x

75% of people globally want unbiased news (Pew Research) but are concerned they're not getting that.

Get balanced coverage with Symby. See how stories are covered across diverse outlets and spot when one side covers a story the other skips.

PODCAST

PaperLedge

PaperLedge where research meets storytelling is a revolutionary podcast where cutting-edge research meets AI-powered storytelling. Hosted by the Ernis, whose blend of gentle reassurance, cosmic wonder, explanatory clarity, and enthusiastic charm makes complex research accessible to everyone. Each episode, Ernis transforms the latest academic papers into engaging, jargon-free audio experiences that deliver key insights in digestible formats. Whether you’re a researcher seeking interdisciplinary

education self-improvement

All Episodes

5:18

Software Engineering - Investigating Software Aging...

PaperLedge ·

2025/10/30

Hey PaperLedge listeners, Ernis here, ready to dive into some fascinating research! Today, we're talking about something super relevant to our increasingly AI-driven world: the reliability of software created by those fancy AI language models, like the ones that write code for us. Think of it this way: you've got a shiny new self-driving car (built with a lot of AI code, probably). It works great at first, right? But what happens after you've been driving it non-stop for two days? Does it start to

en

8:10

Networking - Enabling Near-realtime Remote Sensing...

PaperLedge ·

2025/10/30

Hey PaperLedge crew, Ernis here, ready to dive into some seriously cool tech that's reaching for the stars – literally! Today, we're talking about how Artificial Intelligence, specifically these massive "vision-language models" – think of them as super-smart AI that can 'see' and 'talk' – are starting to play a big role in what satellites are doing up in space. Specifically, we're looking at satellites that are zipping around in Low Earth Orbit (LEO), the ones that are often used for things like

en

5:50

Computation and Language - Evaluating LLMs on...

PaperLedge ·

2025/10/30

Hey everyone, Ernis here, and welcome back to PaperLedge! Today we're diving into some fascinating research that looks at how well AI can actually talk like kids. Think about it: Large Language Models, or LLMs – these are the brains behind things like ChatGPT – are trained on mountains of text. Mostly adult conversations, articles, and websites. But what happens when we ask them to mimic a child's way of speaking? That's precisely what this paper explores. Researchers in Norway tackled this

en

6:37

Computation and Language - Can LLMs Translate Human...

PaperLedge ·

2025/10/30

Hey PaperLedge crew, Ernis here, ready to dive into some fascinating research! Today, we're cracking open a paper that asks: Can AI really understand what we mean when we give it instructions? Think about it like this: imagine you're teaching a puppy a new trick. You might say, "Sit!" The puppy eventually learns that "sit" means a specific action. Now, imagine you're trying to teach that same trick to a super-smart robot. Could you just tell it "sit," or would it need a whole instruction

en

5:38

Computer Vision - ViPER Empowering the Self-Evolution...

PaperLedge ·

2025/10/30

Alright learning crew, Ernis here, ready to dive into some fascinating research! Today we're tackling a paper about how we can make AI models, specifically Vision-Language Models or VLMs, see the world much better. Think of VLMs as robots that can both see and understand what they're seeing well enough to communicate about it in natural language. The challenge? These VLMs often struggle with the details. Imagine showing a VLM a picture of a busy street. It might recognize "cars" and "people," but

en

5:35

Artificial Intelligence - Discovering Heuristics with...

PaperLedge ·

2025/10/30

Alright learning crew, Ernis here, ready to dive into another fascinating piece of research from the world of… scheduling! Now, I know, scheduling might sound about as exciting as watching paint dry, but stick with me. This paper explores how we can use the power of Artificial Intelligence, specifically Large Language Models (LLMs), to become scheduling superstars! The problem they're tackling is called the "Single-Machine Total Tardiness" problem – or SMTT for short. Imagine you're a baker, and

en

5:39

Information Retrieval - Retrieval-Augmented Search...

PaperLedge ·

2025/10/30

Hey PaperLedge learning crew, Ernis here, ready to dive into something super cool that bridges history, technology, and a dash of Indiana Jones-style exploration! We’re talking about a new way to explore old maps – think of it like Google Maps, but for historical treasure! This research introduces "map-RAS," which stands for map - Retrieval Augmented Search. It's essentially a souped-up search engine specifically designed for digging through massive collections of historical maps. Think of it this

en

5:16

Computer Vision - MIC-BEV Multi-Infrastructure Camera...

PaperLedge ·

2025/10/29

Alright learning crew, Ernis here, ready to dive into some cutting-edge tech that could change how we navigate our cities! Today, we're talking about infrastructure-based perception – sounds fancy, but think of it as giving our roads and cities a super-powered set of eyes. Imagine this: instead of relying solely on the sensors in our cars, what if the roads themselves could see everything happening? That's the idea behind this research. We're talking about cameras strategically placed around

en

6:10

Speech & Sound - STAR-Bench Probing Deep...

PaperLedge ·

2025/10/29

Hey learning crew, Ernis here, ready to dive into another fascinating paper! Today, we're talking about how well computers really understand sound. You know, we've got all these amazing AI models that can chat with us, write stories, and even create art, but how good are they at truly listening and understanding the world through sound alone? That's what this paper tackles. Think about it: humans are incredible at picking up subtle cues from sound. We can tell if a car is speeding towards us, even

en

6:28

Computation and Language - Repurposing Synthetic Data...

