We're trying something different this week: a full post-show breakdown of every episode in the latest season of Black Mirror! Ari Romero is joined by Tudum's Black Mirror expert, Keisha Hatchett, to give you all the nuance, the insider commentary, and the details you might have missed in this incredible new season. Plus commentary from creator & showrunner Charlie Brooker! SPOILER ALERT: We're talking about the new season in detail and revealing key plot points. If you haven't watched yet, and you don't want to know what happens, turn back now! You can watch all seven seasons of Black Mirror now in your personalized virtual theater . Follow Netflix Podcasts and read more about Black Mirror on Tudum.com .…
Player FM - Internet Radio Done Right
Checked 10d ago
הוסף לפני twenty שבועות
Nội dung được cung cấp bởi David Such. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được David Such hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.
Player FM - Ứng dụng Podcast
Chuyển sang chế độ ngoại tuyến với ứng dụng Player FM !
Chuyển sang chế độ ngoại tuyến với ứng dụng Player FM !
))
Podcast đáng để nghe
TÀI TRỢ BỞI
Deep Learning Frameworks in 2025: A Review
Manage episode 461829787 series 3620285
Nội dung được cung cấp bởi David Such. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được David Such hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.
In this episode, we investigate the state of deep learning frameworks in 2025. We review the leading contenders—TensorFlow, PyTorch, JAX, MXNet, and LightningAI—analyzing their strengths, latest features, performance benchmarks, and the size of their user communities.
We also explore key trends shaping the field, including the sustained dominance of established frameworks and the growing popularity of specialized options like LightningAI, known for its focus on performance, scalability, and usability. To wrap up, we discuss future directions in deep learning frameworks, from integrating quantum computing to improving model interpretability. Tune in for a forward-looking discussion on the tools driving the future
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
25 tập
Chia sẻManage episode 461829787 series 3620285
Nội dung được cung cấp bởi David Such. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được David Such hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.
In this episode, we investigate the state of deep learning frameworks in 2025. We review the leading contenders—TensorFlow, PyTorch, JAX, MXNet, and LightningAI—analyzing their strengths, latest features, performance benchmarks, and the size of their user communities.
We also explore key trends shaping the field, including the sustained dominance of established frameworks and the growing popularity of specialized options like LightningAI, known for its focus on performance, scalability, and usability. To wrap up, we discuss future directions in deep learning frameworks, from integrating quantum computing to improving model interpretability. Tune in for a forward-looking discussion on the tools driving the future
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
25 tập
Tất cả các tập
×
E
Embedded AI - Intelligence at the Deep Edge
1 LLMs as Assistants - the ultimate guide! 24:08
24:08 
Nghe Sau 
Nghe Sau 
Danh sách 
Thích 
Đã thích24:08
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, we look at the role of large language models (LLMs) as modern-day “artificial interns” , exploring how these systems are transforming the way we work. From content generation and coding help to customer service and knowledge retrieval, we examine how LLMs are used across augmented, transactional, and autonomous tasks . We discuss a unique comparison: using LLMs for problem-solving in the same way developers use rubber duck debugging —talking through issues to arrive at clearer solutions. But while LLMs offer immense value through 24/7 availability, wide-ranging knowledge, and responsiveness, the episode also unpacks their limitations , including hallucinations , biases , and the risk of overreliance without proper human oversight. We also compare LLMs to traditional software and human assistants , highlight current real-world applications, and speculate on how these tools may evolve—raising important questions about ethics, trust, and professional responsibility . Whether you’re a developer, writer, or manager, this episode offers insights into how to work with LLMs effectively—not just as tools, but as intelligent collaborators. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
Send us a text In this episode, we dive into the fascinating convergence of blockchain and artificial intelligence (AI) —two powerful technologies reshaping the digital landscape. We explore how blockchain brings transparency, trust, and data integrity to AI systems, while AI enhances blockchain networks through automation, prediction, and optimization. You’ll hear about real-world applications across industries like finance, healthcare, and smart infrastructure , along with an overview of pioneering platforms such as SingularityNET and Ocean Protocol , which are creating decentralized marketplaces for data and AI models. We also discuss the promise of auditable AI , where blockchain provides an immutable record of AI decision-making. Of course, the episode doesn’t shy away from the challenges, including scalability issues, complexity, and ethical concerns. But the overarching theme is clear: the fusion of blockchain and AI has the potential to create more secure, intelligent, and decentralized systems—paving the way for the next generation of digital innovation. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 AI Bias and Fairness: A Contentious Landscape 27:36
