How did we get from the Palm Pilots of the 90s to the ultra-powerful smart phones of today? In large part, because of scaling, where integrated circuits are made with smaller feature sizes fitting more and more circuit elements in the same area of silicon at each technology generation. This sets our expectations that in […]
Performing the mental gymnastics of making the phoenetic distinction between words and phrases such as “I’m hear” to ‘I’m here’ or “I can’t so but tons” to “I can’t sew buttons,” is familiar to anyone who has encountered autocorrected text messages, punny social media posts and the like. Although at first glance it may seem […]
Our team at IBM Research developed a new technique to control the magnetism of a single copper atom, a technology that could one day allow individual atomic nuclei to store and process information. In a paper published today in the journal Nature Nanotechnology, our team demonstrated that we can control the magnetism of a single […]
Our team at IBM Research − Almaden in Silicon Valley has detected the magnetism of a single atom’s nucleus, a feat that opens the door to using the nucleus as a way to sense and control magnetism at the atomic scale. This breakthrough, recently published in the journal Science, was achieved by measuring the magnetic […]
IBM researchers propose guidelines for novel analog memory devices to enable fast, energy-efficient and accurate AI hardware accelerators.
My team at IBM Research-Almaden has created a novel “human-in-the-loop” approach for AI dictionary expansion. Dictionaries and ontologies are foundational elements of systems that extract knowledge from unstructured text, such as natural language processing, information extraction, and many other AI applications. Keeping dictionaries up to date as new content arrives is a crucial operation. We […]
At IBM Research we understand that humans and AI can accomplish more together, and our team at IBM Research-Almaden is focused on creating ways for IBM’s consultants to work smarter with new AI technology assets. This approach is known as human-in-the-loop or expert-in-the-loop. Working closely with AI technologies on time-intensive tasks can save experts up […]
Medical imaging creates tremendous amounts of data: many emergency room radiologists must examine as many as 200 cases each day, and some medical studies contain up to 3,000 images. Each patient’s image collection can contain 250GB of data, ultimately creating collections across organizations that are petabytes in size. Within IBM Research, we see potential in […]
A new release of the Adversarial Robustness Toolbox provides a method for defending against poisoning and "backdoor" attacks in machine learning models.
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 […]
In 2016, I had a bacterial infection that I acquired after a routine knee surgery. Fortunately, my immune system reacted favorably to antibiotics, but had the bacteria been a “superbug,” resistant to medication, my story might have had a different ending. This incident inspired me to focus my work on discovering a new solution. With […]
Knowledge workers spend an average of 28 hours in a typical work week on email and messaging, conversations and collaboration. Much of these communications are centered around getting organized and getting work done — define actions or tasks, make requests and commitments of each other, and exchange updates on the status of the work in progress. However, information overload remains a […]