Podcast terbaik Ai Learning (2024)

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AI Startups Raise $3.9B in Q3 2024 15:15

9h ago15:15

15:15

In this episode, we discuss the significant investments in generative AI startups, which reached $3.9 billion in the third quarter of 2024. We explore the factors driving this surge in funding and what it means for the future of AI innovation. My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Jo…

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Deep Convolutional Neural Networks (D-CNNs) for Breast Cancer Detection 7:27

15h ago7:27

7:27

Here we discuss three different papers (see links below) on using D-CNNs to detect breast cancer. The first source details the development and evaluation of HIPPO, a novel explainable AI method that enhances the interpretability and trustworthiness of ABMIL models in computational pathology. HIPPO aims to address the challenges of opaque decision-m…

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Is Artificial Superintelligence Imminent? with Tim Rocktäschel - #706 55:52

7h ago55:52

55:52

Today, we're joined by Tim Rocktäschel, senior staff research scientist at Google DeepMind, professor of Artificial Intelligence at University College London, and author of the recently published popular science book, “Artificial Intelligence: 10 Things You Should Know.” We dig into the attainability of artificial superintelligence and the path to …

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Practical workflow orchestration 58:26

9h ago58:26

58:26

Workflow orchestration has always been a pain for data scientists, but this is exacerbated in these AI hype days by agentic workflows executing arbitrary (not pre-defined) workflows with a variety of failure modes. Adam from Prefect joins us to talk through their open source Python library for orchestration and visibility into python-based pipeline…

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AI and Methods for Enhancing Human Intelligence, from LessWrong 21:25

21h ago21:25

21:25

This LessWrong post explores various methods to enhance human intelligence, aiming to create individuals with significantly higher cognitive abilities than the current population. The author, TsviBT, proposes numerous approaches ranging from gene editing to brain-computer interfaces and brain emulation, discussing their potential benefits and drawb…

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A Five-Step Roadmap for Machine Learning Engineer Careers 22:15

2d ago22:15

22:15

The first source is a blog post by Max Mynter, a machine learning engineer, outlining a five-to-seven step roadmap for becoming a machine learning engineer. The post emphasizes the importance of both software engineering and data science skills alongside mathematics and domain knowledge. It then offers concrete resources, including courses and book…

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AI Box Update: Legal Drama, Development Progress, Launch Dates 24:55

3d ago24:55

24:55

In this episode, we discuss the latest legal issues AI Box is facing, along with the progress being made on their platform. We also cover their updated launch timeline and what users can expect going forward. AI Box Update YouTube Video: https://youtu.be/kB6c7VMeR5Q Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠…

1
Generalization in Classification 10:19

15h ago10:19

10:19

We discusses the importance of generalization in classification, where the goal is to train a model that can accurately predict labels for previously unseen data. The text first explores the role of test sets in evaluating model performance, emphasizing the need to use them sparingly and cautiously to avoid overfitting. It then introduces the conce…

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Google’s NotebookLM Launches New Features for AI Podcasts 12:03

5d ago12:03

12:03

In this episode, we discuss Google’s recent update to NotebookLM, enhancing its audio summarization feature with the ability to guide conversations and focus on specific topics. We also explore how this feature has driven a significant increase in user traffic and engagement. Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Commu…

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Scottish AI: Laughter Detection in Machine Learning 5:49

1d ago5:49

5:49

Recognizing laughter in audio is actually a very difficult ML problem, filled with failure. Much like most comedians' jokes. Let's hope some good stuff survives. This is a review of a student's final year project for a University of Edinburgh computer science course. The project focused on creating a machine learning model to detect laughter in vid…

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Mistral Drops New AI Models for Laptops and Phones "Les Ministraux" 10:01

5d ago10:01

10:01

AI startup Mistral has launched its newest AI models, "Les Ministraux," designed to run on edge devices like laptops and phones. The two available versions, Ministral 3B and Ministral 8B, have a 128,000-token context window, capable of processing the equivalent of a 50-page book. Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle C…

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Applications of GraphML like Predicting Protein Folding 9:48

3d ago9:48

9:48

Solving an impossible mystery... forget what you thought was possible! This is a discussion of a video from Stanford's CS224W course which focuses on the many applications of graph machine learning, a field that utilizes graph data structures to solve complex problems. The speaker highlights different tasks and their associated applications, classi…

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Does RAG Even Scale? EyeLevel vs LangChain 7:55

