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Caltech (California)
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About Caltech (California)
Founded in1891 (134 yrs old)
India Employee Count--
Global Employee Count1k-5k
HeadquartersPasadena, Canada
Office Locations
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Websitecaltech.edu
Primary Industry
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The California Institute of Technology (Caltech) enrolls about 2,100 students and offers programs in areas such as chemistry, planetary sciences, physics, math, humanities, social sciences, and engineering. Caltech has a very low student-teacher ratio of 3:1. The school receives about half of its operating revenue through research grants, primarily from government agencies. Its professors and graduates have snared a total of 32 Nobel Prizes; other alumni include filmmaker Frank Capra and Apollo 17 astronaut Harrison Schmitt. Caltech operates the Jet Propulsion Laboratory (JPL), which supervises Mars exploration programs and other interplanetary missions, under contract to NASA. The school was founded in 1891.
Mission: The mission of the California Institute of Technology is to expand human knowledge and benefit society through research integrated with education. We investigate the most challenging, fundamental problems in science and technology in a singularly collegial, interdisciplinary atmosphere, while educating outstanding students to become creative members of society.
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Overall Rating | - based on 0 reviews | 3.6/5 based on 1.1k reviews | 3.5/5 based on 3k reviews | 4.0/5 based on 1.5k reviews |
Highly Rated for | - | Job Security | No highly rated category | Skill development Company culture Salary & Benefits |
Critically Rated for | - | Promotion/Appraisals Salary & Benefits Skill development | Promotion/Appraisals Work-Life balance Work Satisfaction | No critically rated category |
Primary Work Policy | - | Work from office 97% employees reported | Work from office 87% employees reported | Work from office 94% employees reported |
Rating by Women Employees | - no rating available | 3.3 Average rated by 399 women | 3.5 Good rated by 837 women | 4.0 Good rated by 742 women |
Rating by Men Employees | - no rating available | 3.8 Good rated by 617 men | 3.5 Good rated by 2k men | 4.0 Good rated by 551 men |
Job Security | - Data not available | 3.8 Good | 3.2 Average | 3.7 Good |
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Caltech (California) Salaries
QC Engineer
(2 salaries)
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₹4.4 L/yr - ₹5.6 L/yr
Team Lead
(1 salaries)
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₹20.5 L/yr - ₹26.2 L/yr
Customer Service
(1 salaries)
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₹0.7 L/yr - ₹0.9 L/yr
BPO Executive
(1 salaries)
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₹1.6 L/yr - ₹2.1 L/yr
Module Lead
(1 salaries)
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₹15.3 L/yr - ₹19.5 L/yr
Hvac Technician
(2 salaries)
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₹3.2 L/yr - ₹4.1 L/yr
Caltech (California) News
Black hole paradox that stumped Stephen Hawking may have a solution, new paper claims
- New research suggests that black holes may secretly leak information through subtle signatures in gravitational waves.
- The black hole information paradox, which has puzzled researchers for decades, may have a solution.
- The hypothesis of nonviolent nonlocality proposes that quantum connections between the inside and outside of black holes preserve information outside the black holes.
- Researchers at Caltech have outlined a program to test this hypothesis using gravitational wave detectors.
Livescience | 12 Dec, 2024
How robots are learning to think on their feet: Caltech’s game-changing algorithm
- A new algorithm called Spectral Expansion Tree Search (SETS) developed by researchers at Caltech helps robots plan movements in real-time.
- SETS allows robots to quickly choose the best actions to take while navigating their environments, adapting to unexpected events and making decisions quickly.
- It uses a Monte Carlo Tree Search, balancing exploration and exploitation, to find the best solution without wasting time on bad options.
- SETS has been tested on different robotic systems, including a drone, ground vehicle, and tethered spacecraft, showing its versatility and ability to handle unique challenges.
Knowridge | 5 Dec, 2024
Revolutionizing AI: Caltech’s New FIP Algorithm Tackles Catastrophic Forgetting in Neural Networks
- Caltech researchers have developed the functionally invariant path (FIP) algorithm to address catastrophic forgetting in neural networks.
- The FIP algorithm enables neural networks to integrate new information while retaining previously learned skills.
- The algorithm has practical implications for applications like online shopping recommendations and self-driving cars.
- The collaborative efforts of Caltech professor Matt Thomson and Guru Raghavan have led to the development of the FIP algorithm.
Medium | 16 Nov, 2024
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