If NLP is the crown jewel of AI, text annotation is the polishing wheel. Everything about text annotation: Definition, Types, Tools, Methods

Building AI faces numerous data preparation struggles that impact performance. Let's examine 10 common training data pitfalls and solutions.

The increasing demand and difficulties of data annotation catalyze smart data annotation technologies enabled by human-model coupling.

Delve into the world of CNNs: Understand them from their core mechanisms and structures to their applications and future.

Applying large models in autonomous driving: its history, current status, and trends. Occupation Network. Transformer. Self-driving Cars.

Is LiDAR SLAM always better than Visual SLAM? Get five basics of SLAM: its definition, categories, framework, applications, and trends.

As 2023 closes, what seismic shifts can we expect in AI for the year ahead? Top 10 AI trends predicted by key opinion leaders for 2024.

Medical imaging analysis with ML: Explore classifications, challenges, cutting-edge research, and key datasets for robust smart diagnostics.

Audio annotation is key to training voice AI like GPT and Alexa. The post explores audio annotation's importance, use cases, guide and tips.

Large Language Models and Generative AI, less dependent on human supervision, are ascendant. Do humans still hold a role?