Coding Interview Questions And Answers - Data Structures & Algorithms Anywhere Club podcast

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In this first episode of our new podcast, Gordon Mullan and Govind Shukla discuss the latest news in the world of AI, plus other news from robotics, ethics, regulation, and more! NAVIGATION 00:00 - Introduction 06:42 - Google 18:15 - OpenAI 21:44 - Microsoft 40:08 - Mistral 45:16 - China: Alibaba 52:40 - China: Manus 56:30 - Windsurf Editor 57:40 - Cursor IDE 59:27 - Opera 1:00:10 - Cohere 1:05:35 - Law and Order 1:16:45 - Science and Technology 1:31:34 - Conclusion WHERE TO WATCH US AND LISTEN 🔸 YouTube: https://youtu.be/o6LIEhjB0_0 🔸 Apple Podcasts: https://bit.ly/awclub-en-apple 🔸 Spotify: https://bit.ly/awclub-en-spotify 🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/36 SERVICES AND LINKS FROM THE EPISODE 🔹 Google's Investment in Anthropic: https://www.nytimes.com/2025/03/11/technology/google-investment-anthropic.html 🔹 AI Studio Gemini 2.0 Flash Experimental: https://aistudio.google.com/prompts/new_chat 🔹 Gemma-3: https://huggingface.co/collections/google/gemma-3-release-67c6c6f89c4f76621268bb6d 🔹 AI Mode in Google Search: https://blog.google/products/search/ai-mode-search/ 🔹 Python Interpreter (code execution): https://developers.googleblog.com/en/gemini-20-deep-dive-code-execution/ 🔹 Gemini Embeddings: https://ai.google.dev/gemini-api/docs/embeddings 🔹 ChatGPT for macOS now edits code in IDE: https://x.com/OpenAIDevs/status/1897700857833193955 🔹 New API Tools for AI Agents: https://www.youtube.com/live/hciNKcLwSes 🔹 NextGenAI Contracts with Universities: https://openai.com/index/introducing-nextgenai/ 🔹 OpenAI's $20,000 AI Agents: https://www.theinformation.com/articles/openai-plots-charging-20-000-a-month-for-phd-level-agents 🔹 Microsoft MAI: https://fortune.com/2025/03/07/microsoft-creates-in-house-ai-models-it-believes-rival-openais/?utm_source=www.therundown.ai&utm_medium=newsletter&utm_campaign=ilya-s-secret-asi-roadmap&_bhlid=dfb9c2edd83857673d88b02ebd6081ea969029c8 🔹 Mistral OCR: https://mistral.ai/news/mistral-ocr 🔹 QwQ-32B: https://qwenlm.github.io/blog/qwq-32b/ 🔹 Fine-tuning QwQ-32B (START): https://www.alphaxiv.org/abs/2503.04625 🔹 Alibaba’s R1-Omni Model: https://www.bloomberg.com/news/articles/2025-03-12/alibaba-releases-emotional-intelligence-model-to-rival-chatgpt 🔹 R1-Omni on Hugging Face: https://huggingface.co/StarJiaxing/R1-Omni-0.5B 🔹 Qwen Chat Enhancements: https://x.com/Alibaba_Qwen/status/1899497336889659775?utm_source=alphasignal 🔹 Qwen Chat: https://chat.qwen.ai/ 🔹 AI-agent Manus: https://manus.im/ 🔹 Manus reveals internals to users: https://x.com/jianxliao/status/1898861051183349870?s=46&t=dUCVh9akIWxxNUIkrDJwJg 🔹 Prompt for Manus: https://gist.github.com/jlia0/db0a9695b3ca7609c9b1a08dcbf872c9 🔹 Mistral OCR: https://mistral.ai/news/mistral-ocr 🔹 Anthropic’s Request for AI Regulation: https://www.anthropic.com/news/anthropic-s-recommendations-ostp-u-s-ai-action-plan 🔹 Gemini Robotics from Google: https://deepmind.google/discover/blog/gemini-robotics-brings-ai-into-the-physical-world/ 🔹 AI Scientist by Sakana AI: https://sakana.ai/ai-scientist-first-publication/ 🔹 Users Form Emotional Bonds with AI Voices: https://arstechnica.com/ai/2025/03/users-report-emotional-bonds-with-startlingly-realistic-ai-voice-demo/ 🔹 Cohere Releases Command Model: https://docs.cohere.com/v1/reference/generate 🔹 AI Content Labeling Law in Spain: https://www.elconfidencial.com/espana/2021-02-01/sentencia-tsjc-elecciones-catalanas-14f_2931096/ 🔹 Windsurf Editor Update: https://windsurf.dev/blog/ai-first-editor 🔹 Raycast Pro AI: https://www.raycast.com/blog/raycast-pro 🔹 OpenAI’s Agents SDK Library: https://platform.openai.com/docs/guides/agents 🔹 OpenAI to Sell High-End AI Agents: https://www.theinformation.com/articles/openai-plots-charging-20-000-a-month-for-phd-level-agents #aiapodcast #engx #manus…

