It was not so long ago that the public became aware of the existence of neural networks, but artificial intelligence has swiftly penetrated a variety of spheres in our life, from medicine to entertainment. Services for generating texts, images, videos, and musical compositions, as well as creating computer programs and websites, are emerging almost daily. We have explored the new possibilities of neural networks and selected for you models that have been created over the past year.
Neural Network Trends
If the first neural networks consisted of a small number of neurons and could only perform simple mathematical calculations, they are now capable of processing huge volumes of data, recognizing objects, understanding, and generating texts. The newest neural networks create music, generate paintings and videos with maximum realism.
The latest trends in neural networks consist of the following directions:
- meta-learning and unsupervised learning;
- natural language processing (NLP) and image processing;
- reinforcement learning and autonomous systems;
- transferring neural networks to devices for data processing;
- generative models and creative content;
- autoencoders and generative adversarial networks (GANs);
- multimodal networks;
- speech technologies.
These are the main trends that shape the development of neural networks for the near future. Over time, new trends are also expected to emerge.
Do New Neural Networks Exist
Neural networks continue to evolve actively, and new architectures are regularly created. The scientific community is working on improving existing and creating new, more efficient, and functional neural network models. For example, a new improved version of ChatGPT that can now recognize and describe images and better understand context was recently released. OpenAI has also developed a new product, MuseNet – a generative model capable of creating music in various styles and genres.
Developers are particularly focused on improving image processing, text analysis, reinforcement learning, and video creation. New algorithms and training techniques allow neural networks to become more flexible, faster, and more adaptive to a variety of use scenarios.
New Free Neural Networks
Most powerful models, developed and maintained by large research companies, are only available through a paid subscription due to the intense resource usage in their training and operation. However, there are services that provide free access to text, video, image, and music generation.
New free neural networks:
- OpenAI GPT-3.5;
- DALL-E;
- ruDALL-E;
- Vocal Remover;
- QQ;
- Amper Music;
- Stable Diffusion;
- MyHeritage.
Please note that free access on some sites may be for a limited trial period or with usage restrictions. Read the terms carefully before you start using the service.
New YaGPT Neural Network
The new YaGPT neural network, developed by Yandex, deserves special mention. The model is integrated into the well-known voice assistant Alice and can generate text responses to a variety of user queries. You just need to open the assistant in a mobile app or browser and start a dialogue with the phrase: “Let’s come up with something.”
Then, make your request and get a detailed answer, from the weather forecast to recommendations on what to give your girlfriend for your anniversary. YandexGPT can compose a congratulatory poem, write and tell a tale where the child is the main character, suggest a recipe, write a composition or an essay.
New Neural Network for Video
With neural networks, you can invent scripts, create animated characters, come up with special effects, generate video clips from textual descriptions, improve the quality of old video materials, and reconstruct archival recordings.
Top-10 new neural networks for video:
- Runway Gen-2
- Runwayml
- Synthesia
- DeOldify
- InVideo
- Designs.ai
- CogVideo
- Lumen5
- Flexclip
- Rephrase
New Capabilities
Artificial intelligence is constantly improving, and neural networks can now do more than just generate content. They have learned to finely recognize context, more accurately respond to queries, create realistic images and videos, compose music to existing texts according to the style specified by the user.
The new capabilities of neural networks have found application in medicine, various fields of science, and areas of industry. They decipher X-rays, MRIs, and CT scans, which helps in early disease diagnosis, conduct collection and analysis of medical data, and compile reports.
New Neural Network in Russian
The latest among the developments of new neural networks in Russian is YandexGPT. The service is based on ChatGPT and is designed to generate textual content. For creating images, Yandex developed another service named Shevdebrum, which is available on mobile devices.
Another new neural network for photos and images, Kandinsky 2.1, was developed by Sber and operates for free. Simply specify a description to create an image, choose the size and style, and in one minute the service will generate a rather realistic picture.
The Best New Neural Networks
In conclusion, we present a ranking of the best new neural networks of this year:
- GPT-4
- YandexGPT
- ruDALL-E
- Runway Gen-2
- Shevdebrum
From generating texts and images to creating music and videos, neural networks continue to amaze with their capabilities. Each improved model performs better with more complex tasks, whether in medicine, technology, creativity, or other areas, testament to the continuous growth of artificial intelligence. Progress in the field of deep learning contributes to the expansion of the boundaries of possibilities that are becoming available through neural networks.
