IBM researchers, in collaboration with NYU and MIT, propose a novel alternative to backprop at ICML 2019 that offers competitive performance.
Understanding of the macroscopic behavior of deep learning neural networks.
At the 2019 VLSI, IBM researchers will present three papers that provide novel solutions to AI computing based on analog devices.
Scientists in IBM Research-Brazil developed a method based on GANs and hand sketches to generate realistic synthetic seismic images.
At the 36th International Conference on Machine Learning (ICML 2019), June 10–15 in Long Beach, CA, IBM Research AI will present recent technical advances in machine learning for AI and data science. We’ve led the exploration and development of machine learning technologies for decades, and now we’re progressing the AI field through our portfolio of […]
IBM sets new performance records for automatic captioning of broadcast news audio, with error rates of 6.5% and 5.9% on two broadcast news benchmarks.
IBM researchers introduce accumulation bit-width scaling, addressing a critical need in ultra-low-precision hardware for training deep neural networks.
A new approach to defend against adversarial attacks in non-image tasks, such as audio input and automatic speech recognition.
Meta-Experience Replay (MER) integrates meta-learning and experience replay to achieve state-of-the-art performance on continual learning benchmarks.