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Coding Interview Questions and Answers: .NET and Angular / Mock Interview Show #5 1:12:18

for 15 dage siden1:12:18

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👉 Integrate GitHub Copilot and ChatGPT into your daily work: https://aw.club/global/en/courses/ai-supported-software-engineering In this episode of "Mock Interview Show #5", we dive into .NET and Angular coding interview questions and answers. Whether you're a beginner or have 4+ years of experience, this session will provide valuable insights into real-world technical interviews. Watch as Ruchi Arora, our candidate, takes on challenging coding problems and navigates in-depth questions from our expert interviewer, Mahesh Gali. Hosted by https://www.youtube.com/@SumitRamteke, the episode wraps up with honest feedback and key takeaways to help you sharpen your skills. Don’t miss this opportunity to see a live technical interview in action! NAVIGATION 0:00 - Intro 3:50 - Web API 8:02 - C Sharp 13:34 - ASP.NET Core 16:33 - EF.NET 21:13 - SQL Server 26:36 - .NET Unit and Integration Testing 29:38 - Software Design 34:01 - Design patterns 36:03 - Architecture 40:44 - SDLC 43:27 - Code task C Sharp 50:00 - Code task SQL 1:01:26 - Angular 1:07:39 - Feedback session TOPICS and PRACTICAL TASKS .NET: Web API: 1. Please explain REST principles. 2. What are the different http methods you used and can you explain them? 3. Explain the concept of content negotiation. 4. What is CORS? 5. Explain the error handling mechanism you implemented for your Web API. C#: 1. Explain about generics and can you demonstrate with an example? 2. Explain about run time polymorphism and its uses. 3. Can you explain how to clear unmanaged resources? 4. Explain the methods you used in Task Parallel Library and their applications. 5. Explain about TaskCompletionSource. ASP.NET Core 1. Please explain where we use custom middleware and how can we build one? 2. How to implement model validation? 3. What are the different options we have to store environment specific sensitive information in an asp.net core application? EF.NET 1. Which approach did you use and can you explain more about how you implemented it? 2. Explain about entity data model. 3. What are the different entity states we have and their usage? 4. Explain Tracking vs. No q -Tracking 5. Explain how to use the Entity Framework Profiler tool to identify performance bottlenecks in Entity Framework applications. SQL Server 1. Explain pros and cons of indexes. 2. What are some best practices for writing efficient stored procedures? 3. Explain about the execution plan and its applications. 4. Explain the different isolation levels in SQL .NET Unit and Integration Testing 1. What is the role of unit tests in CI/CD pipeline? 2. Explain AAA principles. Software Design: 1. Explain dependency inversion principle 2. Explain code smell with examples. How do you find all code smells in a source code? Design patterns: 1. What are design patterns and what is the main purpose of using them? Architecture: 1. Explain the current project architecture. 2. Monolithic vs micro services - pros and cons. SDLC: 1. What is Definition of Ready vs Definition of Done 2. What are the different estimation techniques you used? Angular: 1. Explain the difference between Angular's JIT and AOT compilation 2. Explain how change detection works in Angular 3. Describe the purpose and use cases of RxJS in Angular 4. You've been tasked with optimizing the performance of an existing Angular application. What steps would you take to identify and address performance issues? Provide specific examples of tools and techniques you would use. 5. Explain the different types of testing in Angular and the tools/frameworks you used Handson: C#: - Print the number of occurrences of each character in a string. SQL: DROP TABLE IF EXISTS ROOM; CREATE TABLE ROOM ( ROOM_ID INT PRIMARY KEY, ROOM_NAME VARCHAR(255) ); DROP TABLE IF EXISTS EMPLOYEE; CREATE TABLE EMPLOYEE ( EMPLOYEE_ID INT PRIMARY KEY, NAME VARCHAR(255), ROOM_ID INT, FOREIGN KEY (ROOM_ID) REFERENCES ROOM(ROOM_ID) ); We have 2 tables: ROOM (ROOM_ID, ROOM_NAME) and EMPLOYEE (EMPLYEE_ID, NAME, ROOM_ID) Please find a single employee who sits in the most overcrowded room. WHERE TO WATCH US AND LISTEN 🔸 YouTube: https://youtu.be/NmWvXZmJfVc 🔸 Apple Podcasts: https://bit.ly/awclub-en-apple 🔸 Spotify: https://bit.ly/awclub-en-spotify 🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/35 #engx #dotnet #angular…