4d ago7:55

7:55

A research team from EyeLevel.ai has found that vector databases, which are commonly used in RAG (Retrieval-Augmented Generation) systems, have a scaling problem. Their research shows that the accuracy of vector similarity search degrades significantly as the number of pages in the database increases, leading to a substantial performance hit. This …

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Founders Funnel Previous $40M Series B into NEW AI Venture OutRival 8:41

14h ago8:41

8:41

Founders Funnel Previous $40M Series B into NEW AI Venture OutRival My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www.skool.com/aihustle/about

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WHY Are Probability And Stats Foundational to ML and DL? 13:39

4d ago13:39

13:39

Probability and statistics are fundamental components of machine learning (ML) and deep learning (DL) because they provide the mathematical framework for understanding and analyzing data, which is crucial for making predictions and decisions. This excerpt from the "Dive into Deep Learning" documentation explains the essential concepts of probabilit…

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Finally? Super-Accurate Weather Forecasts with AI 8:04

7d ago8:04

8:04

This research paper examines a new deep-learning approach to optimizing weather forecasts by adjusting initial conditions. The authors test their method on the 2021 Pacific Northwest heatwave, finding that small changes to initial conditions can significantly improve the accuracy of 10-day forecasts using both the GraphCast and Pangu-Weather deep-l…

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$3.1M Raised by AI Video Clone Beyond Presence 7:31

1d ago7:31

7:31

In this episode, we discuss how AI video clone company Beyond Presence raised $3.1M to accelerate its growth and development. We explore the potential impact of this funding on the company's future in the AI industry. My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community:…

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Anthropic CEO's AI Predictions for 5-10 Years 15:15

8d ago15:15

15:15

In this episode, we explore the key predictions made by Anthropic's CEO about the future of AI over the next decade. We discuss how these forecasts could impact industries and the AI landscape globally. My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www.sk…

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Let's Descend: Why Calculus is Important in Deep Learning 11:00

5d ago11:00

11:00

An introduction to the fundamental concepts of calculus, explaining how they are essential for understanding deep learning. It begins by illustrating the concept of a limit using the calculation of a circle's area, before introducing the concept of a derivative, which describes a function's rate of change. It then extends these concepts to multivar…

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ML Models for Safety-Critical Systems with Lucas García - #705 1:16:06

6h ago1:16:06

1:16:06

Today, we're joined by Lucas García, principal product manager for deep learning at MathWorks to discuss incorporating ML models into safety-critical systems. We begin by exploring the critical role of verification and validation (V&V) in these applications. We review the popular V-model for engineering critical systems and then dig into the “W” ad…

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OMG OpenAI's o1 is a LogicQuake! The AI Reasoning Layer, Sequoia Capital 6:42

5d ago6:42

6:42

The source, "Generative AI's Act o1: The Reasoning Era Begins | Sequoia Capital," discusses the evolution of AI models from simply mimicking patterns to engaging in more deliberate reasoning. The authors argue that the next frontier in AI is the development of "System 2" thinking, where models can reason through complex problems and make decisions …

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Assemble Your Team! OpenAI's Swarm 8:43

8d ago8:43

8:43

Swarm is an experimental, educational framework from OpenAI that explores ergonomic interfaces for multi-agent systems. It is not intended for production use, but serves as a learning tool for developers interested in multi-agent orchestration. Swarm uses two main concepts: Agents and handoffs. Agents are entities that encapsulate instructions and …

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Bio-Origami: The 2024 Nobel Prize in Chemistry for AI Protein Folding (DeepMind) 10:49

5d ago10:49

10:49

The provided sources detail the groundbreaking work of three scientists who were awarded the 2024 Nobel Prize in Chemistry for their contributions to protein structure prediction using artificial intelligence. David Baker, a biochemist, developed a computer program to create entirely new proteins, while Demis Hassabis and John Jumper, from Google D…

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Anthropic Controversy: Dario Amodei's Machines of Loving Grace Post 13:40

9d ago13:40

13:40

Dario Amodei, CEO of Anthropic, argues that powerful AI could revolutionize various fields, including healthcare, neuroscience, economics, and governance, within 5-10 years. He envisions a future where AI could cure most diseases, eradicate poverty, and even promote democracy. However, this optimistic vision is met with skepticism from Reddit users…

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RAG for LLMs: An Overview 19:34

10d ago19:34

19:34

This paper examines the rapidly developing field of Retrieval-Augmented Generation (RAG), which aims to improve the capabilities of Large Language Models (LLMs) by incorporating external knowledge. The paper reviews the evolution of RAG paradigms, from the early "Naive RAG" to the more sophisticated "Advanced RAG" and "Modular RAG" approaches. It e…

