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University of California Berkeley
4.0
based on 2 Reviews
About University of California Berkeley
Founded in1682 (343 yrs old)
India Employee Count--
Global Employee Count1k-5k
HeadquartersBerkeley, Canada
Office Locations
--
Websiteberkeley.edu
Primary Industry
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The University of California at Berkeley has been organic from the beginning. UC Berkeley was created by the state's Organic Act of 1868, merging a private college and a land-grant institution. From modest East Bay beginnings came a world-class university that grew world-famous in the 1960s from the Free Speech Movement on campus, and for the social activism that still defines many of its students today. The 2,000 members of the faculty include eight Nobel laureates, four Pulitzer Prize winners, and 32 MacArthur Fellows (the "genius awards"). UC Berkeley, also known as Cal Berkeley, annually educates about 25,500 undergraduates and some 10,300 graduate students. Its student-teacher ratio is 15:1.
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University of California Berkeley Ratings
based on 2 reviews
Overall Rating
4.0/5
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4
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3
0
2
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1
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Category Ratings
4.9
Work-life balance
4.0
Company culture
3.0
Job security
3.0
Salary
2.1
Skill development
2.1
Promotions
2.1
Work satisfaction
University of California Berkeley is rated 4.0 out of 5 stars on AmbitionBox, based on 2 company reviews. This rating reflects a generally positive employee experience, indicating satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
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University of California Berkeley Reviews
Compare University of California Berkeley with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 4.0/5 based on 2 reviews | 3.6/5 based on 1.1k reviews | 3.5/5 based on 3.2k reviews | 3.9/5 based on 1.5k reviews |
Highly Rated for | Work-life balance Company culture | Job security | No highly rated category | Skill development Work-life balance Salary |
Critically Rated for | Skill development Promotions Work satisfaction | Promotions Salary Skill development | Work-life balance Promotions Job security | No critically rated category |
Primary Work Policy | - | Work from office 98% employees reported | Work from office 87% employees reported | Work from office 97% employees reported |
Rating by Women Employees | - no rating available | 3.4 Average rated by 414 women | 3.5 Good rated by 891 women | 3.9 Good rated by 782 women |
Rating by Men Employees | - no rating available | 3.8 Good rated by 635 men | 3.4 Average rated by 2.2k men | 3.9 Good rated by 570 men |
Job security | 3.0 Average | 3.9 Good | 3.1 Average | 3.7 Good |
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University of California Berkeley Salaries
University of California Berkeley salaries have received with an average score of 3.0 out of 5 by 2 employees.
Researcher
(3 salaries)
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₹21.6 L/yr - ₹27.6 L/yr
Research Scholar
(1 salaries)
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₹5.8 L/yr - ₹7.4 L/yr
Research Associate
(1 salaries)
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₹1.8 L/yr - ₹2.3 L/yr
Research Assistant
(1 salaries)
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₹16.2 L/yr - ₹20.7 L/yr
Postdoctoral Researcher
(1 salaries)
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₹29.8 L/yr - ₹38.1 L/yr
Post Doctoral Research Fellow
(1 salaries)
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₹4 L/yr - ₹5.1 L/yr
University of California Berkeley News
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Thermorphs: Self-Folding 3D Prints
- Researchers at the Morphing Matter Lab at UC Berkeley have developed a technique to create 3D printed objects that can self-assemble when placed in hot water.
- By printing joints with PLA and TPU layers and changing the print speed, the deformation and stress in the print can be controlled.
- Using Hilbert curve infill, stress-free and rigid sections of the print can be created.
- The thermoplastic parts can be heat-formed and regain their shape memory when placed back into hot water.
Hackaday | 28 Feb, 2025
A tiny amount of this powder can absorb as much CO2 as a tree
- Efforts to combat climate change have intensified with rising CO2 levels, leading to a focus on carbon capture technologies like direct air capture (DAC).
- A breakthrough material called a covalent organic framework (COF) developed by UC Berkeley researchers shows promise in efficiently capturing atmospheric CO2.
- The COF demonstrated superior performance in cleaning air of CO2 when tested under real-world conditions, surpassing existing DAC methods.
- UC Berkeley study showed that just 200 grams of COF can capture 20 kg of CO2 annually, equivalent to a mature tree's carbon absorption.
- Climate experts see DAC as crucial in reversing the rise in atmospheric CO2 levels, where levels have exceeded 420 ppm.
- The new COF, COF-999, is water-stable, highly selective for CO2, and capable of hundreds of cycles without degradation, offering a significant advancement in DAC technology.
- COF-999 has the capacity to hold up to 2 millimoles of CO2 per gram, outperforming many other solid sorbents used for air capture.
- Omar Yaghi's research on MOFs and COFs has led to the creation of COF-999, a material setting new standards in direct air capture efficiency.