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SDLC Explained: How Agile & AI Boost Your Software Projects 48:11

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Discover an easy Introduction to the Software Development Life Cycle (SDLC) in this video! Aleksandr Gushchin, a Delivery Manager for big clients, breaks down the SDLC in software engineering with a simple, clear approach. Learn the fundamentals, explore SDLC models, and uncover best practices that drive engineering excellence. In just 40 minutes, you'll get a simplified overview—from "What is Software Development Life Cycle" to "Software Engineering Best Practices You Should Follow" and "What AI tools should Developers use?". See how agile methods and AI help senior programmers write better code, deliver business value faster, and reduce costs. If you're looking for a straightforward guide to the software development lifecycle, this video is a must-watch! COURSES BY ENGX 👉 Software Delivery Cost Optimizer: https://aw.club/global/en/courses/engx-code-review 👉 EngX Code Review: https://aw.club/global/en/teams/software-delivery-cost-optimizer NAVIGATION 0:00 Intro 1:19 Fundamentals of SDLC 3:01 Enhancing Efficiency in SDLC 4:27 Reducing Costs and Avoiding Waste 5:09 Importance of Market Research in SDLC 6:33 Initial Phases of SDLC 7:50 Solution Design and Custom Development 8:52 Implementation and Testing of Solutions 10:10 Ensuring High-Quality Development Standards 11:02 Effective Communication and Documentation 12:13 Managing Known and Stable Project Scopes 13:25 Application of Agile in Predictable Environments 14:19 Factory Model in Software Development 15:09 Handling Dynamic Project Environments 16:15 Strategy and Management in Unfamiliar Situations 17:09 Experimentation and Proof of Concept in SDLC 18:23 Importance of Clear Requirements and Testing 19:17 Enhancing Developer Focus and Testing 20:09 Quality Gates and Development Output 21:10 Addressing and Managing Technical Debt 22:10 Improving Performance with Quality Initiatives 23:32 Role of Unit Testing in Quality Assurance 24:24 Continuous Quality and Assurance Practices 25:24 Shift-Left Approach in Testing 26:05 Analyzing and Optimizing Delivery Pipelines 27:26 Role of AI in Streamlining SDLC Processes 28:52 Choosing the Right Management Methodology 30:10 Efficiency of Regression Testing and Automation 31:38 Agile and Continuous Delivery in Complex Projects 33:18 Advantages of Kanban and Continuous Delivery 34:26 Evaluating and Improving SDLC Processes 35:44 Reworking Tasks for Testability and Independence 37:14 Code Documentation and Traceability 38:20 Developer's Role in Business Value Delivery 39:27 Reducing Maintenance Costs through Quality Assurance 40:29 Utilizing AI for Routine Task Automation 41:37 Enhancing SDLC with Quality Gates 42:33 Implementing Advanced Security and Analysis Tools 43:48 AI Assistance in Development and Testing 45:23 Leveraging AI for Testing and Quality Improvement 47:26 Encouraging Continuous Learning and Engagement 47:26 Final words WHERE TO WATCH US AND LISTEN 🔸 YouTube: https://youtu.be/3ADcI14kiNM 🔸 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/34 #engx #sdlc #engineering…

