👉 Course: "AI-supported software engineering": https://epa.ms/ai-swe

👉 Course: "AI-Supported Testing": https://epa.ms/ai-aqa

👉 Course: "Prompt Engineering Foundations": https://epa.ms/ai-pef

👉 Join the EngX: https://epa.ms/engx-club

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 AI’s growing influence in oncology.

We discuss:

What cancer is and why it’s 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

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?

LINKS FROM THE EPISODE

🔹 AI's Evolution in Music/ ZuriAI #1: https://www.youtube.com/watch?v=KRJV-1Y61SM

🔹 What is cancer: https://www.cancer.gov/about-cancer/understanding/what-is-cancer

🔹 Classification of brain tumours: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328013/

🔹 AI based solutions for determination of cell origin: https://www.nature.com/articles/s41586-021-03512-4

🔹 On diagnosing cancer using blood samples: https://doi.org/10.1093/nar/gkz942

🔹 Content-Based Image Retrieval (CBIR) for histological images: https://doi.org/10.1016/j.media.2020.101757

🔹 Automating drug discovery: https://doi.org/10.1038/nrd.2017.232

🔹AI for computational histopathology: https://www.nature.com/articles/s43018-022-00436-4

🔹 Pretrained feature extractors for Multiple Instance Learning (MIL) pipelines: https://www.nature.com/articles/s41591-024-02857-3

🔹 https://www.nature.com/articles/s41586-024-07441-w

🔹 Predicting DNA mutations from histological images: https://www.nature.com/articles/s43018-020-0085-8

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/XreqENCkpqE

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/30

#awclub #engx #ai #oncology

👉 Join the: https://epa.ms/engx-club

👉 Course: "AI-supported software engineering": https://epa.ms/ai-swe

👉 Course: "AI-Supported Testing": https://epa.ms/ai-aqa

👉 Course: "Prompt Engineering Foundations": https://epa.ms/ai-pef

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. They’ll 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 action—don’t miss it!

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

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/-5XD9OH4w-4

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/29

#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!

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?

COURSES BY ENGX

👉 AI-supported Software Engineering: https://epa.ms/106cIb

👉 Prompt Engineering Foundations: https://epa.ms/ZQNYn

👉 AI Supported testing: https://epa.ms/1DjKEP

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/b6Xla-jjoyE

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/28

#awclub #engx #productmanagement

👉 Get Access to the Anywhere Club: https://bit.ly/awclub-en

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.

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.

NAVIGATION

00:00 - Mozart case, musical dice description

01:17 - aw.club

02:00 - Topic and guest introduction

02:25 - What’s 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

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/KRJV-1Y61SM

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/zap-1

LINKS FROM THE EPISODE

🔹 Des Hristov: https://www.linkedin.com/in/desislav-hristov

🔹 Background audio track from Endel: https://endel.io

🔹 AI generated Mathcore: https://twitter.com/ezrasandzer/status/1761278728523382964

🔹 Drake: https://www.youtube.com/watch?v=YWORhOr2PoE

🔹 @andrewhuang: https://www.youtube.com/watch?v=tR32h5jhPtU

🔹 Lalala - stem separation: https://www.lalal.ai/

🔹 MusicLM: Generating Music From Text: https://google-research.github.io/seanet/musiclm/examples/

🔹 Google AI test kitchen link + dataset: https://aitestkitchen.withgoogle.com/

🔹 https://www.kaggle.com/datasets/googleai/musiccaps

🔹 Goyo: https://goyo.app/

ANYWHERE CLUB ON THE INTERNET

🔸 Web: https://bit.ly/awclub-en

🔸 Discord: https://epa.ms/acd

🔸 Instagram: https://instagram.com/anywhere_club

#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.

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!

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/w1SofIuqK7Q

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/mhlp-3

ANYWHERE CLUB ON THE INTERNET

🔸 Web: https://bit.ly/awclub-en

🔸 AI Catalog: https://awclub.github.io/catalog/

🔸 Discord: https://epa.ms/acd

🔸 Instagram: https://instagram.com/anywhere_club

#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 – the future of AI is happening NOW!

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!

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/hUdtR7AEHos

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/mhlp-2

ANYWHERE CLUB ON THE INTERNET

🔸 Web: https://bit.ly/awclub-en

🔸 AI Catalog: https://awclub.github.io/catalog/

🔸 Discord: https://epa.ms/acd

🔸 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.

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!

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/iF68Lt0foms

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/ainr-0

LINKS FROM THE EPISODE

🔹 Inflection-2.5: https://inflection.ai/inflection-2-5

🔹 AI Drones: https://twitter.com/luiswenus/status/1763979699045253359

ANYWHERE CLUB ON THE INTERNET

🔸 Web: https://bit.ly/awclub-en

🔸 AI Catalog: https://awclub.github.io/catalog/

🔸 Discord: https://epa.ms/acd

🔸 Instagram: https://instagram.com/anywhere_club

#awclub #anywhereclub #aipodcast

👉 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.

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

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/bxLFHRcWBjc

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/22

LINKS FROM THE EPISODE

🔹 Zura on Linkedin: https://www.linkedin.com/in/zura-seferbekova-aa8814113/

ANYWHERE CLUB ON INTERNET

🔸 Web: https://bit.ly/awclub-en

🔸 Discord: https://epa.ms/acd

🔸 Instagram: https://instagram.com/anywhere_club