IBM Brasil
The agreement with IBM Brasil aims to select and fund scientific and technological research, involving collaboration between researchers from IBM Brasil and from public or private higher education and/or research institutions in the State of São Paulo.
- Fonds de Recherche du Québec (FRQ)
- Centro para el Desarrollo Tecnológico Industrial (CDTI)
- Comisión Nacional de Investigación Científica y Tecnológica (CONICYT)
- Danish Agency for Science and Higher Education
- Duke University
- Equinor (former Statoil)
- EU-CELAC IG (former ERA.Net - LAC)
- EU-LIFE
- Global Alliance for Chronic Diseases (GACD)
- Global Research Collaboration for Infectious Disease Preparedness (GloPID-R)
- Grupo São Martinho
- INCOBRA
- See more FAPESP Cooperation Partnerships and Agreements
- 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...
- Stochastic calibration of the SEBAL algorithm for variable rate irrigation prescription in subtropical climate, AP.PITE
Abstract
The spatio-temporal variation of evapotranspiration (ET) is the key to improve the water management over irrigated agricultural areas. Many remote sensing methods have been developed for mapping ET, among them, the most widely used is the Surface Energy Balance Algorithm for Land (SEBAL). However, SEBAL was developed for particular satellite sensors and images resolutions, in which func...
- Remote sensing techniques for monitoring arthropod pests in agricultural fields, AP.PITE
Abstract
Outbreaks of many arthropod pests are not uniformly distributed within fields, and the timing of pest outbreaks is also unpredictable. Moreover, effective pest management relies heavily on early-detection, allowing the growers to make decisions before pests are well-established and crop losses amount. Crop monitoring procedures, to detect emerging pest outbreaks, are time-consuming, pra...
(Only some records are available in English at this moment)
- A multitasking learning approach to precipitation extremes forecasting, AP.PITE
Abstract
Abnormal climate events, such as precipitation extremes, are becoming more frequent, widespread, and intense, imposing huge challenges to society, even in urban or rural areas. Therefore, we are facing an increasing demand for high-performance information forecasting services. In fact, the effectiveness of economical and safety policies is directly promoted by our ability to manage the ...
- 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...
(Only some records are available in English at this moment)
- 3-D scene understanding for agriculture using deep neural networks, BP.IC
Abstract
To operate autonomously in an unstructured, complex environment like agricultural crop fields, machines need 3-D scene understanding: a machine reasoning-based process to detect structures of interest and their three-dimensional spatial organization and pose. The recent success of deep neural networks (DNN) in several artificial intelligence problems has made some researchers to say tha...
- Drone-borne radar for sugar cane precision agriculture, BP.MS
Abstract
The goal of this project is to introduce the student to the polarimetric, interferometric and multi-band synthetic apertureradar, SAR, and also to its application in the precision agriculture. The student will be introduced to the electromagneticwave theory and its interaction with the vegetation and to the signal and image processing theory. He will then be guidedto develop a methodolo...
- Drone-borne radar for sugar cane precision agriculture, BP.MS
Abstract
The goal of this project is to introduce the student to the polarimetric, interferometric and multi-band synthetic apertureradar, SAR, and also to its application in the precision agriculture. The student will be introduced to the electromagneticwave theory and its interaction with the vegetation, to the signal and image processing theory and to prediction filters.He will then be guided...
- Bootstrap conditions for interaction-based multimodal learning in cognitive robotics: development of an emotional module for a cognitive architecture, BP.IC
Abstract
With recent technological advances in computing and robotics, as well as new discoveries in the area of neuroscience, we are now more capable than ever before to attempt at simulating human life in a robotic environment. But it is very important to remember that the construction and design of a humanoid robot is not limited to the mechanical or to the sensors the robot possesses. One of...
- Construction of a humanoid robot for cognitive interaction, BP.IC
Abstract
In order to perform real world experiments with the proposed cognitive architecture, this Scientific Initiation aim at building a humanoid robot typically with 25/27 degrees of freedom (DOF). Previous models of humanoid robots built by the team will be used as reference. However, in order to comply with the requirements of multimodal sensing and interactive behavior, the platform must b...
- Application of ontologies in computational medicinal chemistry studies and relations between chemical structure and biological activity, BP.MS
Abstract
The quantitative study of structure-activity relationship (QSAR) involves the construction of regression models that relate properties (descriptors) of a set containing chemical substances and biological activity data in relation to one or more biological targets in the body. Data sets manipulated by researchers using QSAR techniques are usually characterized by a small number of instan...
(Only some records are available in English at this moment)
| 7 / 7 | Ongoing research grants |
| 10 / 10 | Completed research grants |
| 3 / 3 | Ongoing scholarships in Brazil |
| 12 / 9 | Completed scholarships in Brazil |
| 32 / 29 | All research grants and scholarships |
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