Hackernoon

Torram takes the number 1 spot in two categories: Startup of the Year, Toronto – https://hackernoon.com/startups/north-america/north-america-toronto-canada?embedable=true Start up of the Year, Developer Tools – https://hackernoon.com/startups/industry/developer-tools?stup=671bc2b8680441f5b22d481c&embedable=true Tell us about you. Torram is building the first unified complete middleware infrastructure stack for institutional use cases on the Bitcoin network. We do this by enabling data infrastructure, institutional-grade … Read more

Crypto’s a wild beast. Bitcoin rockets, altcoins crash, and decentralized finance (DeFi) protocols chase yield in a market that swings like a pendulum. But tokenized real estate—a massive, underrated asset class—is poised to change the game. While barely recognized as a sector, tokenized real estate is a goldmine for investors. And for DeFi, it is … Read more

Table of Links Abstract and 1 Introduction 2 Preliminaries 3 TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction and 3.1 Learning Base Policies in Simulation with RL 3.2 Learning Residual Policies from Online Correction 3.3 An Integrated Deployment Framework and 3.4 Implementation Details 4 Experiments 4.1 Experiment Settings 4.2 Quantitative Comparison on Four Assembly … Read more

Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 3.1. Benefits scale with model size and 3.2. Faster inference 3.3. Learning global patterns with multi-byte prediction and 3.4. Searching for the optimal n 3.5. Training for multiple epochs and 3.6. Finetuning multi-token predictors 3.7. Multi-token prediction on natural language 4. … Read more

Table of Links Abstract and 1 Introduction 2 Preliminaries 3 TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction and 3.1 Learning Base Policies in Simulation with RL 3.2 Learning Residual Policies from Online Correction 3.3 An Integrated Deployment Framework and 3.4 Implementation Details 4 Experiments 4.1 Experiment Settings 4.2 Quantitative Comparison on Four Assembly … Read more

Table of Links Abstract and 1 Introduction 2 Preliminaries 3 TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction and 3.1 Learning Base Policies in Simulation with RL 3.2 Learning Residual Policies from Online Correction 3.3 An Integrated Deployment Framework and 3.4 Implementation Details 4 Experiments 4.1 Experiment Settings 4.2 Quantitative Comparison on Four Assembly … Read more

Table of Links Abstract and 1 Introduction 2 Preliminaries 3 TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction and 3.1 Learning Base Policies in Simulation with RL 3.2 Learning Residual Policies from Online Correction 3.3 An Integrated Deployment Framework and 3.4 Implementation Details 4 Experiments 4.1 Experiment Settings 4.2 Quantitative Comparison on Four Assembly … Read more

:::info Authors: (1) Yunfan Jiang, Department of Computer Science; (2) Chen Wang, Department of Computer Science; (3) Ruohan Zhang, Department of Computer Science and Institute for Human-Centered AI (HAI); (4) Jiajun Wu, Department of Computer Science and Institute for Human-Centered AI (HAI); (5) Li Fei-Fei, Department of Computer Science and Institute for Human-Centered AI (HAI). … Read more

As part of the Spacecoin Writing Contest, we’re challenging you to highlight a blockchain project that’s driven by more than just hype. Show us what it looks like when a blockchain is built around a clear, meaningful purpose. Tell us about a project you think gets it right, and why it matters, for a chance … Read more

I recently purchased several USB hubs advertised as supporting 10 Gbps speeds and decided to test their actual performance. Abstract: I bought some USB hubs that declare 10 Gbps and wanted to test them. In my experience, USB-related equipment often fails to deliver the advertised speeds, leading to slower-than-expected data transfers. 1 Purchasing Auxiliary USB … Read more

Insert a RAG layer to My Project, and My Experience with Cursor TL;DR My first article for the LangChain-MySQL project showed how a multi‑stage LangChain agent lets you ask natural‑language questions over MySQL. Heavy prompts and repeated LLM calls, however, made the system sluggish and prone to OpenAI “429 Too Many Requests” errors. What’s new in Part … Read more

