The Future is Visual: The Image Search Revolution

Imagine looking for a specific type of clothing, not by describing it, but by showing a picture of something that looks like it. Or finding a hard-to-find bird among an enormous group of pictures, by simply submitting a photo. We’re moving beyond keywords and leveraging the power of visual resemblance, opening up a universe of … Read more

Meta’s $10 Billion Bet: Building an Undersea Cable Empire to Power Its AI Future

The internet doesn’t run on satellites or Wi-Fi alone, it runs through a web of undersea cables stretching across the ocean floor. 99% of global internet traffic – your DMs, video calls, cat memes zips through fiber optic cables laid across ocean floors. For decades, telecom giants and governments have been the gatekeepers of these digital … Read more

INE Alert: $16.6 Billion In Cyber Losses Underscore Critical Need For Advanced Security Training

Cary, North Carolina, June 2nd, 2025/CyberNewsWire/–INE Security, a global leader in cybersecurity training and certification, is emphasizing the urgent need for technical cybersecurity professionals who can detect, analyze, and neutralize threats once they’ve bypassed initial defenses. The FBI’s latest Internet Crime Complaint Center (IC3) Annual Report reveals a stark reality: cybercriminals extracted a record $16.6 … Read more

Refactoring 029 – How to Replace NULL With Collection

Transform optional attributes into empty collections for cleaner, safer, and polymorphic code, banishing the billion-dollar mistake TL;DR: Replace nullable optional attributes with empty collections to eliminate null checks and leverage polymorphism. Problems Addressed 😔 Nulls reference exceptions Excessive conditional logic and IFs Fragile error handling Optional Attributes Complex validation code Polymorphism Violation Related Code Smells … Read more

Trust Wallet Launches Buy+, Powered By Binance Connect, To Simplify Crypto Access

DUBAI, UAE — June 2, 2025 — Trust Wallet, the world’s leading self-custody Web3 wallet trusted by over 200 million users, has launched Buy+, a new feature powered by Binance Connect, to simplify crypto access for users worldwide and make onboarding easier for newcomers. The feature allows anyone to purchase tokens on BNB Chain, Base … Read more

The HackerNoon Newsletter: Bet on the Future of Software Development (6/2/2025)

How are you, hacker? 🪐 What’s happening in tech today, June 2, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Netscape Produced Navio to Compete With Microsoft in 1996, J.Gibbs Patented The First Chain-Stitch Single-Thread Sewing Machine in 1857, NASA Launched the UK-6 Into Space in 1979, Queen … Read more

How Many Examples Does AI Really Need? New Research Reveals Surprising Scaling Laws

Table of Links Abstract and 1 Introduction 2 Related Work 3 Methods and 3.1 Models 3.2 Datasets 3.3 Evaluation Metrics 4 Results and 4.1 Increasing number of demonstrating examples 4.2 Impact of batching queries 4.3 Cost and latency analysis 5 Discussion 6 Conclusion and References A. Prompts used for ICL experiments B. Prompt selection C. … Read more

The Science Behind Many-Shot Learning: Testing AI Across 10 Different Vision Domains

Table of Links Abstract and 1 Introduction 2 Related Work 3 Methods and 3.1 Models 3.2 Datasets 3.3 Evaluation Metrics 4 Results and 4.1 Increasing number of demonstrating examples 4.2 Impact of batching queries 4.3 Cost and latency analysis 5 Discussion 6 Conclusion and References A. Prompts used for ICL experiments B. Prompt selection C. … Read more

Why Thousands of Examples Beat Dozens Every Time

:::info Authors: (1) Yixing Jiang, Stanford University (jiang6ord@cs.stanford.edu); (2) Jeremy Irvin, Stanford University (jirvin16@cs.stanford.edu); (3) Ji Hun Wang, Stanford University (mahmedch@stanford.edu); (4) Muhammad Ahmed Chaudhry, Stanford University (mahmedch@stanford.edu); (5) Jonathan H. Chen, Stanford University (jonc101@stanford.edu); (6) Andrew Y. Ng, Stanford University (ang@cs.stanford.edu). ::: Table of Links Abstract and 1 Introduction 2 Related Work 3 Methods … Read more

AI Transforms 800K+ Grocery Transactions into Smart Insights

:::info Authors: (1) Saketh Reddy Karra, University of Illinois Chicago, 601 S Morgan St, Chicago, IL 60607, United States; (2) Theja Tulabandhula, University of Illinois Chicago, 601 S Morgan St, Chicago, IL 60607, United States. ::: Table of Links Abstract and 1 Introduction 2. Related Work 3. Preliminaries 4. The InteraSSort Framework 5. Illustration 6. … Read more