1
Certainty and OOD Detection in Medical Images and Multiple Sclerosis 7:14

8h ago7:14

7:14

This research paper investigates the challenges of detecting Out-of-Distribution (OOD) inputs in medical image segmentation tasks, particularly in the context of Multiple Sclerosis (MS) lesion segmentation. The authors propose a novel evaluation framework that uses 14 different sources of OOD, including synthetic artifacts and real-world variations…

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LLM DIFF Transformer with SoftMax Subtraction 12:48

8h ago12:48

12:48

This paper presents a new architecture for large language models called DIFF Transformer. The paper argues that conventional Transformers over-allocate attention to irrelevant parts of the input, drowning out the signal needed for accurate output. DIFF Transformer tackles this issue by using a differential attention mechanism that subtracts two sof…

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Data Pruning to Improve AI Performance 17:00

11d ago17:00

17:00

The source is a blog post that describes the author's journey in exploring the potential of data pruning to improve the performance of AI models. They start by discussing the Minipile method, a technique for creating high-quality datasets by clustering and manually discarding low-quality content. The author then explores the concept of "foundationa…

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OpenAI's o1 and Journey Learning 7:28

8h ago7:28

7:28

This paper details the authors' research journey to replicate OpenAI's "O1" language model, which is designed to solve complex reasoning tasks. The researchers document their process with detailed insights, hypotheses, and challenges encountered. They present a novel paradigm called "Journey Learning" that enables models to learn the complete explo…

1
Forward and Backpropagation 6:25

8h ago6:25

6:25

Let's get into the core processes of forward propagation and backpropagation in neural networks, which form the foundation of training these models. Forward propagation involves calculating the outputs of a neural network, starting with the input layer and moving towards the output layer. Backpropagation then calculates the gradients of the network…

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MLE-bench for Engineering Tasks 10:23

14h ago10:23

10:23

This research introduces MLE-bench, a benchmark for evaluating how well AI agents perform machine learning engineering tasks. The benchmark is comprised of 75 Kaggle competitions, chosen for their difficulty and representativeness of real-world ML engineering skills. Researchers evaluated several state-of-the-art language models on MLE-bench, findi…

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Numeric Raises $28M for AI to Kill Accounting 11:09

6d ago11:09

11:09

In this episode, we explore how Numeric has raised $28 million to develop AI technology aimed at transforming the accounting industry. We discuss what this means for the future of accounting and how AI could streamline financial processes. My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join m…

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AI in Dentistry: CNNs for Segmenting and Classifying Dental Images 8:33

12d ago8:33

8:33

This systematic literature review investigates the use of convolutional neural networks (CNNs) for segmenting and classifying dental images. The review analyzes 45 studies that employed CNNs for various tasks, including tooth detection, periapical lesion detection, caries identification, and age and sex determination. The authors explore the differ…

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AI in Dentistry: Diagnosing TMD with MRIs 7:14

12d ago7:14

7:14

This research paper proposes an AI-driven diagnostic system for Temporomandibular Joint Disorders (TMD) using MRI images. The system employs a segmentation method to identify key anatomical structures like the temporal bone, temporomandibular joint (TMJ) disc, and condyle. Using these identified structures, the system utilizes a decision tree based…

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AI in Dentistry: ChatGPT for Dental Diagnosis and Treatment 9:25

12d ago9:25

9:25

This research explores the potential for integrating ChatGPT and large language models (LLMs) into dental diagnostics and treatment. The authors investigate the use of these AI tools in various areas of dentistry, including diagnosis, treatment planning, patient education, and dental research. The study examines the benefits and limitations of LLMs…

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AI in Dentistry: OMG, Machine Learning that links TMD and OSA 12:28

1d ago12:28

12:28

This research paper explores the link between temporomandibular disorder (TMD) and obstructive sleep apnea (OSA). The authors created a machine learning algorithm to predict the presence of OSA in TMD patients using multimodal data, including clinical characteristics, portable polysomnography, X-ray, and MRI. Their model achieved high accuracy, wit…

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AI in Dentistry: Reading Intraoral Radiographs 5:13

12d ago5:13

5:13

This article describes a clinical validation study that investigates the effectiveness of a deep learning algorithm for detecting dental anomalies in intraoral radiographs. The algorithm is trained to detect six common anomaly types and is compared to the performance of dentists who evaluate the images without algorithmic assistance. The study util…

