It’s no secret that machine-learning models tuned and tweaked to near-perfect performance in the lab often fail in real settings. This is typically put down to a mismatch between the data the AI was trained and tested on and the data it encounters in the ... (more…)
Read more »
Artificial intelligence is beginning to allow many employers to automate functions long performed by human workers. (more…)
Read more »
In light of the advancements regarding the integration of sentient AI agents into decentralized networks such as Bittensor, it has become evident that our current license frameworks may no longer b... (more…)
Read more »
MADGRAD Optimization Method. Contribute to facebookresearch/madgrad development by creating an account on GitHub. (more…)
Read more »
Deep-learning-based methods for different applications have been shown
vulnerable to adversarial examples. These examples make deployment of such
models in safety-critical tasks questionable. Use of deep neural networks as
inverse problem solvers has gene... (more…)
Read more »