problems are going unfilled. Learn the complete story.