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By Anywhere Club
The podcast currently has 29 episodes available.
๐ Course: "AI-supported software engineering": https://epa.ms/ai-swe
๐ Course: "AI-Supported Testing": https://epa.ms/ai-aqa
๐ Course: "Prompt Engineering Foundations": https://epa.ms/ai-pef
๐ Join the EngX: https://epa.ms/engx-club
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How AI is Revolutionizing Cancer Research and Treatment? In this episode of the ZuriAI podcast, we explore how AI is transforming the prediction, diagnosis, and treatment of cancer. Artem Shmatko, a doctoral student and ML researcher at the German Cancer Research Center, explains AIโs growing influence in oncology.
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We discuss:
What cancer is and why itโs challenging to prevent and diagnose
How AI is impacting drug discovery
Medical data aspects and limitations
The role of computer vision in histopathology
Challenges related to data management and patient privacy
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NAVIGATION
0:00 Start
0:43 EngX
1:20 Meet our expert, Artem Shmatko
1:49 What is cancer? Complexity and diversity of cancers.
6:52 Why is it so difficult? Challenges of preventing cancer
10:17 How AI is becoming a pivotal tool in cancer prevention and treatment strategies.
12:40 MRI as a prevention technique.
14:38 The role of AI as a decision-support system in clinical settings.
22:01 AI in drug discovery. Transforming cancer treatment pipelines.
26:42 AI-powered recommendation systems for defining focus groups in clinical trials.
28:14 The complexities of data ingestion and collection in cancer research.
30:39 Handling patient-sensitive data: The ethical and technical challenges.
34:13 Certification and regulation in AI-driven oncology.
36:24 How computer vision and histopathology diagnostics are being redefined by AI.
38:27 The importance of image size and resolution in cancer diagnostics.
41:44 Discussing the potential of 100k*100k pixel resolution in medical imaging.
43:05 The technical limitations in cancer detection using computer vision.
46:03 Multiple instance learning
49:27 Data challenges in AI-driven oncology.
53:35 The role of open-source platforms in advancing medical AI.
57:26 Forecasting the impact of AI on the future of cancer prevention and diagnostics.
1:00:35 What industry challenges can AI overcome in oncology?
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LINKS FROM THE EPISODE
๐น AI's Evolution in Music/ ZuriAI #1: https://www.youtube.com/watch?v=KRJV-1Y61SM
๐น What is cancer: https://www.cancer.gov/about-cancer/understanding/what-is-cancer
๐น Classification of brain tumours: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328013/
๐น AI based solutions for determination of cell origin: https://www.nature.com/articles/s41586-021-03512-4
๐น On diagnosing cancer using blood samples: https://doi.org/10.1093/nar/gkz942
๐น Content-Based Image Retrieval (CBIR) for histological images: https://doi.org/10.1016/j.media.2020.101757
๐น Automating drug discovery: https://doi.org/10.1038/nrd.2017.232
๐นAI for computational histopathology: https://www.nature.com/articles/s43018-022-00436-4
๐น Pretrained feature extractors for Multiple Instance Learning (MIL) pipelines: https://www.nature.com/articles/s41591-024-02857-3
๐น https://www.nature.com/articles/s41586-024-07441-w
๐น Predicting DNA mutations from histological images: https://www.nature.com/articles/s43018-020-0085-8
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WHERE TO WATCH US AND LISTEN
๐ธ YouTube: https://youtu.be/XreqENCkpqE
๐ธ Google Podcasts: https://bit.ly/awclub-en-google
๐ธ Apple Podcasts: https://bit.ly/awclub-en-apple
๐ธ Spotify: https://bit.ly/awclub-en-spotify
๐ธ Download mp3: https://anywhereclub.simplecast.com/episodes/30
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#awclub #engx #ai #oncology
๐ Join the: https://epa.ms/engx-club
๐ Course: "AI-supported software engineering": https://epa.ms/ai-swe
๐ Course: "AI-Supported Testing": https://epa.ms/ai-aqa
๐ Course: "Prompt Engineering Foundations": https://epa.ms/ai-pef
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Check out this episode where a JavaScript Frontend Engineer goes through a job interview. Join us as Shakhzod Khodjaev, our candidate, faces some programming challenges and answers questions from our interviewer, Viktor Soroka.
