BIFOLD - Berlin Institute for the Foundations of Learning and Data Revenue and Competitors
Employee Data
- BIFOLD - Berlin Institute for the Foundations of Learning and Data has 57 Employees.
- BIFOLD - Berlin Institute for the Foundations of Learning and Data grew their employee count by 84% last year.
BIFOLD - Berlin Institute for the Foundations of Learning and Data's People
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BIFOLD - Berlin Institute for the Foundations of Learning and Data Competitors & AlternativesAdd Company
Competitor Name | Revenue | Number of Employees | Employee Growth | Total Funding | Valuation |
---|---|---|---|---|---|
#1 | N/A | 20 | 11% | N/A | N/A |
#2 | N/A | 80 | 27% | N/A | N/A |
#3 | N/A | 53 | 23% | N/A | N/A |
#4 | N/A | 71 | 18% | N/A | N/A |
#5 | N/A | 57 | 84% | N/A | N/A |
#6 | N/A | 57 | 36% | N/A | N/A |
#7 | N/A | 5256 | 7% | N/A | N/A |
#8 | N/A | 76 | 33% | N/A | N/A |
#9 | N/A | 66 | 53% | N/A | N/A |
#10 | N/A | 56 | 0% | N/A | N/A |
What Is BIFOLD - Berlin Institute for the Foundations of Learning and Data?
The Berlin Institute for the Foundations of Learning and Data (BIFOLD), has evolved in 2019 from the merger of two national Artificial Intelligence Competence Centers: the Berlin Big Data Center (BBDC) and the Berlin Center for Machine Learning (BZML). Embedded in the vibrant Berlin metropolitan area, BIFOLD provides an outstanding scientific environment and numerous collaboration opportunities for national and international researchers. BIFOLD offers a broad range of research topics as well as a platform for interdisciplinary research and knowledge exchange with the sciences and humanities, industry, startups and society.\n\nData management (DM) and machine learning (ML) are the scientific and technical pillars powering the current wave of innovation in artificial intelligence (AI); it is the efficient processing and intelligent analysis of very large, complex, heterogeneous data that has the potential to revolutionize and substantially improve our lives and societies. BIFOLD conducts scalable yet agile foundational AI research. Furthermore, it addresses the emerging challenges and requirements created by the rapidly growing importance of data management and machine learning in practically all areas, from medicine, industry, natural sciences, humanities, e-commerce, and media, to government and society.
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Total Funding
57
Number of Employees
N/A
Revenue (est)
84%
Employee Growth %
N/A
Valuation
N/A
Accelerator
Company Name | Revenue | Number of Employees | Employee Growth | Total Funding |
---|---|---|---|---|
#1 | $13M | 57 | -42% | N/A |
#2 | $35M | 57 | -5% | N/A |
#3 | $7.4M | 57 | 19% | N/A |
#4 | $7.4M | 57 | 10% | N/A |
#5 | $5.2M | 57 | 90% | N/A |