New research combining the power of brain modeling, IBM’s AI, and the IBM Cloud sheds light on how brain cells interact in Huntington’s disease.
IBM scientists use crowdsourcing and AI techniques to explore what different types of conversational laughter can tell us.
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.
IBM researchers present recent work on advancing, trusting, and scaling learning at the annual International Conference on Learning Representations (ICLR).
IBM Research and New York University are using AI to analyze retina imaging data and help to assess the presence of glaucoma.