NeuNetS uses AI to automatically synthesize deep neural networks faster and more easily than ever before, scaling up the deployment and adoption of AI.
The Algebraic Gradient-based Solver (AGS), a novel solver for approximate marginal MAP inference, shows how ideas from planning can be used for inference.
The promise of the Internet of Things: This integration should ideally map to a decentralized hardware and software platform.
A new release of the Adversarial Robustness Toolbox provides a method for defending against poisoning and "backdoor" attacks in machine learning models.
Quantum computing promises to be faster than classical computing in some, but not all computational problems.
IBM scientists developed a natural language processing tool for collaborative decision-making. It augments the decision process using a virtual facilitator.
IBM Research is collaborating with industry and academic partners to investigate how IoT, AI and cloud technologies can advance home-based integrated care for persons with multiple chronic diseases.