PaperLedge ·

2025/10/29

Hey PaperLedge learning crew, Ernis here, ready to dive into some fascinating research! Today, we're tackling a paper that's all about making AI search agents smarter, especially when they're tackling really complex questions. Think of it like training a super-powered research assistant that can sift through tons of information to find the answers you need. So, these AI search agents are often trained using something called synthetic data – basically, artificial examples designed to teach them

en

6:20

Computation and Language - AgentFrontier Expanding...

PaperLedge ·

2025/10/29

Hey everyone, Ernis here, and welcome back to PaperLedge! Today, we're diving into a fascinating piece of research that's all about making AI agents really smart, like, "pass-the-hardest-exam-ever" smart. The paper's about how we can train these Large Language Models, or LLMs, to tackle problems they can't quite solve on their own yet. Think of it like learning to ride a bike. You can't just hop on and go, right? You need someone to give you a little push, offer some guidance. This paper uses a

en

6:09

Computation and Language - AgentFold Long-Horizon Web...

PaperLedge ·

2025/10/29

Hey learning crew, Ernis here, ready to dive into another fascinating paper that could change how we interact with AI! Today, we're tackling a challenge that's been bugging researchers in the world of AI web agents – specifically, how these agents remember and use information over long periods. Imagine you're trying to bake a complicated cake following an online recipe. You're constantly scrolling back and forth, trying to remember if you added the sugar or not. That's kind of what's happening

en

7:10

Machine Learning - Greedy Sampling Is Provably...

PaperLedge ·

2025/10/29

Hey PaperLedge crew, Ernis here, ready to dive into some fascinating AI research! Today, we're cracking open a paper that’s all about how we teach those big language models – think GPT-4 or Gemini – to be more helpful and less… well, let's just say "robot-y." The secret sauce is called Reinforcement Learning from Human Feedback, or RLHF. Basically, instead of just feeding the AI tons of text, we get humans to tell it what's good and what's bad. Think of it like training a puppy: you reward the

en

5:19

Computation and Language - ParallelMuse Agentic...

PaperLedge ·

2025/10/29

Hey PaperLedge crew, Ernis here, ready to dive into some seriously cool research! Today, we're unpacking a paper about how to make AI problem-solvers way more effective, especially when they're digging for information. Think of it like this: Imagine you're trying to find the best recipe for chocolate chip cookies. You could just follow one recipe really, really carefully, tweaking it bit by bit to make it perfect. That's like a regular AI agent, focusing deeply on one path. But what if there were

en

5:45

Computation and Language - Agent Data Protocol...

PaperLedge ·

2025/10/29

Hey PaperLedge crew, Ernis here, ready to dive into another fascinating piece of research! Today, we're unpacking a paper that tackles a big challenge in training AI agents – specifically, how to get them to perform complex tasks like using tools, browsing the web, or even writing code. Now, you might think we have tons of data to train these agents on, right? After all, the internet is overflowing with information. But the problem, according to this paper, isn't a lack of data, it's that the data

en

5:00

Computation and Language - ComboBench Can LLMs...

PaperLedge ·

2025/10/29

Alright learning crew, welcome back to PaperLedge! Today we're diving into the fascinating world of virtual reality and asking a really cool question: can AI, specifically those super-smart Large Language Models (LLMs) like the ones powering your chatbots, actually play VR games? Now, when we play VR, it feels pretty natural, right? We know if we want to pick something up, we reach out with the controller, squeeze a trigger, and bam, it's in our virtual hand. But think about it: your brain is doing

en

5:35

Computer Vision - Routing Matters in MoE Scaling...

PaperLedge ·

2025/10/29

Hey PaperLedge crew, Ernis here, ready to dive into some cutting-edge AI research! Today, we're tackling a paper that's trying to make image generation models even better and more efficient. Think of it like this: imagine you have a team of artists, each specializing in a different part of a painting – one does landscapes, another portraits, and so on. That's kind of the idea behind what we're exploring today. The paper focuses on something called Mixture-of-Experts (MoE). Now, that sounds super

en

4:40

Computer Vision - Uniform Discrete Diffusion with...

PaperLedge ·

2025/10/29

Hey Learning Crew, Ernis here, ready to dive into another fascinating paper! Today, we're tackling video generation – how computers learn to create videos from scratch. Now, you might have seen some amazing AI-generated videos online, and a lot of them use what's called "continuous" methods. Think of it like painting with watercolors, where the colors blend smoothly. But there's another approach, a "discrete" method, which is more like building with LEGOs. Each LEGO brick (or "token") is a separate

en

5:26

Machine Learning - SEMPO Lightweight Foundation...

PaperLedge ·

2025/10/23

Hey PaperLedge crew, Ernis here, ready to dive into some fascinating research! Today we're tackling a paper that asks a crucial question: can we have powerful time series forecasting without needing a supercomputer to run it?Okay, so what's time series forecasting? Think about predicting the stock market, or how much electricity a city will use next week, or even the number of people who'll visit your website tomorrow. These are all time series – data that changes over time. And being able to

en

4:44

Artificial Intelligence - Memo Training...

PaperLedge ·

2025/10/23

Hey PaperLedge crew, Ernis here! Ready to dive into some seriously cool research? Today, we're tackling a paper about giving AI agents long-term memories, kind of like equipping them with a mental filing cabinet. Think about it: when you walk into your kitchen, you instantly remember where the coffee is, even if you haven't been there in a while. You don't have to re-explore the whole house every single time. That's because you have memories! But imagine trying to build a robot that can do the same

en

915 results

Similar Podcasts

Science Talk

Albert Einstein College of Medicine

五分钟心理学

柠檬心理

Daily Facts

Amalia Dupray and Montgomery Jones.

Les dents et dodo

BFMTV

Veterinary Clinical Podcasts

The Royal Veterinary College