27:36 Nghe Sau Nghe Sau Danh sách Thích Đã thích27:36
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, we examine the critical issue of bias in artificial intelligence , exploring how biased AI systems can amplify discrimination and perpetuate societal inequalities. We discuss the sources of AI bias, including prejudiced training data, algorithmic design choices, and human decisions during development. We highlight how biased AI impacts areas like recruitment, criminal justice, healthcare, finance, and social media, potentially deepening existing inequalities and undermining public trust. We also delve into efforts to address AI bias through technical solutions—such as collecting diverse data and using fairness-oriented algorithms—as well as regulatory responses like the EU AI Act and emerging legislation in the United States. Yet, despite these efforts, defining and effectively mitigating AI bias remains a significant challenge. Ultimately, we emphasize the importance of interdisciplinary collaboration and ethical guidelines to ensure AI systems are fair, equitable, and trustworthy. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 AI Agents / Agentic AI: The next generation of AI? 19:55
19:55 Nghe Sau Nghe Sau Danh sách Thích Đã thích19:55
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this podcast episode, we investigate AI agents—autonomous systems that sense their environments, make independent decisions, and carry out tasks. We discuss their various types, architectures, and capabilities, highlighting their limitations and ethical implications. Special attention is given to the rise of Agentic Workflows and Data Synthesis, driven by challenges around accuracy in current AI systems. The episode also explores practical advice on building effective agents, emphasizing iterative prompt engineering and standardized JSON outputs. Finally, we touch on Edge AI Agents, a promising area bringing autonomous intelligence directly to resource-constrained devices, shaping the future of AI applications. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 LLMs - Fancy Autocorrect or can they actually Reason? 14:58
14:58 Nghe Sau Nghe Sau Danh sách Thích Đã thích14:58
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, we discuss the limitations of Large Language Models (LLMs) in areas like deductive reasoning, analogy-making, and ethical judgment. While today’s AI models excel at recognizing statistical patterns in vast datasets, they lack genuine understanding or an internal model of the world. Researchers are tackling these challenges through innovations such as causal AI , inference-time computing , and neuro-symbolic approaches , all aimed at enabling AI to move beyond mere pattern recognition towards true reasoning. We explore how these emerging technologies, including causal inference , inference-time computing , and neuro-symbolic integration , are pushing AI closer to human-like, “System 2” reasoning. Will these advancements finally bridge the gap between AI imitation and genuine reasoning? Tune in as we dive into the future of artificial intelligence and explore what it will take for machines to truly think. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 AI Errors vs. Human Mistakes: Rethinking Security 11:49
11:49 Nghe Sau Nghe Sau Danh sách Thích Đã thích11:49
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, we explore the unique nature of AI mistakes and why they differ fundamentally from human errors. Unlike people, AI systems make random, inconsistent, and unpredictable errors, often without awareness of their own limitations. This unpredictability challenges traditional security approaches, requiring new frameworks for AI reliability and risk management . The discussion delves into two potential solutions: engineering AI to make more human-like mistakes and creating specialized mistake-correcting mechanisms tailored for AI. While AI can exhibit human-like behaviors—such as prompt sensitivity and biases learned from training data —it also introduces distinct vulnerabilities that require fresh security strategies. How can we ensure AI is deployed safely in decision-making? And what do these insights mean for the future of AI security? Tune in for an eye-opening conversation on the evolving landscape of AI safety and reliability . If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 Apple’s AI Gamble in China: The Qwen Partnership 19:33
19:33 Nghe Sau Nghe Sau Danh sách Thích Đã thích19:33