- The material's resilience through multiple adsorption-desorption cycles and energy-efficient properties make it a promising candidate for large-scale carbon capture operations.
- UC Berkeley researchers are exploring AI-driven approaches to optimize carbon capture materials further, highlighting the potential for future innovations in the field.
- With advancements like COF-999, the outlook for carbon capture technology appears optimistic, offering hope for effective solutions in combating climate change.
Brighter Side of News | 24 Feb, 2025
Deep Dive into Alaya AI: Everything You Need to Know About AI Data Labeling
- Data annotation is crucial for AI systems to understand and learn from data, enabling applications like speech recognition, computer vision, and natural language processing.
- Traditional manual annotation methods are costly and time-consuming, driving the need for automated intelligent annotation solutions like Alaya AI.
- Alaya AI's innovative data annotation method revolutionizes AI training by offering efficiency, cost-effectiveness, and high-quality annotations.
- The platform's distributed data annotation approach ensures diversity in datasets, crucial for building robust AI models across industries.
- Alaya AI's Open Data Platform (ODP) leverages Web3 technology for transparent and decentralized data transactions, benefiting smaller AI developers.
- The AI automation toolkit of Alaya AI reduces manual annotation costs and time, improving model training efficiency and accuracy.
- The platform collaborates with academic institutions like the University of California, Berkeley, to stay at the forefront of AI advancements.
- Alaya AI's revenue is projected to exceed $6 million, with rapid growth in demand driven by the expanding AI market and need for high-quality labeled data.
- The global data annotation field is poised for growth, with increasing demand fueled by advancements in AI, blockchain integration, automation technology, and data volume.
- Alaya AI aims to expand into new industries, optimize its AI tools, target global markets, and focus on continuous innovation and technological R&D for future growth.
TechBullion | 20 Feb, 2025
Deep Dive Into Alaya AI: Everything You Need To Know About AI Data Labeling
- Data annotation is essential for AI models to understand and learn from data, enabling applications like speech recognition, computer vision, and natural language processing.
- The traditional manual annotation methods for data are costly, time-consuming, and error-prone, leading to a demand for automated intelligent annotation solutions.
- Alaya AI addresses challenges in data annotation by offering a distributed data collection platform, Open Data Platform (ODP), and AI Automation Toolset.
- The distributed data annotation platform of Alaya AI taps into a global contributor network to handle large datasets, ensuring data diversity crucial for robust AI models.
- Alaya AI's ODP supports Web3-native data transactions, providing a transparent and decentralized model for exchanging data while ensuring security and ownership.
- The AI Automation Toolkit of Alaya AI utilizes reinforcement learning and evolutionary algorithms to automate data annotation tasks, reducing time and costs while maintaining quality.
- Alaya AI's advantages include leveraging a global data community, offering custom Web3 data pools, and providing specialized data annotation services for industries like finance and healthcare.
- The platform collaborates with academic institutions like UC Berkeley, positioning itself at the forefront of AI advancements and integration of cutting-edge technologies.
- Alaya AI projects annual revenue to surpass $6 million, with a growing demand driven by the accelerating need for high-quality labeled data in various industries.
- The integration of blockchain, advancements in automation technology, and the increasing global data demand contribute to the growth prospects of Alaya AI in the data annotation market.
TheNewsCrypto | 18 Feb, 2025
This AI Paper from UC Berkeley Introduces a Data-Efficient Approach to Long Chain-of-Thought Reasoning for Large Language Models
- Researchers from UC Berkeley introduced a data-efficient approach to long chain-of-thought (CoT) reasoning for large language models (LLMs).
- Their method uses fine-tuning with only 17,000 CoT examples, optimizing structural integrity of reasoning steps.
- The study showcases significant performance improvements, with LLMs achieving competitive results even with reduced data requirements.
- This approach enhances LLM reasoning efficiency, making them more accessible and scalable for widespread use.
Marktechpost | 15 Feb, 2025
A Jumping Robot Could Leap Over Enceladus’ Geysers
- The NASA Institute of Advanced Concepts (NIAC) phase I grants for this year include a closer look at a jumping robot concept for exploring Enceladus.
- The Legged Exploration Across the Plume (LEAP) program aims to utilize a specially designed jumping robot to explore the lower parts of the geysers on Enceladus.
- The robot is based on the Salto jumping robot developed at UC Berkeley and could jump up to 100 meters horizontally on Enceladus.
- Jumping is advantageous over other forms of locomotion on Enceladus due to its lack of atmosphere and icy, uneven surface.
- Being terrain agnostic, jumping requires little power and could allow the robot to explore challenging areas and jump through Enceladus' plumes.
- LEAP could potentially hitch a ride with the proposed Enceladus Orbilander, utilizing it as a launch platform and recharging station.
