IBM Research Editorial Staff

Corpus Conversion Service Makes PDF Content Discoverable

This week, my team from IBM Research will debut a massively scalable document ingestion system, the Corpus Conversion Service, at the prestigious ACM Conference on Knowledge Discovery and Data Mining (KDD 2018) in London. Our AI-based cloud system can ingest 100,000 PDF pages per day (even of scanned documents) on a single blade server with […]

Continue reading

We Have Winners! … of the IBM Qiskit Developer Challenge

To encourage more teachers and students to take advantage of the IBM Q Experience and the IBM Qiskit development platform, we announced in January a number of challenges and prizes to inspire people to take the quantum leap. And the winners are… Today, we’re happy to announce the winners of the second IBM Q Award: […]

Continue reading

IBM Launches Free AI Tool in the Cloud for Predicting Chemical Reactions

For more than 200 years, the synthesis of organic molecules has remained one of the most important tasks in organic chemistry. The work of chemists has scientific and commercial implications that range from the production of Aspirin to that of Nylon. Yet, little has been done to change age-old practices dramatically and allow a new […]

Continue reading

AI for Code Encourages Collaborative, Open Scientific Discovery

We have seen significant recent progress in pattern analysis and machine intelligence applied to images, audio and video signals, and natural language text, but not as much applied to another artifact produced by people: computer program source code. In a paper to be presented at the FEED Workshop at KDD 2018 (read more about the […]

Continue reading

FEED 2018: Applying Data Analytics to Earth and Environmental Science

The workshop Fragile Earth: Theory Guided Data Science to Enhance Scientific Discovery (FEED 2018) will take place August 20, as part of the Knowledge Discovery and Data mining conference (KDD 2018) in London. The FEED 2018 co-chairs and -organizers all welcome you to join us! FEED 2018 will bring together the research, industry, and policy […]

Continue reading

Advancing Knowledge Discovery at KDD 2018

The annual Association for Computing Machinery (ACM) Knowledge Discovery and Data mining conference (KDD 2018) takes place August 19–23, 2018, in London, UK. The interdisciplinary conference brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data with two tracks: Research Track and Applied Data Science Track. IBM […]

Continue reading

Understanding the Complexity of Quantum Circuit Compilation

What’s a quantum circuit? A quantum circuit can be a tricky thing. Quantum computing promises to be faster than classical computing in some, but not all computational problems. Whether quantum computers can be faster than classical computers depends on the nature of the problem being solved. When speedups are possible, the magnitude of the speedup […]

Continue reading

Exploring New Research to Combat Disease-Causing Viruses

According to the US Center for Disease Control, the number of worldwide cases of poliomyelitis has decreased from 350,000 in 1988 to 407 in 20131. While the decline has been steady, polio has still not been eradicated. To try and help solve the problem, biologists and mathematicians from IBM, UCSF, Stanford University, and the University […]

Continue reading

Understanding the Difficulty of Complex Question Answering

As part of the collection of IBM Research papers at ACL 2018, we were delighted to receive the Best Paper Award at the Machine Reading for Question Answering workshop for our paper A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset (by Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, […]

Continue reading

Teaching AI to Learn from Non-Experts

Today my IBM team and my colleagues at the UCSF Gartner lab reported in Nature Methods an innovative approach to generating datasets from non-experts and using them for training in machine learning. Our approach is designed to enable AI systems to learn just as well from non-experts as they do from expert-generated training data. We […]

Continue reading

Mining Web API Specifications

Online services like Facebook, Twitter, PayPal, LinkedIn, The Weather Company (an IBM business) and IBM Watson – despite their obvious differences – all share one characteristic: application programming interfaces (API). APIs make data and capabilities available to third-party applications. For application developers, web APIs offer tremendous opportunities to integrate vast amounts of data, like social […]

Continue reading

Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer

Online social media has become one of the most important ways to communicate and exchange ideas. Unfortunately, the discourse is often crippled by abusive language that can have damaging effects on social media users. For instance, a recent survey by YouGov.uk discovered that, among the information employers can find online about job candidates, aggressive or […]

Continue reading