In a rapidly evolving digital landscape, machine learning is at the forefront of computational advancements, revolutionizing industries from healthcare to finan ...

New approach flips the script on enterprise AI adoption by using input data you already have for fine-tuning instead of needing labelled data.

Concerns about AI's energy use have a lot of people looking into ways to cut down on its power requirements. Many of these focus on hardware and software approaches that are pretty straightforward ...

Under this paradigm, I modified a supervised learning model and implemented training at test-time, which will be robust to changes in distributions of data. To do this, I implemented a self-supervised ...

The National Institute of Standards and Technology’s latest guidance, on how to secure artificial intelligence (AI) ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

Compared to DeepSeek R1, Llama-3.1-Nemotron-Ultra-253B shows competitive results despite having less than half the parameters.