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Keeping workers safe through analytics derived from sensor data fusion & aggregation and delivered through pervasive connectivity & real-time visualization
The former Research Lab leader, a ‘technical leader of the highest level,” passed away earlier this week.
GE Research teams up with NYSID and the Center for Disability Services in Albany to supply 400 face shields to Albany Medical Center.
- GE’s experimental MAGNUS gradient coil installed in a GE 3.0 Tesla clinical MRI scanner delivers an unprecedented combination of slew rate and gradient strength for brain imaging, operating in the 500 – 700 Tesla/meter/second (T/m/s) and 200-300 milliTesla/meter (mT/m) range vs.
~10 years' wet & solid-state chemistry experience. Strong synthetic, characterization, and processing skills for both inorganic and organic materials. Areas of expertise:
Dr. Naresh Iyer is a Principal Scientist in the AI and Machine Learning group at GE Research. He has 20 years of experience in the research and application of machine learning to a variety of industry problems, including asset life prognostics, surrogate modeling, multi-objective optimization and decision making under uncertainty. He has developed solutions for a diverse range of industrial applications using methods in supervised, unsupervised, semi-supervised learning and evolutionary soft computing.
With a new Forge Lab in Bangalore, GE Research is expanding its capabilities of tackling technical problems to build a greater portfolio of diverse technology missions.
For Sara, the strength of the Edison Engineering Development Program at GE Research lies in the members’ ability to choose which research areas they want to explore.
Tube Watch is GE Healthcare’s predictive solution that is designed to remotely
monitor and predict X-ray tube failures before any disruption occurs.
Hear from two scientists at GE Research on how their work is helping to advance breast cancer research and forge new boundaries in the cancer imaging space.