Konferenzen zum Thema Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen in den Vereinigten Staaten (USA)

Cognilytica

Cognilytica is hosting Kathleen Walch and Ron Schmelzer, Managing Partners at Cognilytica and their presentation ‘Intro to CPMAI Methodology for Project Managers’ on Tuesday, July 5, 2022 at 10 AM ET! Far too often, agencies, organizations, and consulting firms are running data and AI projects without taking the right steps to ensure their success. Agile and iterative approaches have become adopted best practices for application development projects, but why don’t we have something similar when it comes to advanced analytics, big data, and AI projects? Without using best-practices approaches that standardize steps for data preparation, data identification, and data protection, it’s hard to achieve the success you’re expecting, wasting money and resources, leading to failure. This session will walk through the Cognitive Project Management for AI (CPMAI) methodology to provide the foundation needed for project success, especially as you incorporate advanced analytics and AI projects. The CPMAI methodology is the established best practice for AI & ML projects, and increasingly will be demanded by organizations and agencies that plan to develop, procure, and deliver AI and advanced analytics projects. This session will provide real world examples of how CPMAI methodology allows individuals to gain the skills needed for AI project success.

Informatik Ausbildung, Lehrgänge,    Online Training, Webinare

Cognilytica

The July 2022 Enterprise Data & AI is excited to host featured guest speaker Vijay Venkatesan, VP & Chief Analytics Officer at Horizon Blue Cross Blue Shield of New Jersey and his presentation 'How to Supercharge your Enterprise Data Strategy' on Thursday, July 7, 2022 from 12 PM - 1:30 PM ET! As enterprises are focusing more on their data as a strategic asset, the need for a comprehensive and complete data strategy is more important than ever. Enterprises need to understand where all their data is coming from, where it’s being stored and accessed, and have solid data governance processes in place. Join this presentation where Vijay Venkatesan, VP & Chief Analytics Officer at Horizon Blue Cross Blue Shield of New Jersey will discuss: why your enterprise data strategy needs to focus on data assets, the scope and role of data governance, the importance of identifying use cases, embedding AI capabilities as well as showcasing value to your stakeholders. Be sure to stick around for Q&A with Vijay!

Informatik Ausbildung, Lehrgänge,    Online Training, Webinare

Cognilytica

Enterprise Data & AI is hosting guest speakers Utsav Shah, Business Head, APAC & Europe at Shaip and Aravind Ganapathiraju, VP, Applied AI at Uniphore  and their presentation "Conversational AI – Revolutionizing the Information Age" on Thursday, July 14, 2022 from 12 PM - 1 PM ET! Conversational AI has made our day-to-day lives so much better and easier. As humans, we talk to one another using open-ended questions, but asking a colloquial question to a virtual assistant doesn’t sound like a smart thing to do. Yet, they come up with the right answer – every single time. How? Conversational AI is powering the future of modern technology and facilitating enhanced communication between humans and machines. When designing a seamless digital assistant that works effectively and accurately, you should also be aware of the many developmental challenges you might come across. Join this engaging session to learn about the benefits and challenges associated with conversational AI, how this technology is evolving and stick around till the end for Q&A with Utsav and Aravind!

Informatik Ausbildung, Lehrgänge,    Online Training, Webinare

Institute for Pure and Applied Mathematics (IPAM) at UCLA

As algorithmic decisions and likelihood predictions reach ever more deeply, and with increasing consequence, into our lives, there is an increasing mandate that they be “fair”. Who counts? Machine learning algorithms learn from training data; when these are biased so are the algorithms they produce. The workshop will examine sources of sex and gender bias in data, with emphases on impoverished women; women of color; trans and non-binary persons; and older women. This program is preceded by a Graduate Summer School on Algorithmic Fairness organized by Cynthia Dwork, and Guy Rothblum (Weizmann Institute of Science).

Cognilytica

AI in Government is excited to host Rushali Patil, Engagement Manager at Quantiphi and her presentation ‘Enhancing Constituent Engagement with Omnichannel Self-Service’ on Thursday, July 28, 2022 at 12PM ET! When the COVID-19 pandemic swept across the world in early 2020, it quickly overwhelmed many service-oriented government agencies. To meet unprecedented inquiries, update frequently changing guidelines, and boost resiliency for the future, state and local governments need an innovative way to modernize how they handle the inquiries and respond to the citizens. Join this presentation to learn how Quantiphi helped Illinois overcome the sudden challenges that the pandemic created and how they built three Rapid Response Virtual Agents on chat as well as telephony and how these virtual agents were trained and equipped to answer citizen queries, FAQs, and updated guidelines efficiently. Also, be sure to stick around till the end for Q&A with Rushali!

Informatik Ausbildung, Lehrgänge,    Online Training, Webinare

Cognilytica

AI in Government is hosting guest speaker Jeremy Golant, Government Solutions Consultant at Coursera presenting ‘Driving Data Literacy in the Public Sector’ on Wednesday, August 10, 2022 from 12 PM - 1 PM ET! As data becomes more seamlessly integrated within decision-making processes, public sector agencies must ensure individuals across the workforce can read, work with, and question data in the context of their role. Data literacy shouldn’t be mistaken for technical literacy, and it doesn’t necessarily include the skills and knowledge needed by a data scientist. Rather, data literacy is now increasingly recognized as a core workforce competency and something that public sector agencies need to pay attention to. In this webinar, we’ll explore the concept of data literacy, share the impact that a more data literate workforce can have on public sector agencies, and provide a roadmap for driving data skills development in your own organization. Be sure to stick around till the end for Q&A with Jeremy!

