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I’m increasingly convinced of its importance. Captured every second by monitors in hospitals, vital signs have immense potential to improve patient care and provide value from AI that investors have been hoping for but have not yet seen. I believe this potential is why BD (Becton, Dickinson...
Ekholm advises TSPs to, “Learn from users and develop trust in order to act on their behalf and drastically reduce the time it takes for them to interact with their products.” TSPs should also encourage customers to provide rich behavioral data to AI-powered tools so they calibrate their ...
In the life sciences sector, RoadMap Technologies incorporates TimeGEN-1 within its TrailBlazer platform, providing users with robust and integrated forecasting solutions that quantify uncertainty and enhance decision-making. STIHL, a global leader in power equipment, ...
We can help you reduce uncertainty in the design and construction process. This helps to estimate costs more accurately and avoids unnecessary waste. USECASE > ENGAGED & ALIGNED An Extension Of Your Team, Beyond Technology At INFR, we see ourselves as part of your project, with a singular sh...
Nowadays Artificial Intelligence (AI) has become a fundamental component of healthcare applications, both clinical and remote, but the best performing AI s
Quantifying Uncertainty in Deep Spatiotemporal Forecasting [paper] Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting [paper] [official code] TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction [paper] Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Sp...
26 February 2016 Singularity of the time-energy uncertainty in adiabatic perturbation and cycloids on a Bloch sphere Sangchul Oh1, Xuedong Hu2, Franco Nori3,4 & Sabre Kais1,5 Adiabatic perturbation is shown to be singular from the exact solution of a spin-1/2 particle in a unifo...
backdrop. Even though the company retains clear leadership in advanced graphics processing units (GPUs) and other AI hardware, investors' focus has understandably shifted to the macro picture. And it makes sense to take a somewhat cautious approach when there's still so much uncertainty on the ...