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, we explore Apple’s strategic partnership with Alibaba , integrating the Qwen AI model into iPhones sold in China. Faced with regulatory barriers and declining sales, Apple turns to Alibaba’s powerful large language model (LLM) to bring advanced AI features to its Chinese users while ensuring compliance with local laws. We break down the implications of this move—how it strengthens Apple’s foothold in China, boosts Alibaba’s AI credibility, and reflects the broader trend of AI localization in global markets. However, challenges loom, including government scrutiny, competition from local AI firms, potential performance limitations, and privacy concerns . Is this a smart strategic play or a risky compromise? And what does it mean for US-China tech relations ? Tune in as we unpack the stakes behind Apple’s AI decision in China. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 AI Music Production: Generative AI, MIDI Controllers, and the Future of Music 15:35
15:35 Nghe Sau Nghe Sau Danh sách Thích Đã thích15:35
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, we investigate the world of AI-generated music, exploring how cutting-edge AI techniques—such as transformers, GANs, and VAEs—are revolutionizing music creation. We also take a look at traditional non-AI methods like arpeggiators and Markov chains, which continue to shape algorithmic composition. Beyond the software, we discuss an innovative MIDI controller design tailored for AI-driven music production, featuring controls specifically optimized for manipulating AI parameters and integrating seamlessly with modern music tools. But with great innovation comes great debate—what are the ethical and legal implications of AI-generated music? We tackle concerns surrounding copyright, originality, and the potential impact on human musicians. Is AI enhancing creativity, or is it replacing it? Tune in for an insightful discussion on the future of music in the age of AI. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
Send us a text In this episode, we explore the concept of AI hard takeoff —the moment when artificial intelligence rapidly surpasses human intelligence, triggering an unstoppable acceleration in its capabilities. We break down the difference between a hard takeoff and a soft takeoff , weighing the potential risks and benefits of AI evolving beyond human control. We also examine recent breakthroughs in AI, uncovering evidence that suggests we may be closer than ever to Artificial General Intelligence (AGI) and even Artificial Superintelligence (ASI) . With insights from leading AI experts, we discuss the growing concerns over the speed of AI development and whether organizations and governments are truly prepared for what comes next. Is humanity on the brink of an AI revolution, or are we rushing into unknown dangers? Tune in to find out. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 DeepSeek: A Budget-Friendly solution or the end of Western AI? 15:51
15:51 Nghe Sau Nghe Sau Danh sách Thích Đã thích15:51
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, we investigate DeepSeek AI , the cost-effective yet high-performing Chinese AI model that is making waves in the industry. We compare its capabilities to leading American models like OpenAI’s, uncovering how DeepSeek achieves impressive reasoning and coding performance at a fraction of the training cost. We break down the innovative techniques behind its success, including the Mixture-of-Experts architecture and Multi-Head Latent Attention mechanism , which contribute to its efficiency. But what does this mean for the global AI landscape? We explore the potential disruption to major tech companies, the implications of DeepSeek’s open-source nature, and the ripple effects on the US stock market and the future of AI development . Is DeepSeek the beginning of a new AI era, or a major challenge to Western AI dominance? Tune in to find out! If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
Send us a text This episode talks about the essentials of exploratory data analysis (EDA) for image recognition. We discuss key techniques—descriptive, diagnostic, and predictive EDA—and outline recommended steps such as image visualization, statistical analysis, anomaly removal, and feature engineering, along with ethical considerations in the process. We also explore how EDA enhances model accuracy, focusing on the person detection model MCUNet-VWW2 and the Wake Vision dataset. Learn how label correction, data augmentation, and preprocessing improved performance while addressing dataset features, limitations, and the impact of EDA in real-world applications. Join us for an insightful guide to mastering EDA in image recognition! If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 Deep Learning Frameworks in 2025: A Review 35:05
35:05 Nghe Sau Nghe Sau Danh sách Thích Đã thích35:05
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, we investigate the state of deep learning frameworks in 2025. We review the leading contenders—TensorFlow, PyTorch, JAX, MXNet, and LightningAI—analyzing their strengths, latest features, performance benchmarks, and the size of their user communities. We also explore key trends shaping the field, including the sustained dominance of established frameworks and the growing popularity of specialized options like LightningAI, known for its focus on performance, scalability, and usability. To wrap up, we discuss future directions in deep learning frameworks, from integrating quantum computing to improving model interpretability. Tune in for a forward-looking discussion on the tools driving the future If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