InternationalDriversAssociation.com Hijacks Privacy Paradox to Sling Backlinks Because nothing says “trustworthy international driver’s license provider” like hijacking academic discussions on digital privacy to spam the internet with backlinks. That’s right, folks — InternationalDriversAssociation.com is currently associated with a “What in God’s Name Is This PR Campaign?” hall of fame. Let’s unpack this absurdity. Some ghost … Read more

:::info Authors: (1) Bo Wang, Beijing Jiaotong University, Beijing, China (wangbo_cs@bjtu.edu.cn); (2) Mingda Chen, Beijing Jiaotong University, Beijing, China (23120337@bjtu.edu.cn); (3) Youfang Lin, Beijing Jiaotong University, Beijing, China (yflin@bjtu.edu.cn); (4) Mike Papadakis, University of Luxembourg, Luxembourg (michail.papadakis@uni.lu); (5) Jie M. Zhang, King’s College London, London, UK (jie.zhang@kcl.ac.uk). ::: Table of Links Abstract and 1 Introduction … Read more

:::info Authors: (1) Bo Wang, Beijing Jiaotong University, Beijing, China (wangbo_cs@bjtu.edu.cn); (2) Mingda Chen, Beijing Jiaotong University, Beijing, China (23120337@bjtu.edu.cn); (3) Youfang Lin, Beijing Jiaotong University, Beijing, China (yflin@bjtu.edu.cn); (4) Mike Papadakis, University of Luxembourg, Luxembourg (michail.papadakis@uni.lu); (5) Jie M. Zhang, King’s College London, London, UK (jie.zhang@kcl.ac.uk). ::: Table of Links Abstract and 1 Introduction … Read more

:::info Authors: (1) Bo Wang, Beijing Jiaotong University, Beijing, China (wangbo_cs@bjtu.edu.cn); (2) Mingda Chen, Beijing Jiaotong University, Beijing, China (23120337@bjtu.edu.cn); (3) Youfang Lin, Beijing Jiaotong University, Beijing, China (yflin@bjtu.edu.cn); (4) Mike Papadakis, University of Luxembourg, Luxembourg (michail.papadakis@uni.lu); (5) Jie M. Zhang, King’s College London, London, UK (jie.zhang@kcl.ac.uk). ::: Table of Links Abstract and 1 Introduction … Read more

:::info Authors: (1) Bo Wang, Beijing Jiaotong University, Beijing, China (wangbo_cs@bjtu.edu.cn); (2) Mingda Chen, Beijing Jiaotong University, Beijing, China (23120337@bjtu.edu.cn); (3) Youfang Lin, Beijing Jiaotong University, Beijing, China (yflin@bjtu.edu.cn); (4) Mike Papadakis, University of Luxembourg, Luxembourg (michail.papadakis@uni.lu); (5) Jie M. Zhang, King’s College London, London, UK (jie.zhang@kcl.ac.uk). ::: Table of Links Abstract and 1 Introduction … Read more

:::info Authors: (1) Bo Wang, Beijing Jiaotong University, Beijing, China (wangbo_cs@bjtu.edu.cn); (2) Mingda Chen, Beijing Jiaotong University, Beijing, China (23120337@bjtu.edu.cn); (3) Youfang Lin, Beijing Jiaotong University, Beijing, China (yflin@bjtu.edu.cn); (4) Mike Papadakis, University of Luxembourg, Luxembourg (michail.papadakis@uni.lu); (5) Jie M. Zhang, King’s College London, London, UK (jie.zhang@kcl.ac.uk). ::: Table of Links Abstract and 1 Introduction … Read more

:::info Authors: (1) Bo Wang, Beijing Jiaotong University, Beijing, China (wangbo_cs@bjtu.edu.cn); (2) Mingda Chen, Beijing Jiaotong University, Beijing, China (23120337@bjtu.edu.cn); (3) Youfang Lin, Beijing Jiaotong University, Beijing, China (yflin@bjtu.edu.cn); (4) Mike Papadakis, University of Luxembourg, Luxembourg (michail.papadakis@uni.lu); (5) Jie M. Zhang, King’s College London, London, UK (jie.zhang@kcl.ac.uk). ::: Table of Links Abstract and 1 Introduction … Read more

