A team formed by IBM Research scientist Dr. Leo Gross, University Regensburg professor Dr. Jascha Repp, and University Santiago de Compostela assistant professor Dr. Diego Peña Gil has received a European Research Center (ERC) Synergy Grant for their project “Single Molecular Devices by Atom Manipulation” (MolDAM).
One year ago, IBM Research published the first major release of the Adversarial Robustness Toolbox (ART) v1.0, an open-source Python library for machine learning (ML) security. ART v1.0 marked a milestone in AI Security by extending unified support of adversarial ML beyond deep learning towards conventional ML models and towards a large variety of data types […]
Hydrogen is the simplest element in the universe, yet its behavior in extreme conditions such as very high pressure and temperature is still far from being well understood. Dense hydrogen constitutes the bulk of the content of giant gas planets and brown dwarf stars and it’s a material of interest for both fundamental physics and […]
For most of us, chemistry is a distant childhood memory that takes us back to our school days where we got to experiment with chemical reactions. I mean who didn’t love the school science fair? It was the one occasion we were allowed to make a mess in the kitchen by mixing baking soda, vinegar, […]
What if I told you that it’s possible to teleport memory from one server and attach it to another server, without entering the datacenter building? You would probably: a) think you’re dreaming of a Star Trek episode; b) or better yet, think this is really cool and you could use it to improve the efficiency […]
For decades, society has benefitted from modern cryptography to protect our sensitive data during transmission and at rest. It seems daily that we see news about data breaches, privacy lapses, and inadvertent disclosures of information. In a real sense data privacy has gone from boardroom discussion a decade ago, to dinner table discussion. For IBM […]
Work by our group at IBM Research Europe in Zurich has led to a new method for the rapid implementation of microfluidic operations. By tailoring the potential landscape inside a flow cell, we form so-called “virtual channels” on demand to perform high-precision guiding and transport, splitting, merging and mixing of microfluidic flows. This allows to […]
IBM published a new release of its IBM Differential Privacy Library, which boasts a suite of tools for machine learning and data analytics tasks, all with built-in privacy guarantees. It's not unlike the the differential privacy the US Census will use to keep the responses of its citizens confidential when the data is made available.
It is well known that the human body is mostly composed of water: The brain, for example, is 75 percent water and even bones are not “dry” – containing as much as one third water. All of this water maintains the shape and structure of biological cells and is involved in numerous biochemical processes. It […]
Today, as reported in Nature Machine Intelligence, my colleagues and I have demonstrated a novel approach to deep learning that incorporates biologically-inspired neural dynamics and enables in-memory acceleration, bringing it closer to the way in which the human brain works. The results point towards the broad adoption of more biologically-realistic deep learning for applications in […]
Often, when I begin explaining fully homomorphic encryption (FHE) to someone for the first time I start by saying that I’ve been working in the field for nearly a decade and yet, I still have to pause to spell it right. So, let’s call it FHE. Half-kidding aside, FHE really sounds like magic when you […]
Scientists around the world are inspired by the brain and strive to mimic its abilities in the development of technology. Our research team at IBM Research Europe in Zurich shares this fascination and took inspiration from the cerebral attributes of neuronal circuits like hyperdimensionality to create a novel in-memory hyperdimensional computing system. The most […]