Open Source
IBM Quantum systems accelerate discoveries in science
IBM's quantum systems powered 46 non-IBM presentations in order to help discover new algorithms, simulate condensed matter and many-body systems, explore the frontiers of quantum mechanics and particle physics, and push the field of quantum information science forward overall.
Using iter8 and Kiali to evolve your cloud applications while gaining insights into their behavior
IBM Research has partnered with Red Hat to bring iter8 into Kiali. Iter8 lets developers automate the progressive rollout of new microservice versions. From Kiali, developers can launch these rollouts interactively, watch their progress while iter8 shifts user traffic to the best microservice version, gain real-time insights into how competing versions (two or more) perform, and uncover trends on service metrics across versions.
The Open Science Prize: Solve for SWAP gates and graph states
We're excited to announce the IBM Quantum Awards: Open Science Prize, an award totaling $100,000 for any person or team who can devise an open source solution to two important challenges at the forefront of quantum computing based on superconducting qubits: reducing gate errors, and measuring graph state fidelity.
AI Data Tracker Encourages Scientific Research into COVID-19 Non-Pharmaceutical Interventions
What impact do measures such as shelter-in-place, mask wearing, and social distancing have on the number of COVID-19 cases? How do the COVID-19 quarantine measures that have been implemented by North American countries compare to South American countries? These are just a few questions about the wide range of non-pharmaceutical interventions (NPIs) that have been applied by governments, globally.
IBM Federated Learning – machine learning where the data is
IBM Research recently announced the community edition of a framework for federated learning.
SysFlow: Scalable System Telemetry for Improved Security Analytics
No organization is safe against cybercrime. Recent studies have shown that these crimes will cost the world well over $5 trillion a year by 2024. Cyber attackers breach corporate networks using a myriad of techniques, with application vulnerabilities corresponding to 25% of all exploitable attack vectors. More disturbing is that these attacks can go unnoticed […]
Could AI Help People Change Their Behaviour?
An open-source AI algorithm to help people change their behaviour, based on an ontology developed by behavioural scientists at University College London.
IBM’s AI Experiments Hub Puts Cutting-Edge Technology in Your Hands
IBM Research launches new AI Experiments hub featuring prototypes of tools and resources that will unleash the power of AI.
Efficient Deep Learning Training on the Cloud with Small Files
Here I describe an approach to efficiently train deep learning models on machine learning cloud platforms (e.g., IBM Watson Machine Learning) when the training dataset consists of a large number of small files (e.g., JPEG format) and is stored in an object store like IBM Cloud Object Storage (COS). As an example, I train a […]
Probabilistic Programming with Pyro in WML
In a previous post we explained how to write a probabilistic model using Edward and run it on the IBM Watson Machine Learning (WML) platform. In this post, we discuss the same example written in Pyro, a deep probabilistic programming language built on top of PyTorch. Deep probabilistic programming languages (DPPLs) such as Edward and […]
Probabilistic Programming with Edward in WML
Edward is a deep probabilistic programming language (DPPL), that is, a language for specifying both deep neural networks and probabilistic models. DPPLs draw upon programming languages, Bayesian statistics, and deep learning to ease the development of powerful AI applications. Probabilistic languages let the user express a probabilistic model as a program with an intuitive formalism […]