:::info Authors: (1) Bo Wang, Beijing Jiaotong University, Beijing, China (wangbo_cs@bjtu.edu.cn); (2) Mingda Chen, Beijing Jiaotong University, Beijing, China (23120337@bjtu.edu.cn); (3) Youfang Lin, Beijing Jiaotong University, Beijing, China (yflin@bjtu.edu.cn); (4) Mike Papadakis, University of Luxembourg, Luxembourg (michail.papadakis@uni.lu); (5) Jie M. Zhang, King’s College London, London, UK (jie.zhang@kcl.ac.uk). ::: Table of Links Abstract and 1 Introduction … Read more

:::info Authors: (1) Bo Wang, Beijing Jiaotong University, Beijing, China (wangbo_cs@bjtu.edu.cn); (2) Mingda Chen, Beijing Jiaotong University, Beijing, China (23120337@bjtu.edu.cn); (3) Youfang Lin, Beijing Jiaotong University, Beijing, China (yflin@bjtu.edu.cn); (4) Mike Papadakis, University of Luxembourg, Luxembourg (michail.papadakis@uni.lu); (5) Jie M. Zhang, King’s College London, London, UK (jie.zhang@kcl.ac.uk). ::: Table of Links Abstract and 1 Introduction … Read more

Coral Protocol on Building the Internet of Agents for a Collaborative AI Economy As the age of siloed AI agents fades, a new paradigm is emerging, one where intelligent agents don’t just execute, but collaborate. Coral Protocol is pioneering this vision with infrastructure for decentralized agent communication, orchestration, and trust. We sit down with Roman … Read more

You don’t have to be a tech guru to know that AI has developed leaps and bounds beyond our expectations. Yes, artificial intelligence is the love child of data-driven analysis, and relentless computational ambition — raised on algorithms, and schooled in pattern recognition. We, as “proud parents,” now have several possible AI development paths ahead … Read more

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Decentralized Identity (DID) and KYC in Blockchain Gambling: Privacy vs. Compliance By @casinosblockchain [ 2 Min read ] Explore how Decentralized … Read more

Content Overview In TensorFlow 2, eager execution is turned on by default. The user interface is intuitive and flexible (running one-off operations is much easier and faster), but this can come at the expense of performance and deployability. You can use tf.function to make graphs out of your programs. It is a transformation tool that creates Python-independent dataflow graphs … Read more

Web3 moves fast. Blink and you’ll miss it. In this hyper-speed environment, user experience (UX) is everything. One feature that’s dominating the UX space in Web3 right now is in-app swaps. Think about it, users don’t want to be sending funds out of their wallet to another exchange, making manual swaps, and then sending them … Read more

In this fast-growing digital world, Technology continues to transform the financial sector rapidly, particularly through integrating cloud computing. The confluence of digital infrastructure and finance has opened new doors for enterprise innovation, requiring professionals to develop specialized skills that align with evolving industry standards. This article explores the multi-dimensional roadmap crafted by Sheetal Anand Tigadikar, … Read more

Smart Homes Break Too Imagine that a tenant comes home late at night, taps their phone to unlock the door, and nothing happens. The smart lock is frozen, and the app won’t respond. After a few calls, it turns out the system was never updated, and no one has the override code. Now what? Smart … Read more

As Web3 transitions from experimentation to real-world adoption, the infrastructure required to support modular, scalable, and interoperable dApps is undergoing a radical shift. At the helm of this transformation is Dana Love, PhD, an AI and blockchain veteran now serving as CTO of Andromeda. In this HackerNoon “Behind the Startup” interview, Dana sits down with … Read more

A Developer’s Guide to Mastering AI Collaboration, Boosting Efficiency, and Becoming an Indispensable AI Team Leader. The Rise of AI Coding Companions & Key Interaction Styles: A new generation of AI-powered coding assistants and editors is emerging, each offering unique ways to integrate AI into the development lifecycle. You might have heard of tools like GitHub … Read more

Local database setup is deceptively expensive. It introduces variance into your dev environments and bakes hidden assumptions into your codebase.