Vision (VSN) Has Arrived: The New Standard For User-Centric Token Ecosystems

Vienna, Austria, July 16th, 2025/Chainwire/–The Vision Token (VSN) has officially launched today, marking a new chapter for Web3 tokens. Vision is now available across major centralised exchanges and investment platforms including Kraken, KuCoin, Gate.io, Bitpanda and MEXC, as well as decentralised platforms such as Uniswap, opening the door to investors worldwide. Designed as the unifying … Read more

Solana Volume Bot: The Secret Weapon To Trending Your Token On Solana DEXs

Solana’s ecosystem is expanding rapidly, but standing out is more challenging than ever. Even strong tokens with solid utility often go unnoticed. That’s because visibility depends on trading volume, not just innovation. A Solana volume bot gives your token the momentum it needs to break through.  Simulating real trading activity helps you climb the ranks … Read more

How AI Detects Cancer in Whole Slide Images

:::info Authors: (1) Martim Afonso, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, Lisbon, 1049-001, Portugal; (2) Praphulla M.S. Bhawsar, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20850, Maryland, USA; (3) Monjoy Saha, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, … Read more

Snail, Inc. Announces Intent To Explore Proprietary USD-Backed Stablecoin

Culver City, United States, July 16th, 2025/Chainwire/–Snail, Inc. (Nasdaq: SNAL) (“Snail Games” or the “Company”), a leading global independent developer and publisher of interactive digital entertainment, announced its intention to explore pursuing a strategic digital asset initiative that includes the evaluation and feasibility for introduction of its own proprietary stablecoin. This initiative would be subject … Read more

Why Teams Are Ditching DynamoDB

Teams are leaving DynamoDB due to rising costs, latency issues, and AWS lock-in. ScyllaDB offers a DynamoDB-compatible API, lower latency, reduced costs, and multi-cloud flexibility. Case studies from Yieldmo, Digital Turbine, and a global streaming service show how ScyllaDB enables massive scale with fewer trade-offs and minimal migration effort.

Mobile Development Expert Opinion: Designing Apps for Real-World Work Environments

Mobile expert Mara Dimofte explains how enterprise apps must go beyond screen taps—focusing on hands-free, voice-first design for fieldwork. Her work at Rilla shows that real-world conditions demand new UX standards, contextual computing, and reliable offline support. The future of enterprise mobile lies in adaptive, AI-powered interfaces built for how people actually work.

Your Toolkit for Teaching at Scale: Lessons from a 1000-Student Haskell Course

Table of Links 1 Introduction 2 Course Structure and Conditions 2.1 Conditions 2.2 Syllabus 3 Lectures 4 Practical Part 4.1 Engagement Mechanisms 4.2 Technical Setup and Automated Assessment 4.3 Selected Exercises and Tools 5 Check Your Proof by Example 6 Exams 7 Related Work 8 Conclusion, Acknowledgements, and References 4 Practical Part 4.1 Engagement Mechanisms … Read more

How AI-Powered Chatbots Are Shaping the Future of Customer Engagement: The Openxcell Perspective

Openxcell explores how AI chatbots are reshaping customer engagement across industries—from healthcare to retail—using NLP, real-time data, and domain-specific solutions. With advanced features like emotion detection and multimodal input, Openxcell’s bots deliver smarter, scalable, and hyper-personalized interactions for the future.

Privacy Is Web3’s “0 To 1” Moment

Privacy isn’t a luxury, or even an upgrade. It’s a fundamental enabler that allows businesses and end users to engage with blockchain without fear or compromise. We are hurtling towards an age of digital immersion, facilitated and accelerated by AI. Our identities, the services we access, our voting and interactions with the state, and almost … Read more

New AI Model Shows Resilience Amid Sparse Point Cloud Data

Table of Links Abstract and 1. Introduction Related Work Method 3.1 Overview of Our Method 3.2 Coarse Text-cell Retrieval 3.3 Fine Position Estimation 3.4 Training Objectives Experiments 4.1 Dataset Description and 4.2 Implementation Details 4.3 Evaluation Criteria and 4.4 Results Performance Analysis 5.1 Ablation Study 5.2 Qualitative Analysis 5.3 Text Embedding Analysis Conclusion and References … Read more

How Apex Fusion and Well-Typed Are Shaping the Future of Institutional DeFi on Cardano

Will the future of decentralized finance, or DeFi, be built on foundations of verifiable accuracy and performance? This question underpins a recent collaboration in the blockchain sector. Apex Fusion, a protocol built on Cardano’s open-source framework, has partnered with Well-Typed, an engineering firm known for its involvement in Cardano’s core development. This partnership centres on … Read more

Too Scared to Ask? How We Solved the #1 Problem with Large University Lectures

Table of Links 1 Introduction 2 Course Structure and Conditions 2.1 Conditions 2.2 Syllabus 3 Lectures 4 Practical Part 4.1 Engagement Mechanisms 4.2 Technical Setup and Automated Assessment 4.3 Selected Exercises and Tools 5 Check Your Proof by Example 6 Exams 7 Related Work 8 Conclusion, Acknowledgements, and References 3 Lectures We used a mix … Read more

How 24 Special Queries Optimized a Neural Network’s Recall Rate

Table of Links Abstract and 1. Introduction Related Work Method 3.1 Overview of Our Method 3.2 Coarse Text-cell Retrieval 3.3 Fine Position Estimation 3.4 Training Objectives Experiments 4.1 Dataset Description and 4.2 Implementation Details 4.3 Evaluation Criteria and 4.4 Results Performance Analysis 5.1 Ablation Study 5.2 Qualitative Analysis 5.3 Text Embedding Analysis Conclusion and References … Read more

How Do You Teach I/O Before Monads? Inside a Radical Syllabus for a 1000-Student FP Course

Table of Links 1 Introduction 2 Course Structure and Conditions 2.1 Conditions 2.2 Syllabus 3 Lectures 4 Practical Part 4.1 Engagement Mechanisms 4.2 Technical Setup and Automated Assessment 4.3 Selected Exercises and Tools 5 Check Your Proof by Example 6 Exams 7 Related Work 8 Conclusion, Acknowledgements, and References 2 Course Structure and Conditions 2.1 … Read more

In Sparse Clouds and Ambiguous Texts, This AI Model Still Finds Its Way

Table of Links Abstract and 1. Introduction Related Work Method 3.1 Overview of Our Method 3.2 Coarse Text-cell Retrieval 3.3 Fine Position Estimation 3.4 Training Objectives Experiments 4.1 Dataset Description and 4.2 Implementation Details 4.3 Evaluation Criteria and 4.4 Results Performance Analysis 5.1 Ablation Study 5.2 Qualitative Analysis 5.3 Text Embedding Analysis Conclusion and References … Read more

From Campus to Cloud: Our Journey Teaching Functional Programming to Thousands During a Pandemic

:::info Authors: (1) Kevin Kappelmann, Department of Informatics, Technical University of Munich, Germany (kevin.kappelmann@tum.de); (2) Jonas Radle, Department of Informatics, Technical University of Munich, Germany (raedle@in.tum.de); (3) Lukas Stevens, Department of Informatics, Technical University of Munich, Germany (stevensl@in.tum.de). ::: Table of Links 1 Introduction 2 Course Structure and Conditions 2.1 Conditions 2.2 Syllabus 3 Lectures … Read more