IITM Pravartak, in partnership with TimesPro, has announced a new 7-month online programme in applied AI and deep learning, aimed at building industry-ready talent ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

Federated learning of deep neural networks has emerged as an evolving paradigm for distributed machine learning, gaining widespread attention due to its ability to update parameters without collecting ...

Through performance evaluation, our proposed deep reinforcement learning scheme demonstrated improved performance in terms of latency and failure probability of MU-MIMO BFT compared to existing ...

Recent advances on deep learning models come at the price of formidable training cost. The increasing model size is one of the root cause, but another less-emphasized fact is that data scale is ...

With the growing model size of deep neural networks (DNN), deep learning training is increasingly relying on handcrafted search spaces to find efficient parallelization execution plans. However, our ...