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Top 50 Deep Learning Use Case & Case Studies
Deep learning is a machine learning technique using artificial neural networks. When trained on large, high-quality datasets, it achieves high accuracy. This makes it useful in areas with abundant data where accurate predictions are valuable. Please see deep learning capabilities and its applications based on industry and function.
How to Protect Your Business from Website Cloning / Mirroring
Your business may be a mundane B2B business like ours, and you may think that you do not have to protect your website from attacks like cloning. You would be wrong. Eventually, your site may get cloned; it happened to us.
Quantum Entanglement: What is it & Why is it Important ?
Various industries are trying to solve time and processing power consuming problems using quantum computers to unlock valuable applications of quantum computing. The phenomena of quantum entanglement comes useful to cut down on the time and computing power to process information transfer between qubits. Entanglement enables tasks such as quantum cryptography, superdense coding, and teleportation.

Quantum Software Development Kits
Quantum Software Development Kit is a tool for developing quantum algorithms that can be used in quantum computers or simulators and emulators. See what quantum SDKs are in detail and what some examples of them are.
Deep Learning in Finance Top 11 Use Cases
Based on our analysis of deep learning applications in finance, we’ve identified 11 key use cases where AI-driven models are making an impact. These examples are drawn from real-world implementations across financial institutions and cover areas such as fraud detection, risk assessment, and investment strategies.
Top 10 Healthcare Analytics Use Cases with Examples
The $28 billion healthcare analytics marketis transforming how providers, payers, and life sciences organizations compete, and companies that move now can seize the advantage. By delivering solutions that drive predictive care, reduce costs, and optimize operations, analytics unlocks new revenue streams and strengthens customer loyalty in a healthcare industry racing toward data-driven performance.
Deep Learning in Healthcare: 12 Real-World Applications
The computing capability of deep learning models can enable fast, accurate, and efficient operations in patient care, R&D, and insurance. Key deep learning in healthcare includes: IDC claims that: Patient Care 1.
Top 10 Applications of Deep Learning in Manufacturing
Deep learning, a subset of artificial intelligence and machine learning, uses predictive analytics to extract insights, improve productivity, reduce defects and maintenance costs, and accounts for approximately 40% of the annual value generated by all analytics approaches.
How to Implement Proxy Scraping Services
Websites track the IP address of every incoming request, and a high volume of traffic from a single IP is the signal of an automated bot. The solution is a proxy. A proxy server is an intermediary that stands between your scraper and the target website, forwarding your requests while masking your real IP address.
Future of Deep Learning according to top AI Experts
Deep learning is currently the most effective AI technology for numerous applications. However, there are still differing opinions on how capable deep learning can become.