Informatik Ausbildung, Lehrgänge,    Online Training, Webinare

Cambridge Healthtech Institute

For over 20 years, the Bio-IT World Conference & Expo has been the world’s premier event showcasing the technologies and analytic approaches that solve problems, accelerate science, and drive the future of precision medicine. Bio-IT World has united a community of leading life sciences, pharmaceutical, clinical, healthcare, informatics, and technology experts in the fields of biomedical research, drug discovery & development, and healthcare from around the world. Since 2002, the Bio-IT World Conference & Expo has taken place annually in Boston and on 18-19 October, 2022, the event will host conversations that connect the people, ideas, and opportunities across Europe. Join your colleagues for updates from inspiring keynotes, more than 60 presentations across five tracks, and 2 days of interactive discussion and networking.

Tel.: [7812476254];     Email: ebell@healthtech.com

R&D IN PHARMA, AI FOR PHARMA, STORAGE INFRASTRUCTURE & CLOUD COMPUTING, DATA MANAGEMENT, BIOINFORMATICS,

Pharmakologie und Arzneimittelentwicklung,    Legislation in der Medizin und Pharmakologie

Cognilytica

The August 2022 AI in Government event featured guest speaker is Dr. Tamara Roust, Chief Data Officer at the US Commodity Futures Trading Commission and her presentation ‘The Difficulties and Limitations of Implementing AI at the CFTC and Beyond’ Thursday, August 25, 2022 from 11:30 AM - 1 PM ET! Most institutions necessarily institute artificial intelligence (AI) to solve individual use cases in their enterprise, a form of “first-generation AI”. A chess program, speech recognition, an algorithm to rapidly buy and sell financial products. These are straightforward applications of structured data problems. One of the chief difficulties is in getting understanding in the enterprise beyond these structured data cases, particularly in the domain of limited budgets. Once the “first generation AI” is implemented, successfully or not, the next step is more lateral movement – development of more standalone cases, rather than layering and refactoring to produce additional complexity, the neural nets and deep learning AI problem sets. Join this interactive session to learn some of the difficulties associated with implementing AI as well as the difficulties moving from “first generation” to “second generation” AI in order to achieve business process improvement by modifying data architecture to reflect how data is actually used.

Informatik Ausbildung, Lehrgänge,    Online Training, Webinare

Open Data Science Conference

The ODSC West in-person and virtual conference will feature expert-led, hands-on instruction in in-demand topics and tools, including: NLP | Python | Responsible AI | TensorFlow | PyTorch | Conversational AI | OpenAI | Cybersecurity | Data Visualization | scikit-learn | MLOps | Data Engineering | Machine Learning | and much more

You’ll also have the opportunity to dust off your social skills and reconnect with peers and colleagues during our networking and social events.

Email: iryna@odsc.com

Data Science, Artificial Intelligence, Machine Learnng

Open Data Science Conference (ODSC)

Accelerate AI, co-located with ODSC West 2022, brings together the top industry executives, managers, and CxOs to help you understand how AI and data science can transform your business including: - Healthcare, Insurance, Retail, Government, Education, Bio/Pharma, Media & Marketing, Transportation, Finance, Manufacturing, Energy & Utilities, E-commerce, and more.

Email: iryna@odsc.com

Data Science, Machine Learning, Artificial Intelligence

Institute for Pure and Applied Mathematics (IPAM)

For molecular systems we know the laws of physics to extreme precision. Yet, our ability to compute properties of these systems to numerical precision is very limited. This is mainly due to two sources of computational intractability: quantum mechanics and chaos. On one side, the accurate solution of the Schrödinger equation for large molecular systems is computationally prohibited. One the other side, even if we knew the forces exactly, the dynamical equations for the atoms would exhibit chaotic behaviour, which implies that, just as the weather, we have limited capacity to predict future trajectories. Some aspects of these systems remain predictable at a macroscopic scale, but they require completely different variables, such as pressure, temperature and entropy. We call this emergent theory thermodynamics.

In the completely different discipline of machine learning, a fairly similar phenomenon takes place. The microscopic variables of an image are given by its constituent pixel values. When we analyse the image with a deep neural network (DNN), we will detect edges in the first layer, corners in the next layer, then the object parts and finally, at the top of the neural network, entire objects. We understand the world at the “emergent” level of objects and their relations, not at the level of pixels and edges. In deep learning (DL) emergence happens automatically through learning and some inductive biases such as symmetries.

A major question we want to address in this workshop is whether we can apply the same learning paradigm to the field of molecular science to learn the correct emergent variables and dynamics.

Angewandte Mathematik (allgem.),    Simulation

UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)

A long-standing question in the neurobiology of learning is that of timescales. The brain can associate events that are separated by seconds, minutes, hours, days, weeks, or longer. Yet, the known biological mechanisms for inducing changes in the synaptic connections between neurons are driven by neural events that are separated by typically no more than a few tens or hundreds of milliseconds. This conference will convene scientists studying the molecular, cellular, and circuit-level mechanisms used by the brain to bridge the multiple timescales across which events play out in the experience of an individual. The goal will be to assemble an up-to-date understanding of the set of biological mechanisms available in the brain to support associative learning across different timescales. The conference's emphasis on biological mechanisms will complement and support the main program’s more computational focus, and encourage an integrated analysis of statistical learning spanning molecular, cellular, circuit, and behavioral-level phenomena.

Molekularbiologie,    Neurologie