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 […]
Joint research by our group at IBM Research Europe in Zurich and collaborators at Technion, Israel, has led to a new method for separation of particles and molecules from small volume samples. The technique exploits differences in diffusivity – a molecular property which correlates well with size. We are currently adapting the method for rapid […]
In a new study, IBM and CHDI researchers studied the relationship between the pace of subtle cognitive decline in patients before full-fledged symptoms and their brain activity, as shown by a functional MRI. The results demonstrate that measuring the potential progression of HD could eventually be done from a single brain scan, acquired in one visit.
In the paper “Integrated gallium phosphide nonlinear photonics”, recently published in the peer-reviewed journal Nature Photonics, we report on the development of high-performance photonic devices made of the crystalline semiconductor gallium phosphide. This work represents a breakthrough in the manipulation of light with semiconductor materials integrated on a chip. It opens the door to a […]
If we can protect videos, audio and photos with digital watermarking, why not AI models? This is the question my colleagues and I asked ourselves as we looked to develop a technique to assure developers that their hard work in building AI, such as deep learning models, can be protected. You may be thinking, “Protected […]
IBM scientists developed an artificial synaptic architecture, a significant step towards large-scale and energy efficient neuromorphic computing technology.
Today, much of the knowledge we have in biology and medicine is derived from the ability to detect analytes from complex biological samples, such as blood and urine. This knowledge, in the form of data, is vital for patient diagnostics. For more than a decade, IBM scientists have taken their years of experience from the […]
Computational Biologists Find Inspiration for Machine Learning Cell Cycle Sorting Method in an Unlikely Place
The lifespan of cells in the human body varies greatly, from as short as a few days, such as those in our stomach lining, to the cells in our bones, which live for 25-30 years. And for each healthy cell, no matter how long it lives, there is a tightly coordinated series of events that […]
Together with EPFL scientists, our IBM Research team has developed a scheme for training big data sets quickly. It can process a 30 Gigabyte training dataset in less than one minute using a single graphics processing unit (GPU) — a 10× speedup over existing methods for limited memory training. The results, which efficiently utilize the […]
Nanotechnology is a term which applied to a variety of fields from clothing and automotive paints to sporting equipment and electronics. In the end it’s all referring to a size, the nanometer (nm), and humankind’s ability to understand, control and manipulate the unique phenomena which occur at this dimension. For perspective, a sheet of paper […]