James is Director of the Advanced Research Computing Centre at UCL. In this episode he talks about the practical application of data intensive research; what does NLP mean to a historian, now able to read every book written in the 19th century at once?

James is looking to expand his team. If ARCC sounds like the place for you head to: https://microsites.harveynash.co.uk/ucl/home

Also - GO CHECK OUT THE TECH WOMEN 100 (we implore you): https://wearetechwomen.com/techwomen100-awards-full-shortlist-2021/

James Hetherington discusses the need to be both 'the craftsperson and the scholar'.

Sadie St. Lawrence talks in-depth about her extensive work as a data science educator through both online and collegiate courses as well as her organization for diversifying data science careers.

In this episode you will learn:
• Sadie’s education work in SQL [4:13]
• The popularity of Sadie’s course [13:32]
• Sadie’s forthcoming machine learning certificate course [16:29]
• Women in Data [25:32]
• Sadie’s non-technical background [36:17]
• NFTs and VR [46:41]

Additional materials: www.superdatascience.com/517

The Super Data Science Podcast: Machine Learning | AI | Success

SDS 517: Courses in Data Science and Machine Learning

Norbert Wiener, a foundational force in cybernetics and information theory, often used the allegory of the Golem to represent the ethical complexities inherent in machine learning. Recent advances in the field of reinforcement learning (RL) deal explicitly with problems laid out by Wiener’s earlier writings, including the importance of games as learning environments for the development of AI agents. This talk explores issues from contemporary machine learning that express Wiener’s prescient notion of developing a “significant game” between creator and machine.

▶️ Video of Lecture

Avery Slater, The Golem and the Game of Automation (Ethics of AI in Context)

Lepší názov ma nenapadá

Will you age quickly or slowly? Is it possible to predict how long you will live based on your genetics, lifestyle and other traits? In a new study, a team of researchers—from the National Institutes of Health’s National Institute on Aging, University of California San Diego, University of Michigan, Consiglio Nazionale delle Ricerche, Azienda Sanitaria di Firenze, and ViQi, Inc.—sought to answer these questions by developing a novel framework designed to estimate human physiological age and aging rate. Their trending paper was published by Aging (Aging-US) in October 2021, and entitled, “Predicting physiological aging rates from a range of quantitative traits using machine learning”.

“We present machine learning as a promising framework for measuring physiological age from broad-ranging physiological, cognitive, and molecular traits.”

Full blog - https://www.mishablagosklonny.com/2021/11/05/trending-with-impact-machine-learning-predicts-human-aging/

Sign up for free Altmetric alerts about this article - https://oncotarget.altmetric.com/details/email_updates?id=10.18632%2Foncotarget.203660

DOI - https://doi.org/10.18632/aging.203660

Full Text - https://www.aging-us.com/article/203660/text

Correspondence to: Luigi Ferrucci email: ferruccilu@grc.nia.nih.gov, David Schlessinger email: schlessingerd@grc.nia.nih.gov, Ilya Goldberg email: ilya@viqi.org and Jun Ding email: jun.ding@nih.gov

Keywords: physiological aging rate, quantitative trait, machine learning, aging clock, mortality, personalized medicine

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at http://www.Aging-US.com​​ or connect with us on:

SoundCloud - https://soundcloud.com/aging-us​
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging​
Pinterest - https://www.pinterest.com/AgingUS/

Aging-US is published by Impact Journals, LLC please visit http://www.ImpactJournals.com​​ or connect with @ImpactJrnls

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Aging (Aging-US)

Trending With Impact: Machine Learning Predicts Human Aging

In this episode, digital artist Eric Drass (@Shardcore)chats to us about reality bending through art, co-creating with machine learning, culture, NFTs, whether Twitter is a game – and more. Check out shardcore.org and artoffury.com, and chat to us on twitter @artoffurypod about anything this episode stirs up for you.