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Coding Interview Questions and Answers - Data Structures & Algorithms 1:19:04

for 15 weeks siden1:19:04

1:19:04

In this episode of "Interview Anywhere," we explore data structures and algorithms coding interview questions and answers. This episode will be helpful for beginners as well as for experts with more than four years of experience. Watch as Pratik Jagtap, our candidate, solves coding challenges and handles in-depth questions from our expert interviewer, Saurabh Shekhar. NAVIGATION 00:00 Intro 01:14 Introduction of participant 02:31 Theoretical part 1 02:54 ArrayList vs LinkedList 05:11 Internal HashMap 09:23 Quick Sort vs Merge Sort 11:47 Building a Leaderboard 15:07 Solving the Leaderboard Problem 20:11 Optimizing Complexity 27:39 Implementation and Testing 34:30 Data Updates 42:42 Testing and Debugging 50:21 Reducing and Sorting Maps 01:00:19 Kadane’s Algorithm 01:09:07 Handling Negative Values 1:14:39 Feedback session 01:16:15 Expert verdict 01:18:17 Final Thoughts COURSES BY ENGX 👉 Integrate GitHub Copilot and ChatGPT into your daily work for streamlined, efficient development. with course "AI for software Engineers on EngX": https://aw.club/global/en/courses/ai-supported-software-engineering 👉 Integrate a generative AI toolset into your product development processes to boost team performance with course "AI adoption for teams": https://aw.club/global/en/courses/generative-ai-adoption-for-engineering-teams 👉 Mini AI Workshop for Dev Teams: https://aw.club/global/en/courses/engx-ai-adoption-workshop WHERE TO WATCH US AND LISTEN 🔸 YouTube: https://youtu.be/3Bgk8Mft00E 🔸 Apple Podcasts: https://bit.ly/awclub-en-apple 🔸 Spotify: https://bit.ly/awclub-en-spotify 🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/33 #engx #mockinterview #dsa…

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Unlocking AWS's AI Power: Amazon Q & Bedrock for Developers 15:06

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In this insightful video, Viktor Vedmich, Senior Developer Advocate at AWS, delves into a suite of AWS services meticulously crafted for developers. He provides an in-depth exploration of Amazon Q, a generative AI-powered assistant designed to streamline development workflows. Viktor also introduces Amazon Q for Developers, an extension that offers advanced coding assistance, and Amazon Bedrock, a fully managed service that simplifies the creation and scaling of generative AI applications. This comprehensive guide is essential for developers aiming to leverage AWS's cutting-edge AI tools to enhance productivity and innovation. NAVIGATION 0:00 Start 0:17 Generative AI 1:13 What kinds of AI-related services does AWS provide for developers? 3:46 What is Amazon Q? 8:29 How can we start working with Amazon Q Developer? 9:46 More about Amazon Q Developer and IDE integration? 11:28 How can you convince your boss that Amazon Q is safe enough to use on a project? 14:00 Final words AI IN AWS 🔸 Amazon Bedrock: https://aws.amazon.com/bedrock 🔸 Amazon Q: https://aws.amazon.com/q/ 🔸 Amazon Q for Developers: https://aws.amazon.com/q/developer/ COURSES BY ENGX 👉 Integrate GitHub Copilot and ChatGPT into your daily work for streamlined, efficient development. with course "AI for software Engineers on EngX": https://aw.club/global/en/courses/ai-supported-software-engineering 👉 Integrate a generative AI toolset into your product development processes to boost team performance with course "AI adoption for teams": https://aw.club/global/en/courses/generative-ai-adoption-for-engineering-teams 👉 Mini AI Workshop for Dev Teams: https://aw.club/global/en/courses/engx-ai-adoption-workshop WHERE TO WATCH US AND LISTEN 🔸 YouTube: https://youtu.be/0kXQHpaVLFM 🔸 Apple Podcasts: https://bit.ly/awclub-en-apple 🔸 Spotify: https://bit.ly/awclub-en-spotify 🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/32 #awclub #engx #ai…