Meet Leobit: HackerNoon Company of the Week

We are back with another Company of the Week feature! Every week, we share an awesome tech brand from our tech company database, making their evergreen mark on the internet. This unique HackerNoon database ranks S&P 500 companies and top startups of the year alike. This week, we are proud to present Leobit, a .NET, AI, and web … Read more

What Conway, Ants, and Apache Kafka Can Teach Us About AI System Design

Fractal Designs, Simple to Complex (Source) Complex systems emerge from simple parts. Bits form bytes, letters form words, and basic arithmetic builds into entire mathematical models. In software, microservices become platforms like Netflix. This pattern, small components combining into powerful wholes, is the foundation of complexity itself. The great gift to the world that technologies … Read more

The AI Framework That Makes Optimization as Easy as Chatting

:::info Authors: (1) Saketh Reddy Karra, University of Illinois Chicago, 601 S Morgan St, Chicago, IL 60607, United States; (2) Theja Tulabandhula, University of Illinois Chicago, 601 S Morgan St, Chicago, IL 60607, United States. ::: Table of Links Abstract and 1 Introduction 2. Related Work 3. Preliminaries 4. The InteraSSort Framework 5. Illustration 6. … Read more

Standing on AI Giants: How InteraSSort Builds on Marketing and Tool Integration Research

:::info Authors: (1) Saketh Reddy Karra, University of Illinois Chicago, 601 S Morgan St, Chicago, IL 60607, United States; (2) Theja Tulabandhula, University of Illinois Chicago, 601 S Morgan St, Chicago, IL 60607, United States. ::: Table of Links Abstract and 1 Introduction 2. Related Work 3. Preliminaries 4. The InteraSSort Framework 5. Illustration 6. … Read more

Chat Your Way to Better Shelves: InteraSSort Revolutionizes Retail Assortment Planning

:::info Authors: (1) Saketh Reddy Karra, University of Illinois Chicago, 601 S Morgan St, Chicago, IL 60607, United States; (2) Theja Tulabandhula, University of Illinois Chicago, 601 S Morgan St, Chicago, IL 60607, United States. ::: Table of Links Abstract and 1 Introduction 2. Related Work 3. Preliminaries 4. The InteraSSort Framework 5. Illustration 6. … Read more

Tech Stacks to Consider Based on Your Project Scope

1. Why Tech Stack Alignment is Strategic, Not Just Technical Choosing the right tech stack is a pivotal decision that sets the trajectory of your product’s future. For CEOs, especially those navigating distributed development, this decision goes beyond frameworks and syntax. It is about product-market fit, hiring velocity, scalability, security, and cost. Yet, the conversation … Read more

Cross-Device Ethereum Login: Authenticate Desktop Users via MetaMask Mobile in PHP

Crypto wallets like MetaMask are primarily designed to manage crypto assets. However, they also serve as ideal tools for implementing passwordless login systems, since they provide the same strong level of security used to protect those digital assets. In this article, I’ll demonstrate a solution that allows users to log in to a desktop website … Read more

PreCorrector Takes the Lead: How It Stacks Up Against Other Neural Preconditioning Methods

:::info Authors: (1) Vladislav Trifonov, Skoltech (vladislav.trifonov@skoltech.ru); (2) Alexander Rudikov, AIRI, Skoltech; (3) Oleg Iliev, Fraunhofer ITWM; (4) Ivan Oseledets, AIRI, Skoltech; (5) Ekaterina Muravleva, Skoltech. ::: Table of Links Abstract and 1 Introduction 2 Neural design of preconditioner 3 Learn correction for ILU and 3.1 Graph neural network with preserving sparsity pattern 3.2 PreCorrector … Read more

PreCorrector Proves Its Worth: Classical Preconditioners Meet Their Neural Match

:::info Authors: (1) Vladislav Trifonov, Skoltech (vladislav.trifonov@skoltech.ru); (2) Alexander Rudikov, AIRI, Skoltech; (3) Oleg Iliev, Fraunhofer ITWM; (4) Ivan Oseledets, AIRI, Skoltech; (5) Ekaterina Muravleva, Skoltech. ::: Table of Links Abstract and 1 Introduction 2 Neural design of preconditioner 3 Learn correction for ILU and 3.1 Graph neural network with preserving sparsity pattern 3.2 PreCorrector … Read more

Teaching Old Preconditioners New Tricks: How GNNs Supercharge Linear Solvers

:::info Authors: (1) Vladislav Trifonov, Skoltech (vladislav.trifonov@skoltech.ru); (2) Alexander Rudikov, AIRI, Skoltech; (3) Oleg Iliev, Fraunhofer ITWM; (4) Ivan Oseledets, AIRI, Skoltech; (5) Ekaterina Muravleva, Skoltech. ::: Table of Links Abstract and 1 Introduction 2 Neural design of preconditioner 3 Learn correction for ILU and 3.1 Graph neural network with preserving sparsity pattern 3.2 PreCorrector … Read more