Today’s announcement isn’t just that our new Gate-All-Around (GAA) nanosheet device architecture enables us to fit 50 billion transistors in a space roughly the size of a fingernail. It’s not just that IBM Research’s second-generation nanosheet technology has paved a path to the 2-nanometer (nm) node. Or that we produced this breakthrough technology on a 300 millimeter (mm) wafer built at IBM Research’s semiconductor research facility in Albany, NY. It’s all of those things, of course.
Five years ago today, the team made history by launching the IBM Quantum Experience, putting the first quantum processor on the IBM Cloud so that anyone could run their own quantum computing experiments.
MIT Brain and Cognitive Sciences, in collaboration with the MIT-IBM Watson AI Lab, has developed a new Embodied AI benchmark, the ThreeDWorld Transport Challenge, which aims to measure an Embodied AI agent’s ability to change the states of multiple objects to accomplish a complex task, performed within a photo- and physically realistic virtual environment.
To better simulate how the human brain makes decisions, we’ve combined the strengths of symbolic AI and neural networks. Specifically, we combined the learning representations that neural networks create with the symbol-like entities represented by high-dimensional and distributed vectors. The idea is to guide a neural network to represent unrelated objects with dissimilar high-dimensional vectors.
Our team of researchers from IBM and the University of Manchester used large-scale numerical simulations to explore the basic physics behind the molecular interactions between graphene and water – the physics driving the wetting phenomenon.
We've developed speech synthesis technology that emulates the type of expressiveness humans naturally deploy in face-to-face communication. In our recent paper Supervised and Unsupervised Approaches for Controlling Narrow Lexical Focus in Sequence-to-Sequence Speech Synthesis presented at the IEEE Spoken Language Technologies Workshop in Shenzhen, China, we describe a system that can emphasize or highlight certain words to improve the expressiveness of a sentence or help with context ambiguity.
It’s fast. It’s clever. It’s a robot – and it’s about to cross the Atlantic. Laden with 700 kg of scientific equipment, Mayflower is arguably the world’s most cutting-edge ship. Fully autonomous, solar-powered and without any crew, it’s getting ready to sail from Plymouth in the UK to Plymouth, Massachusetts, in the US. On its two-week, 3,000-mile journey, the sleek 15m-long trimaran will be studying the ocean, its inhabitants and the water composition.
This year's Qiskit Global Summer School, from July 12-23, will feature two weeks of live lectures and hands-on laboratory sessions where students can apply what they've learned using Qiskit code using the new Qiskit machine learning application module.
Committed to reaching net zero greenhouse gas emissions by 2030, IBM Research plays a crucial role in the company’s path toward a more sustainable future.
In a new paper published in Frontiers in Digital Health journal, we present the first empirical evidence of tablet-based automatic assessments of patients using speech analysis — successfully detecting mild cognitive impairment (MCI), the transitional stage between normal aging and dementia.
Our study "Comparison of methods to reduce bias from clinical prediction models of postpartum depression” examines healthcare data and machine learning models routinely used in both research and application to address bias in healthcare AI.