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Why Do Developers Need Product Mindset? / Engineering Excellence 32:06

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In this episode, Aleksas Drozdovskis, an Experience Consultant, and Roman Zatitsky, a Product Manager, dive into the idea of "product thinking" from an engineer’s point of view. They chat about how product thinking helps with career growth, influences business decisions, reduces team stress and burnout, and makes engineers more aligned and effective. 🔹Aleksas Drozdovskis: https://www.linkedin.com/in/drozdovskis/ 🔹Roman Zatitskiy: https://www.linkedin.com/in/zatitskiyrb/ NAVIGATION 00:00 Introduction of Aleksas Drozdovskis 00:58 What is product mindset 04:24 Why should i care about discovery and business value 10:03 Who gets more promotion? 11:36 How product mindset can decrease the tension between engineers teams and business teams 14:27 Story about project to product transformation 17:09 How to cultivate a product-oriented culture in a team 20:53 How product mindset influence on the impact that engineers have 24:22 Engineers build features based on discovery that don't get used 28:57 Sum up 31:09 Final COURSES FROM EPISODE 👉 Generative AI for managers: https://aw.club/global/en/courses/gen-ai-for-managers 👉 AI adoption workshop for engineering teams: https://aw.club/global/en/courses/engx-ai-adoption-workshop 👉 EngX HI: Navigating Team Dynamics: https://aw.club/global/en/courses/navigating-teams-dynamics WHERE TO WATCH US AND LISTEN 🔸 YouTube: https://youtu.be/R9hKz5pJEwk 🔸 Apple Podcasts: https://bit.ly/awclub-en-apple 🔸 Spotify: https://bit.ly/awclub-en-spotify 🔸 Download mp3: 'simplecast episode link placeholder' #awclub #engx #productthinking…

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AI in Oncology: The Future of Cancer Prevention and Treatment / ZuriAI Podcast #2 1:05:19

for 27 weeks siden1:05:19

1:05:19

👉 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…

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Node.js Job Interview: Mock Session for a Position with 2+ Years of Exp / InterviewAnywhere #3 1:28:16

for 32 weeks siden1:28:16

1:28:16

👉 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…

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Product Mindset for Developers / What is Product Management in 2024 1:44:49

for 34 weeks siden1:44:49

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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…

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AI's Evolution in Music / From Mozart to Machine Learning / Des Hristov from Endel / ZuriAI #1 1:15:05

for 52 weeks siden1:15:05

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👉 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…

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O1 Light, Apple ReaLM & Voice Cloning by OpenAI / Most human-like podcast #3 8:25

for 52 weeks siden8:25

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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…

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NVIDIA's GTC 2024, Midjourney's New Trick, Apple's Big Bet on AI / Most human-like podcast #2 5:04

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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…

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Inflection 2.5, OpenAI Drama, and AI Drones / Most human-like podcast #1 4:05

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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…

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Unraveling AI Myths: Insightful Take on AI's Future and Misconceptions 31:22

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👉 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…

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The Rise of Gaming Tech and the Career Skills Needed / Head of Gaming Vitalii Vaschuk / Tech Show 34:25

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