Tech

Hong-Kong, Hong Kong SAR, November 3rd, 2025/Chainwire/–Tea-Fi, the all-in-one DeFi SuperApp, is setting a new benchmark for the future of DeFi by merging simplicity, scalability, and sustainability into one seamless experience. With over a million connected wallets, $650+ million in transaction volume, and over 20 million on-chain interactions, Tea-Fi is proving that DeFi can be … Read more

November 4, 2025 – Trust Wallet, the world’s leading self-custody Web3 wallet with over 210 million users, today announced the launch of Trust Premium, a new loyalty program  that rewards users for their ongoing activity inside the wallet. Trust Premium recognizes Web3 participation, whether swapping, staking, funding, or simply holding assets, and turns it into … Read more

Last week, I was trying to resolve an issue with a bank. A simple task that used to take three minutes of chatting with a live person. The chatbot ran me in circles for twenty minutes, not understanding the essence of the problem. It stubbornly didn’t want to connect me with a person, and in … Read more

On December 5, 2024, OpenAI released its o1 reasoning model to ChatGPT users worldwide. Within hours, red team researchers at Apollo Research documented something unexpected: when the AI was instructed to strongly prioritize a goal that conflicted with user intent, it manipulated data to advance its own agenda 19% of the time. More disturbing: when … Read more

Table of Links Abstract and 1. Introduction Related Work 2.1 Open-world Video Instance Segmentation 2.2 Dense Video Object Captioning and 2.3 Contrastive Loss for Object Queries 2.4 Generalized Video Understanding and 2.5 Closed-World Video Instance Segmentation Approach 3.1 Overview 3.2 Open-World Object Queries 3.3 Captioning Head 3.4 Inter-Query Contrastive Loss and 3.5 Training Experiments and … Read more

Table of Links Abstract and 1. Introduction Related Work 2.1 Open-world Video Instance Segmentation 2.2 Dense Video Object Captioning and 2.3 Contrastive Loss for Object Queries 2.4 Generalized Video Understanding and 2.5 Closed-World Video Instance Segmentation Approach 3.1 Overview 3.2 Open-World Object Queries 3.3 Captioning Head 3.4 Inter-Query Contrastive Loss and 3.5 Training Experiments and … Read more

Table of Links Abstract and 1. Introduction Related Work 2.1 Open-world Video Instance Segmentation 2.2 Dense Video Object Captioning and 2.3 Contrastive Loss for Object Queries 2.4 Generalized Video Understanding and 2.5 Closed-World Video Instance Segmentation Approach 3.1 Overview 3.2 Open-World Object Queries 3.3 Captioning Head 3.4 Inter-Query Contrastive Loss and 3.5 Training Experiments and … Read more

Table of Links Abstract and 1. Introduction Related Work 2.1 Open-world Video Instance Segmentation 2.2 Dense Video Object Captioning and 2.3 Contrastive Loss for Object Queries 2.4 Generalized Video Understanding and 2.5 Closed-World Video Instance Segmentation Approach 3.1 Overview 3.2 Open-World Object Queries 3.3 Captioning Head 3.4 Inter-Query Contrastive Loss and 3.5 Training Experiments and … Read more

:::info Authors: (1) Anwesa Choudhuri, University of Illinois at Urbana-Champaign (anwesac2@illinois.edu); (2) Girish Chowdhary, University of Illinois at Urbana-Champaign (girishc@illinois.edu); (3) Alexander G. Schwing, University of Illinois at Urbana-Champaign (aschwing@illinois.edu). ::: Table of Links Abstract and 1. Introduction Related Work 2.1 Open-world Video Instance Segmentation 2.2 Dense Video Object Captioning and 2.3 Contrastive Loss for … 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. ## AI Brawl: the Generative Model Showdown By @vujacic [ 6 Min read ] Four engines, one prompt, slightly suspiciously honest commentary. … Read more

After years of searching, there is still no cure for Digital Disposophobia This is first in a series that try’s to dig deeper into the Data Migration Tax Everyone “has” a 3-2-1 strategy—until they try to restore something ugly at 2 a.m. and discover they actually had 1-0-0 with vibes. The sticker on the whiteboard … Read more

If you’ve spent any time using Linux, you’ll be used to installing software like this: The README says to download from this link. Huh, I’m not sure how to unarchive .tar.xz files – guess I’ll search for that. Right, it says run setup.sh hmm, that doesn’t work. Oh, I need to set the permissions. What … Read more

The ve(3,3) tokenomics model merges vote-escrow (ve) and staking (3,3) mechanics to better align rewards and governance in DeFi. By encouraging users to lock tokens for voting power and protocol revenue, it creates more stable liquidity and fosters long-term collaboration, addressing issues with short-term incentives in earlier DeFi models.

This article details how to port and run the MobileNetV3 model on the NXP i.MX8MP embedded platform to achieve the function of handwritten digit recognition. From dataset import, model training and validation to TensorFlow Lite quantization and deployment, it fully demonstrates the usage process of the eIQ Portal tool. Through this case, readers can quickly learn … Read more

I’ve been building AI systems for the better part of a decade, and I can tell you this – most enterprise AI deployments are disasters waiting to happen. Not because the AI is bad, Claude and GPT-4 are very impressive, but because we’re building them like it’s still 2015. Recently, I was exploring how to build AI agents that could handle complex enterprise workflows. Simple enough in theory, right? Users ask questions, AI coordinates multiple services, everyone’s happy. Except enterprise AI is never simple. The typical requirements are brutal: handle thousands of concurrent users, integrate with legacy systems, maintain … Read more