At CVPR 2019, IBM researchers introduce techniques to interpret visually descriptive language to generate compositional scene representations from textual descriptions.
At CVPR 2019, IBM researchers introduce an improved method to bridge the semantic gap between visual scenes and language to produce diverse, creative and human-like captions.
Quantum computers are extremely susceptible to “noise” from their environment – which leads to errors in the computation.
Since launching its Q Network initiative in 2017, IBM Research has been working with Fortune 500 companies, academic institutions, research labs and startups worldwide to advance quantum computing technology for commercial use.
IFI CLAIMS Patent Services today announced that for the 26th year, IBM is the top recipient of U.S. patents – a record 9,100, including more than 3,000 patents related to work in artificial intelligence, cloud and quantum computing. Our work in these areas, and others, began long before there were practical enterprise uses for the […]
In cavity quantum electrodynamics (QED), light and matter lose their distinct characteristics.
NeuNetS uses AI to automatically synthesize deep neural networks faster and more easily than ever before, scaling up the deployment and adoption of AI.
Bringing Art and Science Together Skilled perfumers bring art and science together to design new fragrances, a talent that takes ten or more years to develop. Crafting a fragrance that leaves an impression is one of the most important components a consumer considers when forming a positive or negative opinion about everyday products like laundry […]
Threat discovery in cybersecurity is like scientific discovery: both start from observations, such as an anomalous cyber activity or an interesting fact; both require hypothesis conception, such as what malicious intent is behind the activity or what causes the fact; both develop hypotheses regarding additional observations and finally validate them. Our team at the IBM […]