Towards AI

JANUARY 29, 2025

Originally published on Towards AI. Now, lets meet our first knight: Scaled-Up Deep Learning the tech equivalent of supersize me. The scaling hypothesis suggests that by simply increasing three factors model size, dataset size, and computational power you can unlock emergent abilities. Author(s): Mohit Sewak, Ph.D.

Deep Learning 86

Deep Learning Deep Learning AI AI 86

NYU Center for Data Science

FEBRUARY 8, 2024

As part of a symbiotic research agenda emblematic of CDS wherein human and machine intelligence is explored in tandem, a recent paper published in Cognition by CDS PhD student Yanli Zhou investigates how both humans and AI models achieve visual compositionality.

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AI AI Data Science Artificial Intelligence 98

Mlearning.ai

JULY 20, 2023

How taking inspiration from the design of our brains can lead to AI with better performance, for cheaper. Sure, it might work for biological systems, but what do we hope to attain by implementing a similar idea for our ANNs? Put plainly, every model/architecture decision imposes a certain inductive bias onto our system.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Towards AI

FEBRUARY 6, 2025

Author(s): Towards AI Editorial Team Originally published on Towards AI. to Artificial Super Intelligence and black box deep learning models. Whats AI Weekly The vast majority of what we call Agents are simply an API call to a language model. Our must-read articles 1. Good morning, AI enthusiasts! Enjoy the read!

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Hacker News

JUNE 29, 2025

All results are published openly. Do I need to submit my email to see the "openly published results"? Frankly, the biggest obstacle for desktop is not the app itself, but distribution and figuring out a pricing model. reply NotAnOtter 8 hours ago | parent | prev | next [–] What's your long term revenue model?

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