Here are some of the top technology inventions or innovations for artificial intelligence and machine learning in 2022:
• GPT-3 progress – Models like GPT-3 from OpenAI continued to improve in capabilities, now able to produce human-like text, code and even art with only a few examples or prompts.
• CLIP progress – Contrastive Language-Image Pre-Training (CLIP) models improved significantly, able to match images and text with high accuracy, enabling new types of image search and image captioning tools.
• Molformer – Google’s Molformer model achieved state-of-the-art results for molecular generation and property prediction, showing potential for drug and material discovery.
• AlphaCode – GitHub copilot’s AlphaCode model surpassed 35 billion parameters, demonstrating industry-changing capabilities for auto-completing code.
• DALL-E 2 – OpenAI released DALL-E 2, an image generator that can create high resolution images from text descriptions, achieving a major breakthrough in this field.
• Stable Diffusion – Stable Diffusion, an open source image generator comparable to DALL-E 2, was released, further democratizing access to this powerful technology.
• Gato – An AI model from Anthropic achieved human-level performance on the Arcade Learning Environment, demonstrating suprising generalization abilities from minimal training.
• Pathrust – An AI model from Google Health showed state-of-the-art performance on biomedical language tasks, indicating potential for accelerating medical research.
These represent some of the major innovations and breakthroughs in AI and machine learning in 2022, though the list is by no means exhaustive. As you can see, progress was made across a wide range of applications, from text generation to image generation to molecular and code generation. The capabilities and potential of these technologies continue to grow at an astounding pace.