- Challenges for LEAP include the need for improved control systems like additional reaction wheels to enhance motion control in three dimensions.
- Despite size limitations affecting payload capacity, LEAP is expected to carry simple instrumentation like a flow meter and a camera in its exploration.
- The project is in early development stages and aims to showcase important design parameters for future robot designs and prototypes.
- The jumping concept behind LEAP could be significant for future robot locomotion, highlighting a potential trend in robotics.
Universe Today | 12 Feb, 2025
Join Me in UC Berkeley's RDI Advanced LLM Agents MOOC
- UC Berkeley's RDI is offering an Advanced Large Language Model Agents MOOC, focusing on AI research and education.
- The course will cover topics such as inference-time techniques, reasoning strategies, agent safety and security.
- It will be taught by world-class researchers from institutions like Google DeepMind and UC Berkeley.
- Participants can choose between Application Track, Research Track, or auditing the course.
Dev | 4 Feb, 2025
DeepSeek R1 Replicated for $30 By Researchers at UC Berkeley
- Researchers at University of California, Berkeley, replicated key aspects of the DeepSeek R1’s reinforcement learning technology for only $30, demonstrating that advanced reasoning capabilities can emerge in small, cost-efficient AI models.
- The AI system, based on reinforcement learning method, demonstrated autonomous development of problem-solving abilities for tasks like arithmetic and logical reasoning without human guidance of any sort.
- Researchers simulate iterative improvement through reinforcement learning environments, which are structured yet flexible frameworks to refine AI strategies, fostering innovation and accelerating learning.
- The cost and resource efficiency of this model paves the way for a new era of accessible and specialized AI with widespread access to AI research and development, particularly in regions where resources have traditionally been limited.
- Small and affordable AI systems like this could pave the way for developing task-specific AI models that can address complex challenges with precision and efficiency, transforming industries like finance and education.
- By combining reinforcement learning with language models, researchers could develop AI capabilities for tackling broader challenges, which could lead to the development of versatile AI tools that can excel in both reasoning and communication.
- Despite its promise, the future of using reinforcement learning will require balancing cost-efficiency with performance, meeting industry standards for quality and reliability, and rigorous testing and validation during the model’s transition from research to real-world application.
- The milestone highlights the importance of collaboration, accessibility, and innovation in shaping the promising future of AI.
- The breakthrough replicating DeepSeek R1’s reinforcement learning technology by the University of California, Berkeley, demonstrates the potential for innovation and accelerates development across AI-based industries worldwide.
- The future improvements to the model’s generalization and applicability remain an area for further research and development, with continuous efforts to expand the AI’s capabilities for diverse challenges.
Geeky-Gadgets | 1 Feb, 2025
Mistral's New AI Appears to Beat OpenAI Model in Code Generation
- Mistral AI introduces Codestral 25.01, a breakthrough AI model in code generation achieving 95.3% FIM accuracy.
- Codestral 25.01 surpasses OpenAI's FIM API by 2.6 percentage points, delivering industry-leading performance.
- UC Berkeley unveils Sky-T1-32B, a reasoning-focused language model that outperforms OpenAI's o1 on key benchmarks.
- LlamaIndex releases Agentic Document Workflows (ADW), a next-generation framework for comprehensive document processing and automation.
- OpenAI introduces automated task management for ChatGPT Pro users, allowing scheduling and execution of tasks.
Hackernoon | 23 Jan, 2025
Benchmark and Evaluation Framework For Characterizing LLM Performance In Formal Verification (UC Berkeley, Nvidia)
- A technical paper titled 'FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware' has been published by researchers at UC Berkeley and NVIDIA.
- The paper introduces FVEval, a benchmark and evaluation framework for characterizing the performance of large language models (LLMs) in formal verification (FV) tasks related to digital chip design.
- FVEval consists of three sub-tasks that measure LLM capabilities at different levels, including generating SystemVerilog assertions, reasoning about design RTL, and suggesting assertions without human input.
- The paper evaluates a wide range of existing LLMs against FVEval, providing insights into the current state of LLM performance and its potential application in improving digital FV productivity.
Semiengineering | 5 Nov, 2024
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University of California Berkeley FAQs
When was University of California Berkeley founded?
University of California Berkeley was founded in 1682. The company has been operating for 343 years primarily in the Education & Training sector.
Where is the University of California Berkeley headquarters located?
University of California Berkeley is headquartered in Berkeley.
What are the pros and cons of working in University of California Berkeley?
Working at University of California Berkeley comes with several advantages and disadvantages. It is highly rated for work life balance and company culture. However, it is poorly rated for work satisfaction, skill development and promotions / appraisal, based on 2 employee reviews on AmbitionBox.
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