Send us a text In this episode, we explore capsule networks (CapsNets), an innovative advancement in artificial neural networks designed to overcome the limitations of traditional convolutional neural networks (CNNs). CapsNets introduce “capsules,” groups of neurons that encode richer information about features, such as their position and orientation, enabling a deeper understanding of spatial hierarchies. We break down the concept of dynamic routing, a key mechanism that intelligently connects capsules and allows CapsNets to effectively recognize hierarchical relationships and maintain viewpoint invariance. The episode compares CapsNets to CNNs, highlighting their advantages in handling complex spatial features, while addressing challenges like their higher computational cost. We also dive into the latest research and exciting applications of CapsNets, including breakthroughs in image recognition and medical image analysis. Join us as we unravel the potential of capsule networks to transform the landscape of machine learning. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 Artificial Consciousness: The Missing Pieces 17:40
17:40 Nghe Sau Nghe Sau Danh sách Thích Đã thích17:40
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, we explore the fascinating and complex concept of artificial consciousness (AC). We dive into its definition, the current state of research, and the philosophical and ethical questions surrounding the creation of conscious machines. The discussion highlights the immense challenges in replicating subjective experience and measuring consciousness in artificial systems, while also examining diverse perspectives on whether AC is possible—or even desirable. We analyze groundbreaking research shaping the field and tackle pressing ethical concerns, such as the potential for AI to experience suffering and the urgent need for ethical frameworks to guide its development. As the debate over artificial consciousness continues to evolve, we reflect on the implications of this emerging frontier and what it means for the future of technology and humanity. Tune in for a thought-provoking discussion that uncovers the missing pieces of artificial consciousness. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 Spiking Neural Networks: The Future of AI? 29:20
29:20 Nghe Sau Nghe Sau Danh sách Thích Đã thích29:20
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, we get into spiking neural networks (SNNs), a cutting-edge AI model inspired by the brain’s biological processes. Unlike traditional neural networks, SNNs are energy-efficient and optimized for neuromorphic hardware, making them ideal for tasks involving temporal or sequential data. We explore their event-driven approach, potential to revolutionize AI, and their promise as a stepping stone toward artificial general intelligence. While challenges in training and hardware adoption persist, the discussion highlights the need for innovative architectures that replicate the brain’s complexity, positioning SNNs as a foundation for next-generation AI systems. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 The Nvidia Way: From Gaming Chips to AI Domination 13:38
13:38 Nghe Sau Nghe Sau Danh sách Thích Đã thích13:38
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text Welcome to The Nvidia Way: From Gaming Chips to AI Domination. In today’s episode, we explore the fascinating story behind Nvidia’s rise, inspired by Tae Kim’s groundbreaking new book, The Nvidia Way. This is the first comprehensive account of Nvidia’s history and the visionary leadership of Jensen Huang. From the company’s early struggles to its risky yet brilliant decisions, Kim takes us through the journey that transformed Nvidia from a niche player in gaming graphics to a dominant force in artificial intelligence. We’ll chat about the unique corporate culture and Huang’s distinctive management style that fueled this meteoric rise. While the book captures Nvidia’s path to market dominance, it also leaves room for debate on the company’s recent strategies, like the controversial Arm acquisition attempt. Are Nvidia’s successes a product of strategic genius, or were they simply in the right place at the right time? And what does the future hold for this tech giant as it looks beyond Huang’s leadership? Join us as we unpack these questions and examine the lessons from Nvidia’s remarkable ascent. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 The Fundamental Particle of Consciousness 13:14
13:14 Nghe Sau Nghe Sau Danh sách Thích Đã thích13:14