At the end, both the interviewer and interviewee share their honest thoughts about how it all went. Theyโll talk about areas that could be improved and point out some helpful resources suggested by our EngX community leader, Roman Zatitskii, like "AI-supported Software Engineering" and "AI-supported Testing," to boost your AI knowledge.
This episode is a great way to see a technical interview in actionโdonโt miss it!
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NAVIGATION
00:00 Intro
01:55 Introduction of participant
03:01 Theoretical part 1
43:17 Practical task: Event Loop
48:25 Theoretical part 2
52:20 AI prompt engineering
56:44 ENGX courses announcement
59:36 Critical thinking task
1:22:30 GenAI adoption program for engineering teams
1:24:20 Feedback session
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WHERE TO WATCH US AND LISTEN
๐ธ YouTube: https://youtu.be/-5XD9OH4w-4
๐ธ Google Podcasts: https://bit.ly/awclub-en-google
๐ธ Apple Podcasts: https://bit.ly/awclub-en-apple
๐ธ Spotify: https://bit.ly/awclub-en-spotify
๐ธ Download mp3: https://anywhereclub.simplecast.com/episodes/29
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#awclub #engx #mockinterview
Unlock the key to better collaboration between Product Managers and Developers. Learn the importance of Product Discovery, how AI can boost it, and quick tips to validate ideas. Get actionable insights to become a more product-focused developer!
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NAVIGATION
0:00 Start
0:53 What common misconceptions might developers have about this role?
1:45 How does thinking in terms of value help bridge the gap between Product Managers and Tech Teams?
2:38 Can you give concrete examples of misconceptions?
3:08 What is Product Discovery, and why is it crucial to perform it alongside product delivery?
4:16 How can developers benefit from understanding this process?
5:08 Why is Product Discovery so important?
6:30 Why should Product Discovery be done using AI?
7:32 How can developers help test product ideas without fully building them? What techniques are used to validate hypotheses effectively?
9:03 What are the best practices for Product Managers and development teams to communicate and collaborate effectively?
10:13 How can a developer be more product-focused?
11:05 How to practice?
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COURSES BY ENGX
๐ AI-supported Software Engineering: https://epa.ms/106cIb
๐ Prompt Engineering Foundations: https://epa.ms/ZQNYn
๐ AI Supported testing: https://epa.ms/1DjKEP
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WHERE TO WATCH US AND LISTEN
๐ธ YouTube: https://youtu.be/b6Xla-jjoyE
๐ธ Apple Podcasts: https://bit.ly/awclub-en-apple
๐ธ Spotify: https://bit.ly/awclub-en-spotify
๐ธ Download mp3: https://anywhereclub.simplecast.com/episodes/28
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#awclub #engx #productmanagement
๐ Get Access to the Anywhere Club: https://bit.ly/awclub-en
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Welcome to our new podcast "ZuriAI": where together with our host Zura Seferbekova we are diving deep into the world of AI across industries! In the first episode, we'll be exploring the synergy between AI and music.
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Did you know Mozart dabbled in primitive AI in some of his performances? We delve into the intersection of AI and creativity, examining how generative music challenges our perception of what art is. We delve into how recording technology and pioneering AI applications are reshaping music, exploring AI's impact on emotional connections and immersive musical experiences, while reflecting on the evolution sparked by past technological breakthroughs.
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NAVIGATION
00:00 - Mozart case, musical dice description
01:17 - aw.club
02:00 - Topic and guest introduction
02:25 - Whatโs music, should music be repetitive?
