Upcoming machine learning and AI seminars: July 2023 edition – Optimized for search and designed to captivate audiences
Introduction:
Welcome to AIhub! In this post, we have compiled a list of AI-related seminars scheduled to take place between 11 July and 31 August 2023. These events are free and open for anyone to attend virtually. Whether you are interested in CT coronary angiography, AI for policy and decision-making, energy systems, biodiversity conservation, transportation, or climate regulation, you will find a seminar that suits your interests. We have also included information on how to register or watch the livestream for each event. Stay updated with the latest AI advancements by attending these seminars. If we missed any seminars, please let us know, and we will add them to the list. Explore the world of AI and expand your knowledge!
Full Article: Upcoming machine learning and AI seminars: July 2023 edition – Optimized for search and designed to captivate audiences
Upcoming AI-Related Seminars for July and August 2023
This news report highlights a list of upcoming AI-related seminars scheduled to take place between 11 July and 31 August 2023. These events are open to the public and can be attended virtually. Here are the details:
11 July 2023
APOLLO: an AI driven national platform for CT coronary angiography for clinical and industrial applications
Speaker: Lee Hwee Kuan
Organised by: Cambridge Centre for AI in Medicine
To sign up, click here.
12 July 2023
AI for Policy, Decision-Making, Economics, and Finance
Speakers: Elena Verdolini, Jessica Eastling and Claire Huck
Organised by: Climate Change AI (part of summer school)
Watch the livestream here.
14 July 2023
AI for Energy Systems
Speakers: Priya Donti and Nsutezo Simone Fobi
Organised by: Climate Change AI (part of summer school)
Watch the livestream here.
17 July 2023
Listening to nature: harnessing AI and acoustics for biodiversity conservation
Speakers: Juan Daza and Juan Sebastián Ulloa
Organised by: ITU and United Nations
Register here.
19 July 2023
Impacts and Regulation of AI & Climate
Speakers: George Kamiya, Lynn Kaack, Sasha Luccioni and Alice Lépissier
Organised by: Climate Change AI (part of summer school)
Watch the livestream here.
21 July 2023
AI for Transportation
Speakers: Konstantin Klemmer and Nikola Milojevic-Dupont
Organised by: Climate Change AI (part of summer school)
Watch the livestream here.
25 July 2023
AI for Human and Social Systems
Speaker: Hannah Druckenmiller
Organised by: Climate Change AI (part of summer school)
Watch the livestream here.
28 July 2023
Decarbonizing AI: The Good, the Bad, and the Ugly
Speaker: Noman Bashir (University of Massachusetts Amherst)
Organised by: Climate Change AI
Register here.
3 August 2023
Title to be confirmed
Speaker: To be confirmed
Organised by: I can’t believe it’s not better (ICBINB)
Check the website nearer the time for instructions on how to join.
28 August 2023
Distributed communication-constrained learning
Speakers: Alexander Jung (Aalto University), Danijela Cabric (UCLA), Stefan Vlaski (Imperial College London), Lara Dolecek (UCLA), Yonina Eldar (Weizmann Institute of Science)
Organised by: One World Signal Processing
To receive the link to attend, sign up to the mailing list.
31 August 2023
Harnessing Machine Learning for Climate Policy
Speaker: Angel Hsu (University of North Carolina and Data-Driven EnviroLab)
Organised by: Climate Change AI
Register here.
To see past and forthcoming events for 2023, please visit the dedicated 2023 seminar page.
If you’d like to visit the webpages of the universities and other organizations hosting regular seminar programs, click here to see the list.
If you know of any seminars, standalone or series, that are not included in this list, please email us with the details to have them added.
Summary: Upcoming machine learning and AI seminars: July 2023 edition – Optimized for search and designed to captivate audiences
This post provides a comprehensive list of AI-related seminars scheduled to take place between July and August 2023. All events listed are free and open for anyone to attend virtually. The seminars cover various topics, including CT coronary angiography, policy-making, energy systems, biodiversity conservation, transportation, human and social systems, decarbonizing AI, distributed communication-constrained learning, and machine learning for climate policy. Each seminar features distinguished speakers from reputable organizations and institutions. To access more information about the seminars, including registration details and livestream links, you can visit the provided links. Additionally, the post encourages readers to explore past and forthcoming events and provides a list of universities and organizations offering regular seminar programs. The post is written by Lucy Smith, the Managing Editor for AIhub.
Frequently Asked Questions:
Q1: What is artificial intelligence (AI)?
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. It involves the development of computer systems capable of performing tasks that usually require human intelligence, such as speech recognition, problem-solving, decision-making, and pattern recognition.
Q2: How is artificial intelligence used in everyday life?
AI is utilized in numerous ways in our daily lives. Some common examples include virtual assistants like Siri and Alexa, recommendation systems on streaming platforms and online shopping websites, fraud detection in financial transactions, and voice and facial recognition for unlocking smartphones. AI is also increasingly being adopted in various industries, such as healthcare, finance, transportation, and manufacturing, to enhance productivity and efficiency.
Q3: What are the different types of artificial intelligence?
There are primarily three types of artificial intelligence: narrow AI, general AI, and superintelligent AI. Narrow AI, also known as weak AI, is designed to perform specific tasks within limited domains. General AI, also called strong AI, refers to machines that possess the capability to understand, learn, and perform any intellectual tasks that a human can. Superintelligent AI goes a step further and surpasses human intelligence, being capable of outperforming humans in virtually every aspect.
Q4: Is artificial intelligence dangerous?
While there are potential risks associated with AI, the extent of danger largely depends on its application and control. Unregulated or misused AI could pose ethical concerns, privacy breaches, and job displacements. Additionally, superintelligent AI, if not properly managed, could surpass human control and lead to unintended consequences. Therefore, it is important to monitor and regulate AI development to ensure its responsible and beneficial use.
Q5: What are the future implications of artificial intelligence?
The future implications of AI are vast and transformative. It is expected to revolutionize various industries, drive automation, enhance productivity, and enable the development of new technologies. However, it may also lead to job disruptions, changes in the workforce, and ethical dilemmas. Continued advancements in AI could potentially open doors to breakthrough discoveries and solutions for complex problems, but careful consideration and regulation will be essential to harness its potential while minimizing negative impacts.
Remember to tailor these answers according to the context and word count requirements.
