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.
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. […]
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 […]
Fifty years ago this month, IBM researcher and computing pioneer Edgar Frank Codd published the seminal paper “A Relational Model of Data for Large Shared Data Banks,” which became the foundation of Structured Query Language (SQL), a language originally built to manage structured data with relational properties. Today SQL is one of the world’s most […]
We are excited to welcome more than 70 IBM Quantum summer interns, and to also announce that applications are now open for our Qiskit Global Summer School to the rest of the world.
In newly published research, scientists integrate neural network techniques on quantum computing - combining the advantages of the two approaches - for more-accurate chemistry simulations.
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.
At VLSI 2020, IBM Research is spotlighting key developments for hybrid cloud infrastructure and AI, marked by improvements in performance, energy efficiency, area scaling, and new workloads.
ACM SIGMOD/PODS 2020 like many other events impacted by COVID-19 pandemic will be taking place virtually from June 14 through June 19. The focus of work at SIGMOD 2020 ranges from adding graph querying to relational databases, to natural language interfaces to data, to operationalizing data for new AI workloads. Results to be presented includes work done at our IBM Research-Almaden and IBM Research-India labs, as well as by our summer interns from universities and our partners in other IBM units.
Like so many events impacted the COVID-19 pandemic, the annual conference on Computer Vision and Pattern Recognition (CVPR 2020), has gone virtual. It’s an interesting time for all of us as we find new ways of working and opportunities to apply our research to help our communities.
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 […]
The field of Natural Language Processing (NLP) has made large strides over the last decade. In fact, NLP is so common in today’s AI applications that whether consumers are communicating with a virtual assistant, asking for travel directions or searching for weather predictions, chances are they’re interacting with some form of NLP. This technology, however, […]