Conférences - Réseaux de neurones et intelligence artificielle, apprentissage automatique - États-Unis

Open Data Science Conference (ODSC)

ODSC Mini Virtual Bootcamp is the best way to gain in-demand data science skills in the shortest time with minimum investment. Starting in the summer, the Live and on-demand pre-Bootcamp Training & the Learning Hackathon will provide the right preparation and confidence to put your practice to work in your learning path.

It’s truly an immersive experience. Over almost a week, you will access an expanse of industry focused data science topics on a scale not offered elsewhere. Uniquely, you will also get invaluable insights by networking and connecting with hundreds of data science attendees, world renowned instructors, industry experts, and dozens of top companies seeking the next wave of talent.

Email.: info@odsc.com

ODSC, AI, Artificial Intelligence, Bootcamp

Formation en informatique ,    Evènements pour étudiants en informatique

Open Data Science Conference (ODSC)

ODSC is the best community data science event on the planet. There are other events that cover special topics, or industries, etc., but ODSC is comprehensive and totally community-focused: it's the conference to engage, to build, to develop, and to learn from the whole data science community. ODSC East 2021 is one of the largest applied data science conferences in the world. Our speakers include core contributors to many open source libraries and languages. Attend ODSC East 2021 and learn the latest AI & data science topics, tools, and languages from some of the best and brightest minds in the field.

Open Data Science Conference (ODSC)

AI and data science is transforming business. The Ai x Summit will give you the knowledge and connections to be at the forefront.

ICERM - The Institute for Computational and Experimental Research in Mathematics

Deep learning is profoundly reshaping the research directions of entire scientific communities across mathematics, computer science, and statistics, as well as the physical, biological and medical sciences . Yet, despite their indisputable success, deep neural networks are known to be universally unstable. That is, small changes in the input that are almost undetectable produce significant changes in the output. This happens in applications such as image recognition and classification, speech and audio recognition, automatic diagnosis in medicine, image reconstruction and medical imaging as well as inverse problems in general. This phenomenon is now very well documented and yields non-human-like behaviour of neural networks in the cases where they replace humans, and unexpected and unreliable behaviour where they replace standard algorithms in the sciences.

Tél.: [4018635030];     Email.: programstaff@icerm.brown.edu

Kavli Institute for Theoretical Physics (KITP)

The Large Hadron Collider (LHC) is the world’s facility for probing fundamental physics at the electroweak scale and well beyond. As it enters a new phase of extended data accumulation, two broad challenges emerge: how to fulfill the potential for percent-level precision with the large dataset, and how to maximise the information that can be extracted from each event about the underlying scattering process, in particular with machine learning. Solving these problems will have an impact across a wide range of physics topics: establishing the properties of the newly discovered interactions of the Higgs sector and understanding electroweak symmetry breaking, enhancing the sensitivity of searches for physics beyond the Standard Model (BSM), and precision measurements of a range of fundamental parameters in the Standard Model.

The 24th International Conference on Artificial Intelligence and Statistics will be held virtually from Tuesday, 13 April 2021 to Thursday, 15 April 2021. Since its inception in 1985, AISTATS has been an interdisciplinary gathering of researchers at the intersection of artificial intelligence, machine learning, statistics, and related areas.

MRSI – Mathematical Sciences Research Institute, Berkeley

The talks in this workshop will present a wide array of current applications of topology in neuroscience, including classification and synthesis of neuron morphologies, analysis of synaptic plasticity, algebraic analysis of the neural code, topological analysis of neural networks and their dynamics, topological decoding of neural activity, diagnosis of traumatic brain injuries, and topological biomarkers for psychiatric disease. Some of the talks will be devoted to promising new directions in algebraic topology that have been inspired by neuroscience.

Géométrie et topologie,    Neurologie

Ai4

The Ai4 2021 Healthcare Summit gathers business leaders and data practitioners to facilitate the adoption of artificial intelligence and machine learning within the healthcare industry.

Email.: jessica@ai4.co

healthcare, medical devices, drug discovery, biotech, artificial intelligence, machine learning

Génie biomédical,    Pharmacologie et développement des médicaments

Association for Uncertainty in Artificial Intelligence (auai)

The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).

Éducation,    Psychologie

SEG - Society of Exploration Geophysicists

The most significant contribution of this event is the Emergence of the utilization of data analytics and machine learning for geoscience. This workshop is designed to showcase the successes and challenges of practicing machine learning and data analytics in the geoscience domain to improve accuracy and efficiency of algorithms and/or workflows. For example, in addition to existing applications such as seismic geobody identification and well log data analysis, what other challenging geoscience problems can be formulated and solved effectively by machine learning? How can machine learning algorithms and workflows be tailored to meet the specific physical constraints of geoscience data? How can we fully exploit the power of machine learning and physics-based approaches?

Géophysique et géologie,    Métrologie et instrumentation

Over three days, the Ai4 2021 Summit brings together business leaders and data practitioners to facilitate the adoption of artificial intelligence and machine learning technology. Join us at industry’s most impactful AI event.

The world’s leading AI & Big Data event series will be returning to the Santa Clara Convention Center for a physical show on September 22-23rd 2021. This virtual technology event is for the ambitious enterprise technology professional, seeking to explore the latest innovations, implementations and strategies to drive businesses forward.

IEEE SSCI is an established flagship annual international series of symposia on computational intelligence sponsored by the IEEE Computational Intelligence Society. IEEE SSCI 2021 promotes and stimulates discussion on the latest theory, algorithms, applications and emerging topics on computational intelligence across several unique symposia, providing an opportunity for cross-fertilization of research and future collaborations.