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Overview

A place to build your own image recognition AI. Login to implement modern deep learning techniques interactively with no coding at all.

News

Blog 20 days ago
From Analyzing to Creating: The Synergy Between Computer Vision and Generative AI
The artificial intelligence landscape has undergone a monumental transformation over the past decade. For years, the primary focus of AI in the visual domain was strictly analytical. We trained algorithms to act as digital eyes-to look at a picture, under
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Blog 22 days ago
Everyone Has an AI Pilot. Almost Nobody Has an AI Product
Almost every large company today has a generative AI pilot, and some have dozens of them. A noticeably smaller fraction survives to actual operation. Let's analyze where the path from demonstration to product breaks off and at what point it makes sense to
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Blog 23 days ago
Local GPUs vs Cloud GPUs for AI: When does each option make sense?
Key takeaways Local GPUs provide direct access, greater control and predictable availability for regular workloads. Cloud GPUs offer flexible access to powerful hardware without requiring a large initial purchase. Gartner forecast worldwide generative AI
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Blog 25 days ago
MacBook Pro M5, M5 Pro or M5 Max: The Ultimate Performance Comparison
Key Takeaways All three chips share the same fastest core design, so single-thread speed is close across the range - the differences are core count, GPU width and memory bandwidth. M5 offers 10 CPU cores and 153GB/s; M5 Pro offers 15 or 18 cores and 307GB
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Blog 26 days ago
Which AI Giants Are Leading on the Quantum Computing Front?
Key Takeaways Four AI giants lead the field: Google and IBM on superconducting qubits, Microsoft on topological qubits, and Amazon on error-correcting cat qubits. IBM is the scale and ecosystem leader, running the largest quantum cloud, the Qiskit softwar
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