05:19 - How music is described and analyzed?
06:48 - 1st approach: Top-down
07:10 - 2nd approach: Recording - Bottom-up approach
10:24 - Comparison of 2 models trained based on different approaches
16:24 - How music changed after recording?
24:08 - First application of AI in Music
29:52 - How does Shazam work
34:07 - How to differentiate AI music?
40:05 - Suno.ai and other apps
43:01 - Functional sound: Music for sleep or concentration
44:39 - Guess Endel mode sound
45:05 - Emotional connection to music
52:16 - Future of open source in music
55:01 - Agent AI musicians and stamps extraction
1:00:02 - Autotune analogy
1:06:52 - Future of the music industry
1:12:49 - 3 AI tools for musicians
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WHERE TO WATCH US AND LISTEN
๐ธ YouTube: https://youtu.be/KRJV-1Y61SM
๐ธ Google Podcasts: https://bit.ly/awclub-en-google
๐ธ Apple Podcasts: https://bit.ly/awclub-en-apple
๐ธ Spotify: https://bit.ly/awclub-en-spotify
๐ธ Download mp3: https://anywhereclub.simplecast.com/episodes/zap-1
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LINKS FROM THE EPISODE
๐น Des Hristov: https://www.linkedin.com/in/desislav-hristov
๐น Background audio track from Endel: https://endel.io
๐น AI generated Mathcore: https://twitter.com/ezrasandzer/status/1761278728523382964
๐น Drake: https://www.youtube.com/watch?v=YWORhOr2PoE
๐น @andrewhuang: https://www.youtube.com/watch?v=tR32h5jhPtU
๐น Lalala - stem separation: https://www.lalal.ai/
๐น MusicLM: Generating Music From Text: https://google-research.github.io/seanet/musiclm/examples/
๐น Google AI test kitchen link + dataset: https://aitestkitchen.withgoogle.com/
๐น https://www.kaggle.com/datasets/googleai/musiccaps
๐น Goyo: https://goyo.app/
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ANYWHERE CLUB ON THE INTERNET
๐ธ Web: https://bit.ly/awclub-en
๐ธ Discord: https://epa.ms/acd
๐ธ Instagram: https://instagram.com/anywhere_club
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#awclub #ai #music
This week in AI news: the Open Interpreter Project has unveiled their new O1 Light device, which allows users to control their computers through an AI assistant. The company is known for creating the largest open-source project for running various LLMs locally. Apple researchers have introduced "ReALM," a new AI system capable of understanding screen tasks, conversation context, and background processes, potentially surpassing GPT-3.5 and even GPT-4. Meanwhile, OpenAI has presented a preliminary version of Voice Engine, a model that can clone human voices from a 15-second audio sample and generate natural speech, preserving the original speaker's accent and emotions.
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This episode was made by Anywhere Club blog article: https://aw.club/global/en/blog/first-open-source-ai-device-ai-digest-18. Join the tech conversation at https://aw.club, become a member, and stay informed!
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WHERE TO WATCH US AND LISTEN
๐ธ YouTube: https://youtu.be/w1SofIuqK7Q
๐ธ Google Podcasts: https://bit.ly/awclub-en-google
๐ธ Apple Podcasts: https://bit.ly/awclub-en-apple
๐ธ Spotify: https://bit.ly/awclub-en-spotify
๐ธ Download mp3: https://anywhereclub.simplecast.com/episodes/mhlp-3
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ANYWHERE CLUB ON THE INTERNET
๐ธ Web: https://bit.ly/awclub-en
๐ธ AI Catalog: https://awclub.github.io/catalog/
๐ธ Discord: https://epa.ms/acd
๐ธ Instagram: https://instagram.com/anywhere_club
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#awclub #anywhereclub #mhlp
Get ready for a mind-blowing AI update! This week NVIDIA unveiled its monstrous new AI superchip, Midjourney dropped a game-changing feature for consistent characters, and Apple made a huge move to bring advanced AI directly to your iPhone. We're breaking down all the big announcements from NVIDIA's GTC 2024, Midjourney's latest upgrade, and what Apple's secret acquisition could mean for your future tech. Buckle up โ the future of AI is happening NOW!
