AI

IBM Research AI: Advancing AI for industry and society

AI Could Help Enable Accurate Remote Monitoring of Parkinson’s Patients

In a paper recently published in Nature Scientific Reports, IBM Research and scientists from several other medical institutions developed a new way to estimate the severity of a person’s Parkinson’s disease (PD) symptoms by remotely measuring and analyzing physical activity as motor impairment increased. Using data captured by wrist-worn accelerometers, we created statistical representations of […]

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Image Captioning as an Assistive Technology

IBM Research's Science for Social Good team recently participated in the 2020 VizWiz Grand Challenge to design and improve systems that make the world more accessible for the blind.

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IBM & MIT Roundtable: Solving AI’s Big Challenges Requires a Hybrid Approach

At IBM Research’s recent “The Path to More Flexible AI” virtual roundtable, a panel of MIT and IBM experts discussed some of the biggest obstacles they face in developing artificial intelligence that can perform optimally in real-world situations.

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Bringing IBM NLP capabilities to the CORD-19 Dataset

To assist in the fight against the COVID-19 pandemic, prominent research institutes led by Allen Institute for AI (AI2) released earlier this year the COVID-19 Open Research Dataset (CORD-19). Comprised of scientific articles related to COVID-19, Sars-Cov-2, and related coronaviruses, the dataset (which at the time of writing this contains more than 75,000 full text scientific papers) is […]

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IBM Research AI Advances Speaker Diarization in Real Use Cases

In a recent publication, IBM researchers describe a novel speaker diarization algorithm that can consider not only speaker information, but also identifying clues about individual recording environments that help differentiate between the speakers, resulting in improved diarization accuracy for our in-house, real test cases as well as public benchmark data.

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Bio-Inspired Hashing for Unsupervised Similarity Search

In a new paper, researchers use the inspiration of the fruit fly olfactory network and a biologically plausible method for representation learning to propose a data-driven hashing algorithm for approximate similarity search.

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IBM Research at ICML 2020

At ICML 2020, IBM Research wll present several demos, talks, and papers related to trusted AI, including the topics of fairness, robustness and explainability.

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IBM FactSheets Further Advances Trust in AI

IBM Research released a new, informative website that shares the latest on AI FactSheets, designed to foster increased levels of trust in AI by increasing transparency and enabling governance. 

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IBM Research at ACL 2020

The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), the premiere annual conference on AI and language, takes place July 5-10. As is the case with most events currently, ACL will be virtual this year due to COVID-19. At IBM Research AI, we’re excited to share with you — wherever you might be in the world — all the work […]

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Using Generative AI to Accelerate Drug Discovery

Novel drug design is difficult, costly and time-consuming. On average, it takes $3 billion and 12 to 14 years for a new drug to reach market. One third of this overall cost and time is attributed to the drug discovery phase requiring the synthetization of thousands of molecules to develop a single pre-clinical lead candidate. […]

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IBM Systems Research: AI and Hybrid Cloud Can Advance Only as Far as Hardware Can Take Them

IBM Research plays a crucial role in advancing the foundational technology needed to support the artificial intelligence (AI) and hybrid cloud technologies driving IBM’s strategic business goals.

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