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, we explore the intricate relationship between neurons, intelligence, and consciousness. We talk about traditional views that associate consciousness with specific brain structures, such as the midline brain regions, and contrast them with emerging theories that highlight the role of the thalamocortical system. Key frameworks like the Global Workspace Theory and Integrated Information Theory provide insights into how consciousness might arise. The episode also ventures into alternative perspectives, discussing potential “fundamental particles” of consciousness, from neuronal networks to quantum phenomena. We clarify the distinction between consciousness, as subjective experience, and intelligence, as a measure of cognitive ability, examining how these concepts apply to both biological and artificial systems. Ultimately, we tackle the enduring mystery of consciousness and its connection to intelligence, acknowledging the limitations of current scientific understanding. It is a thought-provoking exploration of one of the most profound questions in science and philosophy. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 The problem of ML Model drift and decay in production 34:01
34:01 Nghe Sau Nghe Sau Danh sách Thích Đã thích34:01
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this episode, called “The Problem of ML Model Drift and Decay in Production,” we explore the challenges of maintaining machine learning (ML) model accuracy over time. We break down model drift , a critical issue where a model’s predictive performance degrades due to changes in data or the environment. Listeners will learn about the two main causes of drift: data drift , where input data distributions shift, and concept drift , where the relationship between inputs and outputs evolves. We also discuss the real-world consequences of model drift, such as poor decision-making, business losses, and ethical concerns like biased predictions. To address these challenges, we outline best practices for mitigating drift, including continuous monitoring , maintaining data quality, implementing regular retraining cycles, and leveraging specialized tools and technologies. Finally, we highlight the broader business and ethical implications of neglecting model drift, emphasizing why proactive strategies are essential for ensuring long-term ML model reliability. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 Quantum Computing and AI: A Symbiotic Leap Forward 19:05
19:05 Nghe Sau Nghe Sau Danh sách Thích Đã thích19:05
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text In this podcast, “Quantum Computing and AI: A Symbiotic Leap Forward,” we discuss the intersection of quantum computing and artificial intelligence, exploring their combined potential to reshape industries and redefine innovation. The episode begins by breaking down the fundamentals of quantum computing, shedding light on the various types of quantum computers and the unique capabilities they bring to problem-solving. It then examines how quantum computing amplifies AI applications, with a focus on groundbreaking advancements in quantum machine learning, natural language processing, and computer vision. We also spotlight the leading players driving this convergence and discuss the immense opportunities it presents, as well as the significant challenges that must be addressed. Finally, the conversation turns to the ethical implications of this powerful synergy, raising important questions about its societal impact and the need for responsible development. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 Is AI the end of coding or the start of something else? 14:39
14:39 Nghe Sau Nghe Sau Danh sách Thích Đã thích14:39
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text Welcome to Is AI the End of Coding or the Start of Something Else? Today, we explore the impact of artificial intelligence on the coding profession. AI is revolutionizing how programmers work by automating routine tasks, integrating seamlessly into tools like VS Code through GitHub Copilot, and powering advanced Modular Development Environments like Cursor. While these advancements free developers to focus on high-level problem-solving, they also raise significant concerns. Over-reliance on AI coding tools could lead to skill atrophy, particularly for students and junior developers, and increase the risk of subtle bugs. Ethical challenges, such as intellectual property and copyright issues stemming from AI training data, further complicate the equation. One theme emerges: the need for adaptation. Reskilling programmers to thrive in a world of AI-augmented development is essential, requiring investments from companies, governments, and educational institutions. In this episode, we’ll discuss whether AI signals the demise of traditional coding or the beginning of an era where human creativity and AI capabilities come together to redefine the future of programming. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 The demise of Intel - first mobile and now AI 16:41
16:41 Nghe Sau Nghe Sau Danh sách Thích Đã thích16:41