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This episode was made by Anywhere Club blog article: https://aw.club/global/en/blog/nvidia-s-gtc-2024-midjourney-s-new-trick. Join the tech conversation at https://aw.club, become a member, and stay informed!
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WHERE TO WATCH US AND LISTEN
๐ธ YouTube: https://youtu.be/hUdtR7AEHos
๐ธ Google Podcasts: https://bit.ly/awclub-en-google
๐ธ Apple Podcasts: https://bit.ly/awclub-en-apple
๐ธ Spotify: https://bit.ly/awclub-en-spotify
๐ธ Download mp3: https://anywhereclub.simplecast.com/episodes/mhlp-2
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ANYWHERE CLUB ON THE INTERNET
๐ธ Web: https://bit.ly/awclub-en
๐ธ AI Catalog: https://awclub.github.io/catalog/
๐ธ Discord: https://epa.ms/acd
๐ธ Instagram: https://instagram.com/anywhere_club
Dive deeper into the world of AI with our new podcast! This pilot episode explores the Inflection 2.5 model's potential, the OpenAI leadership shakeup, and the terrifying possibilities of weaponized drones. ย
We base our discussion on the insightful Anywhere Club article: https://aw.club/global/en/blog/new-competitor-for-gpt-4-and-stalker-drones. Join the tech conversation at https://aw.club, become a member, and stay informed!
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WHERE TO WATCH US AND LISTEN
๐ธ YouTube: https://youtu.be/iF68Lt0foms
๐ธ Google Podcasts: https://bit.ly/awclub-en-google
๐ธ Apple Podcasts: https://bit.ly/awclub-en-apple
๐ธ Spotify: https://bit.ly/awclub-en-spotify
๐ธ Download mp3: https://anywhereclub.simplecast.com/episodes/ainr-0
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LINKS FROM THE EPISODE
๐น Inflection-2.5: https://inflection.ai/inflection-2-5
๐น AI Drones: https://twitter.com/luiswenus/status/1763979699045253359
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ANYWHERE CLUB ON THE INTERNET
๐ธ Web: https://bit.ly/awclub-en
๐ธ AI Catalog: https://awclub.github.io/catalog/
๐ธ Discord: https://epa.ms/acd
๐ธ Instagram: https://instagram.com/anywhere_club
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#awclub #anywhereclub #aipodcast
๐ Get Access to the Anywhere Club: https://bit.ly/awclub-en
Hear from Data Science, Computer Vision and AI Champion Zura Seferbekova for a deep-dive into the misconceptions, challenges and often untrue assumptions about AI. Zura reminds our host, Chris Howard, that AI tooling remains built on complex mathematical models and probability matrices, and shares her thoughts on the role of regulation and community in building responsible AI tools for the future.
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NAVIGATION
00:00 Introduction
01:48 Setting the Scene on AI's Challenges & Myths
09:40 A Human Perception of AI
10:39 Explainability in AI
15:17 Is a Fully open-sourced AI the Future?
21:14 AI - Is it Enhancing or Eliminating IT roles?
