Supporting Collaboration in Research between Universities/Institutes and Companies
FAPESP has a long and successful history of supporting collaborative research with companies. The Program for Supporting Collaboration in Research between Universities/Institutes and Companies includes the following modalities:
- Application-oriented Research Programs (Business and Government)
- Small Business Research
- Supporting Collaboration in Research between Universities/Institutes and Companies
- Public Policy
- Support of Intellectual Property Rights and Licensing (PAPI/NUPLITEC)
- Center for Artificial Intelligence, AP.PCPE
Abstract
This proposal describes an Engineering Research Center for Artificial Intelligence (AI) committed to conduct research in basic AI topics and to apply AI techniques to selected application areas --- namely, oil and gas industry, agribusiness, and health. The Center will also fund studies on the social and economic impact of AI, and will carry activities aimed at technology transfer and k...
- FAPESP/MMV/DNDi/UNICAMP/USP Consortium to discover new drugs for the treatment of tropical parasitic diseases, AP.PITE
Abstract
We propose to establish a FAPESP/MMV/DNDi/UNICAMP/USP consortium with the ultimate goal to discover novel drug candidates for clinical development. To this end, the consortium will place high priority on selecting team members from the state of Sao Paulo with a proven track record of high quality research. This group will work in collaboration with expert scientists from the Drugs for N...
- Engineering research center - plant health in sugarcane, AP.PCPE
Abstract
The Engineering Research Center - Plant Health in Sugarcane (ERC-PHS) is proposed to develop basic and applied studies on sugarcane pest management. Despite the historical success of biological control programs of insect pests and breeding programs for diseases, the sugarcane industry still faces important pest and disease problems. The ERC-PHS is an interdisciplinary and multi-institut...
(Only some records are available in English at this moment)
- Bootstrap conditions for interaction-based multimodal learning in cognitive robotics, AP.PITE
Abstract
How can one incorporate knowledge and develop new abilities by interacting with the world? Different approaches to answer this question have been proposed by philosophers, psychologists and artificial intelligence researchers in the last decades. Despite all these propositions, the capabilities of machines to perform these high level actions are still far from humans in many aspects. I...
- Development of an unmanned aerial vehicle mobile recharging platform coupled with agrometeorological sensors for hailstorm analysis, AP.PITE
Abstract
Hail storms are an extreme atmospheric event that happens all over the world, and which can cause several damages to plants, crops, animals, and buildings. In Brazil, this type of phenomenon affects several families, mainly in rural areas. In recent years, hail storms have caused incalculable damage, especially to coffee plantations in the Midwest region of the state of São Paulo. The a...
- Advanced machine learning, AP.PITE
Abstract
Without being aware, we are using technologies based on Machine learning (ML) algorithms in a growing number of our daily activities. The use of ML has made many risk and tiring activities safer, more reliable and more accurate. Despite these contributions, new demands require the development of new ML algorithms, or use of these algorithms in new and innovative ways. Two important curr...
(Only some records are available in English at this moment)
| 37 / 36 | Ongoing research grants |
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