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AI in Dentistry: 3D X-Rays? Cone Beam Computed Tomography 8:16

1d ago8:16

8:16

Read more: https://arxiv.org/pdf/2306.03025Oleh Brian Carter

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AI in Dentistry: Design and create new teeth... VF Net for Dental Point Clouds 7:40

1d ago7:40

7:40

This paper introduces a new variational autoencoder called VF-Net, specifically designed for dental point clouds. The paper highlights the limitations of existing point cloud models and how VF-Net overcomes them through a novel approach, ensuring a one-to-one correspondence between points in the input and output clouds. The paper also introduces a …

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AI in Dentistry: Detecting occlusal contacts in dental images with AI 10:42

1d ago10:42

10:42

This research paper focuses on the development of a deep learning model, Hierarchical Fully Convolutional Branch Transformer (H-FCBFormer), designed to automatically detect occlusal contacts in dental images. The model utilizes a combination of Vision Transformer and Fully Convolutional Network architectures and incorporates a Hierarchical Loss Fun…

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AI in Dentistry: Mental Foramen Detection and Segmentation 8:45

1d ago8:45

8:45

This research paper explores the use of deep learning to improve the accuracy of detecting and segmenting the mental foramen in dental orthopantomogram images. The authors compared the performance of various deep learning models, including U-Net, U-Net++, ResUNet, and LinkNet, using a dataset of 1000 panoramic radiographs. The study found that the …

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An Intro and History of Knowledge Graphs 8:21

1d ago8:21

8:21

This article from AI Magazine explores the rise of knowledge graphs (KGs) as a powerful tool for organizing and integrating information. It delves into the history of KGs, highlighting their evolution from early semantic networks to the large-scale, complex systems we see today. The article contrasts key approaches to building and using KGs, includ…

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LLMs, Knowledge Graphs, and Hallucination 8:55

2d ago8:55

8:55

This research paper examines the relationship between the size of language models (LMs) and their propensity to hallucinate, which occurs when an LM generates information that is not present in its training data. The authors specifically focus on factual hallucinations, where a correct answer appears verbatim in the training set. To control for the…

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Towards high-quality (maybe synthetic) datasets 57:04

1d ago57:04

57:04

As Argilla puts it: “Data quality is what makes or breaks AI.” However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein & Ben Burtenshaw, who are building Argilla & Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generatio…

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KoBold Raises $491M Using AI to Find World Biggest Mine 10:16

14d ago10:16

10:16

Why KoBold raised $491M and how they are using AI to find the worlds biggest copper mines. My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www.skool.com/aihustle/about

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AIs Improving Themselves? Automated Design of Agentic Systems 7:37

14d ago7:37

7:37

The paper proposes a new research area called Automated Design of Agentic Systems (ADAS), which aims to automatically create powerful AI systems, including inventing new components and combining them in novel ways. The authors introduce Meta Agent Search, an algorithm that uses a meta agent to iteratively program increasingly sophisticated agents b…

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The Secret School for the World’s Best Startup Founders 11:45

14d ago11:45

11:45

This article from The Generalist examines Avra Capital, a new kind of venture fund founded by Anu Hariharan, a former Y Combinator executive. Avra’s unique approach combines a selective program for growth-stage entrepreneurs with a venture fund. The program provides founders with tactical masterclasses, taught by experienced CEOs, covering crucial …

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AI Art, DiTs and the new Dynamic Diffusion Transformer (DyDiT) 14:21

14d ago14:21

14:21

The provided sources describe a novel approach, Dynamic Diffusion Transformer (DyDiT), designed to improve the computational efficiency of Diffusion Transformer (DiT) models for image generation. DyDiT dynamically adapts its computational resources based on the varying complexities associated with different timesteps and spatial regions during imag…

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Bye James Cameron! Meta AI's NEW Movie Gen Model 11:29

14d ago11:29

11:29

This research paper from Meta AI describes "Movie Gen," a series of foundational models capable of generating high-quality videos and synchronized audio. The paper discusses the models' capabilities, including text-to-video synthesis, video personalization, video editing, and audio generation. It outlines the architecture, training process, and eva…

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Aha! Helping StartUp Developers Give a @#$ About Your Product 12:52

14d ago12:52

12:52

This article, written by the Head of Developer Community at SignalFire, a venture capital firm, provides a guide for startup founders on how to develop a successful developer relations strategy. The author emphasizes the importance of focusing on the "aha" moment, or the point at which developers experience the core value of a product. The article …

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