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text Welcome to today’s Podcast episode on The Demise of Intel: First Mobile and Now AI . Once a titan of the semiconductor industry, Intel is now grappling with a crisis stemming from boardroom missteps, cultural stagnation, and missed opportunities in critical markets like mobile and AI. Today, we’ll unravel how a series of poor decisions—many driven by a board lacking semiconductor expertise—have culminated in the recent dismissal of CEO Pat Gelsinger, who, despite his flaws, was seen as a leader capable of turning the ship around. This discussion is inspired by a recent article from SemiAnalysis.com titled Intel on the Brink of Death , which delves deeply into the challenges facing the company. We’ll explore how Intel’s cultural shift from technological innovation to internal politics eroded its leadership and allowed competitors like ARM and NVIDIA to dominate the mobile and AI spaces. With its x86 architecture under siege in both client and server markets and the rise of accelerated computing shrinking its addressable market, Intel faces an uphill battle. Yet, there’s a glimmer of hope in its foundry business—a potential lifeline to reclaim technological leadership, if it can overcome immense capital challenges and attract key customers. Join us as we analyze SemiAnalysis.com ’s insights, dive into the roots of Intel’s decline, and discuss whether this tech giant has what it takes to rise from the brink. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
Send us a text This episode discusses one of the most thought-provoking works on the future of artificial intelligence—Nick Bostrom’s Superintelligence: Paths, Dangers, Strategies . It's a groundbreaking book that tackles the potential emergence of artificial superintelligence and its profound implications for humanity. Bostrom explores the pathways that could lead to the creation of a superintelligent AI, the risks of an ‘intelligence explosion,’ and the existential threats posed if such systems are not carefully aligned with human values. We’ll discuss the critical concept of AI alignment, the need for global cooperation, and the proactive strategies Bostrom proposes to navigate this uncertain but urgent frontier. From its influence on the AI safety movement to its pivotal role in sparking global discussions on ethics and governance, Superintelligence is as relevant today as ever. Join us as we unpack the insights, challenges, and strategies laid out in this fascinating exploration of what could be the defining issue of our time. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
Send us a text Welcome to today’s episode called “What is an AI PC and Are They Useful?” In this discussion, we’ll talk about the potential of AI-powered PCs totheir ability to transform how we work and live. According to an Intel report, the average user spends nearly 15 hours each week on repetitive digital tasks. AI PCs have the potential to cut that time by up to four hours weekly. However, many current owners aren’t seeing these time-saving benefits—largely because they’re unaware of what their devices can do. We’ll explore why consumer education is critical to unlocking the full potential of AI PCs, and we’ll tackle some of the common misconceptions—like whether they’re just gimmicks or tools reserved for specialists. Interestingly, as people learn more about AI PCs, their interest grows significantly, highlighting a need for better awareness and marketing strategies. Stick around as we chat about what these devices are, how they work, and whether they’re worth the hype. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
Send us a text Join us as we explore the fascinating process of memory formation, inspired by a recent article in Forbes . This episode unpacks the concept of behavioral timescale learning, revealing how our brains consolidate memories over seconds through the strengthening of neural connections. We’ll explore the surprising role of delayed enzyme activation in priming neurons for integration and discuss groundbreaking research that sheds light on the mechanisms behind memory. While not directly tied to AI, this episode sets the stage for our next discussion on artificial versus biological neurons, bridging the gap between natural and synthetic intelligence. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
E
Embedded AI - Intelligence at the Deep Edge
1 The Evolution of Artificial Intelligence 23:05
23:05 Nghe Sau Nghe Sau Danh sách Thích Đã thích23:05
Nghe Sau Nghe Sau Danh sách Thích Đã thíchSend us a text This podcast delves into the concept of intelligence, both biological and artificial, tracing its evolutionary journey in living organisms—from simple invertebrates to complex mammals—while emphasizing its diversity beyond a linear scale. It explores the development of artificial intelligence (AI), from early rule-based systems to advanced deep learning, and contrasts Artificial Narrow Intelligence (ANI) with the ambitious goal of Artificial General Intelligence (AGI). The discussion also clarifies the distinctions between embedded AI, edge computing, and IoT AI as applications of existing models rather than evolutionary stages. Finally, it touches on the intriguing role of consciousness in both biological and artificial intelligence. If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!…
Chào mừng bạn đến với Player FM!
Player FM đang quét trang web để tìm các podcast chất lượng cao cho bạn thưởng thức ngay bây giờ. Đây là ứng dụng podcast tốt nhất và hoạt động trên Android, iPhone và web. Đăng ký để đồng bộ các theo dõi trên tất cả thiết bị.
Daily Deals
Daily Deals
Player FM - Ứng dụng Podcast
Chuyển sang chế độ ngoại tuyến với ứng dụng Player FM !
Chuyển sang chế độ ngoại tuyến với ứng dụng Player FM !
))
