internet of things
Moving beyond the self-reported scale: Objectively measuring chronic pain with AI
Together with Boston Scientific, we are presenting research that details the feasibility and progress towards our new pain measurement method at the 2021 North American Neuromodulation Society Annual Meeting.
Scalable Forecasts for IoT in the Cloud
This week at the International Conference on Data Mining, IBM Research-Ireland scientist Francesco Fusco demonstrated IBM Research Castor, a system for managing time series data and models at scale and on the cloud. Businesses of today run on forecasts. Whether a hunch of what we think is going to happen or the product of carefully […]
Sensemaker Series: IBM Researchers on Future Tech for Financial Services
The financial services industry faces mounting pressures to reduce costs, improve customer experience, compete with emerging players, and comply with new regulations. At the same time, IBM Research is driving innovations that will transform the financial services industries using technologies like AI, blockchain, quantum computing, IoT, cybersecurity, and cloud. These advances are surfacing new capabilities […]
A Blockchain Architecture for the Internet of Things
The promise of the Internet of Things: This integration should ideally map to a decentralized hardware and software platform.
Semantic Cache for AI-Enabled Image Analysis
The Semantic Cache combines the low latency of edge deployments with the near-infinite resources available in the cloud to support AI workloads.
IoT and Machine Learning to Reduce Energy Use in Cooling Systems
A new approach to operating a building’s cooling system using machine learning techniques and Internet of Things (IoT) data can help to drive down energy consumption and costs, as the global demand for energy increases. The buildings sector is one of the largest energy-consuming entities, accounting for a staggering 40 percent of global energy consumption […]
C3SR Develops Winning Design for IoT Applications
Researchers at the IBM-Illinois Center for Cognitive Computing Systems Research (C3SR) developed a winning solution in the 2018 DAC System Design Contest, announced last week at the Design Automation Conference (DAC) in San Francisco. The contest, jointly sponsored by ACM SIGDA and DAC, challenged worldwide experts to design low-power embedded systems for Internet-of-Things (IoT) applications. […]
Using IoT and machine learning to track the progression of lung disease
Chronic obstructive pulmonary disease, a.k.a. COPD, is a progressive lung disease which causes breathlessness and is often caused by cigarette smoke and air pollution. By 2030, it is expected to be the third leading cause of death worldwide, with 90 percent occurring in low and middle-income countries, according to the World Health Organization. The Centers […]
IBM scientists team with The Weather Company to bring edge computing to life
Super Bowl LI was a historic day for the sport of football. It was also a historic day for technology. Picture this: wireless and cellular data consumed by fans at Super Bowl games has doubled every year for the last five years. According to Mobile Sports Report, Super Bowl LI broke the single-day wireless data […]
A cognitive in-car companion to help us enjoy the journey
In Dublin, scientists from IBM Research – Ireland and University College Dublin (UCD) are developing and testing a Cognitive In-Car Companion as part of an EU H2020 / ECSEL co-funded project called ENABLE-S3 – an effort to accelerate the validation and application of highly automated systems in several domains, including automotive. The Irish use case […]
IBM 5 in 5: Macroscopes will help us understand Earth’s complexity in infinite detail
I am part of a team of scientists in IBM Research that study and explore the intersection of big data with physics; a field that is known as physical analytics. My team’s expertise in physical models, machine-learning, sensors, data curation and big data technologies has been put to use in applications dealing with renewable energy, […]
IBM 5 in 5: Smart Sensors will detect environmental pollution at the speed of light
Our team brings together a variety of disciplines including silicon photonics, spectroscopy, materials science and physical analytics to create new sensing technologies that can pinpoint and monitor the quality of our environment. Why? Because we believe that a multidisciplinary, collaborative approach is what’s necessary to help prevent pollution. And that’s also why we’re working with […]