Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Singapore
- France
- United Kingdom
- Portugal
- Netherlands
- Germany
- Norway
- Spain
- Belgium
- Italy
- Poland
- Sweden
- Australia
- Denmark
- Canada
- Finland
- United Arab Emirates
- Austria
- Switzerland
- Luxembourg
- Ireland
- Morocco
- China
- Japan
- Romania
- Hong Kong
- India
- Mexico
- Brazil
- Cyprus
- Greece
- Saudi Arabia
- Slovenia
- Bulgaria
- Croatia
- Czech
- Estonia
- Iceland
- Lithuania
- Malta
- 31 more »
- « less
-
Program
-
Field
-
of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 4 days ago
, studying atmospheric responses to episodic events, comparing ground-based observations with satellite datasets and atmospheric models, and developing new retrieval algorithms. Field of Science: Earth Science
-
responsible AI practices, including awareness of bias, fairness, and transparency in data and algorithms Work collaboratively within interdisciplinary teams, translating research and policy needs into technical
-
multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home . The Department
-
infrastructure and surrounding terrain. The work can include physics-based modelling of e.g., various events and wave propagation through different media, signal processing, large-scale data analysis, algorithm
-
national center for biodiversity information. Among other things, Naturalis runs large-scale ML services for nature recognition, including bioacoustics algorithms developed in the team. What you will do
-
; multi-modal scene sensing and interpretation; pre-harvest fruit quality assessment; and perception algorithms for autonomous crop harvesting. We are particularly interested in applicants with experience
-
and cognitive systems. They focus on the design of methodologies and algorithms for processing and extracting information, decisions, actions and communications that are viable, efficient and compatible
-
algorithms for: Fine-grained video understanding Concept learning Temporal reasoning Vision-Language Models (VLMs) Multimodal representation learning Self-supervised and weakly supervised learning Fine-tune
-
directions include: Using AI to learn parameters and design circuits for quantum optimization algorithms (e.g., beyond QUBO formulations for QAOA) Developing AI-driven methods to discover quantum optimization