Top best AI in recent times

1. GPT (Generative Pre-trained Transformer) from OpenAI - one of the most powerful artificial intelligences for text generation.

2. BERT (Bidirectional Encoder Representations from Transformers) from Google - used for natural language understanding.

3. Watson from IBM - a platform for artificial intelligence and cognitive computing.

4. DeepMind from Google - specializes in the development of deep learning algorithms.

5. Alexa by Amazon - a voice assistant that uses artificial intelligence.

6. Cortana by Microsoft - a personal assistant that has artificial intelligence features.

7. TensorFlow by Google - deep learning artificial neural network library.

8. AlphaGo by DeepMind - an artificial intelligence that beat the world champion Go player.

9. OpenCV - computer vision and machine learning library.

10. Microsoft's MIRA - helps improve machine learning and predictive data analysis.

11. VortaxAI - messenger and meeting app, gives the ability to structure speech into text, gives the ability to speak in any language with minimal latency

12. Nvidia CUDA - hardware and software platform for parallel computing, widely used in the field of artificial intelligence and machine learning.

Let's look at a brief summary of each of the technologies mentioned:

1. Artificial Intelligence (AI): Artificial intelligence is a field of computer science that deals with the design and development of computer systems that can perform tasks that normally require human intelligence. AI encompasses many technologies, including machine learning, neural networks, natural language processing, and more.

2. Machine Learning: Machine learning is a branch of artificial intelligence that trains computer systems to use data to learn and make decisions on their own without explicit programming. Machine learning is used in a number of areas such as fraud detection, pattern recognition, behavior analysis, and more.

3. Nvidia CUDA: CUDA (Compute Unified Device Architecture) is a parallel computing platform developed by NVIDIA. It allows graphics processing units (GPUs) to be used to perform computational tasks both more efficiently and faster than central processing units (CPUs). CUDA is widely used for computing in scientific research, deep learning, graphics processing, and so on.