29:01 A Summary of AI
29:57 Wrap-up
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WHERE TO WATCH US AND LISTEN
๐ธ YouTube: https://youtu.be/bxLFHRcWBjc
๐ธ Google Podcasts: https://bit.ly/awclub-en-google
๐ธ Apple Podcasts: https://bit.ly/awclub-en-apple
๐ธ Spotify: https://bit.ly/awclub-en-spotify
๐ธ Download mp3: https://anywhereclub.simplecast.com/episodes/22
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LINKS FROM THE EPISODE
๐น Zura on Linkedin: https://www.linkedin.com/in/zura-seferbekova-aa8814113/
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ANYWHERE CLUB ON INTERNET
๐ธ Web: https://bit.ly/awclub-en
๐ธ Discord: https://epa.ms/acd
๐ธ Instagram: https://instagram.com/anywhere_club
๐ Be part of Anywhere Club: https://bit.ly/awclub-en
In this interview, we hear from Vitalii Vashchuk, Head of Gaming Solutions at EPAM talking about the very latest tech, solutions, and infrastructure involved in gaming at scale and the role of communities. Vitalii shares fantastic insights into how you too can get started with a career in gaming; and what skills, languages, and competencies are in demand. Chris Howard, Community Host, also has the chance to grill Vitalii on his favorite Fortnite skin and what super-power he'd take advantage of when playing online.
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LINKS FROM THE EPISODE
๐นVitalii's LinkedIn: https://www.linkedin.com/in/vashchukvitalii
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NAVIGATION
00:00 Introduction
02:12 Vitalii's Career Journey
03:40 Groundbreaking Projects & Milestones
06:30 What is the role "Head of Gaming Solutions"?
09:35 Fornite - Gaming at Scale
12:35 Community Building through Gaming
13:48 Skills & Competencies for a Career in Gaming
15:53 Programming Languages
18:22 Soft Skills for Technologists
20:52 AI, Emerging Tech & Gaming
23:35 The Rise of eSports
25:49 Future Trends in Gaming Solutions
29:55 Quick-Fire Round
32:00 Wrap-up
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WHERE TO WATCH US AND LISTEN
๐ธ YouTube: https://youtu.be/wycZDewUi-8
๐ธ Google Podcasts: https://bit.ly/awclub-en-google
๐ธ Apple Podcasts: https://bit.ly/awclub-en-apple
๐ธ Spotify: https://bit.ly/awclub-en-spotify
๐ธ Download mp3: https://anywhereclub.simplecast.com/episodes/21
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ANYWHERE CLUB ON INTERNET
๐ธ Web: https://bit.ly/awclub-en
๐ธ Discord: https://epa.ms/acd
๐ธ Instagram: https://instagram.com/anywhere_club
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#awclub #gaming #tech
๐ Get Access to the Anywhere Club: https://bit.ly/awclub-en
In this episode Chris Howard is joined by data science and computer vision expert Zura Seferbekova for an in din-depthepth interview into her professional journey, recommendations for those starting out in the field and a few tips on tooling.
Zura has a background in Business Analysis and Product Management, with over 6 years of commitment to various Machine Learning projects, focusing specifically on computer vision and recommendation systems. She also shares her own expertise to give an overview of machine learning as well as how advances in AI are furthering the field of data science.
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NAVIGATION
00:00 Introduction & Welcome by Chris Howard
01:20 Zura's Background
01:52 Career Pathway into Data Science
05:21 Data Science Tooling & Skills
09:37 Introduction to Computer Vision
17:40 Classical vs Generative Machine Learning
24:23 Advances & Applications of AI
31:40 Final Thoughts
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WHERE TO WATCH US AND LISTEN
๐ธ YouTube: https://youtu.be/52SrhF_-ok0
๐ธ Google Podcasts: https://bit.ly/awclub-en-google
๐ธ Apple Podcasts: https://bit.ly/awclub-en-apple
๐ธ Spotify: https://bit.ly/awclub-en-spotify
๐ธ Download mp3: https://anywhereclub.simplecast.com/episodes/20
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LINKS FROM THE EPISODE
๐น Zura on Linkedin: https://www.linkedin.com/in/zura-seferbekova-aa8814113/
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ANYWHERE CLUB ON INTERNET
๐ธ Web: https://bit.ly/awclub-en
๐ธ Discord: https://epa.ms/acd
๐ธ Instagram: https://instagram.com/anywhere_club
The podcast currently has 29 episodes available.