Episode 5:  The AI of the beholder, with Eric Drass

Either the majority of ML models do not manage to be integrated into a software product, or the model deployment takes too much time. We have identified several reasons that explain this problem. Read the article - https://thecustomizewindows.com/2021/11/mlops-lifecycle-and-evaluation-of-model-performance/

MLOps Lifecycle and Evaluation of Model Performance

Наш гость – директор по развитию технологий ИИ в Яндексе, Александр Крайнов.

В этом выпуске вы узнаете, как попасть в Яндекс ответив “нет” Илье Сегаловичу, нужен ли человеческий контроль машинному обучению и каково это чувствовать себя руководителем в компании, определяющей судьбы людей.

Пятая открытая конференция по искусственному интеллекту OpenTalks.AI-2022:
https://clck.ru/YmYFC – Билеты по специальные условиям Christmas Time! только до 31.12

Центр компетенций НТИ по направлению «Искусственный интеллект» на базе МФТИ:
https://ai.mipt.ru/

Альманах "Искусственный интеллект":
https://clck.ru/YmYEq — Читайте новый выпуск "Аппаратное обеспечение для ИИ"!

Телеграм-чат OpenTalks.AI – присоединяйтесь к комьюнити осмысленных людей из мира ИИ!
https://t.me/joinchat/Si8SIUMImaVtW_u7

Ежедневный дайджест новостей искусственного интеллекта:
https://t.me/joinchat/UqFWakgph4Xi396y

Карта искусственного интеллекта России:
http://airussia.online/

Александр Крайнов – путь к ML, как попал в Яндекс и почему не хочет быть боссом | Диалоги об ИИ #8

In our Business & Decision Expert Podcast, we strive to answer questions in the domain of Data & Digital. For this episode, we will deep dive into the Artificial Intelligence, Machine Learning and their used in guiding the mitigation of epidemics.

What we will discuss in this podcast episode:

- What kind of data is captured and how are they collected?
- What are the predictions made by Artificial Intelligence with regard to pandemics?
- What are the Machine Learning techniques used to fit with this data?
- Would it be possible to use Machine Learning to prevent the next pandemics?


Gerrit Denayer, Business & Decision Marketing Director, received Pieter Libin, Professor at the AI lab of the Vrije Universiteit Brussel, to cover this topic

EP 11 - Artificial Intelligence to better protect us in times of pandemics

Sophia is a Data Scientist and currently works at Sky in a senior position. She's moved from academia, to startups to enterprise, and we ask her why? Data Science remains under huge pressure (from a lack of talent), and today's episode contains plenty of insight into how these professionals tick!

"You kind of want to learn about this as a data scientist".

A podcast curious about the place where art and videogames overlap. Part of Raw Fury's Art of Fury project.

The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. 

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.

A twice-monthly, traditional, peer-reviewed journal with open-access, covering all areas of research on aging, including age-related diseases, such as cancer —and also with a special focus on COVID-19 vulnerability as an age-dependent syndrome.

The awarding-winning technology leadership podcast, exploring the views of leaders and organisations across the sector. Now in our 6th year! Powered by the Harvey Nash Group.

https://www.harveynashgroup.com/news-analysis

A selection of interviews and talks exploring the normative dimensions of AI and related technologies in individual and public life, brought to you by the interdisciplinary Ethics of AI Lab at the Centre for Ethics, University of Toronto.

Business & Decision, part of Orange Group, is one of the world's leading management consultancies and system integrators for Data Intelligence & Digital Experience.

We are Data Native Artists who leverage a unique combination of technical, functional and industry specialization, as well as partnerships with key software vendors, to deliver state of the art solutions since 1992.

As a front runner in Big Data, Artificial Intelligence and Digital, Business & Decision is enabling customers to innovate, drive their business strategy and improve customer experience through effective use of data.

Clients choose Business & Decision as their strategic Data & Digital partner due to our pioneering vision, expertise, core values, quality of service & our passion for delivery. 

Find out more on how we can help you with your projects on www.businessdecision.com

New tracks tagged #machinelearning