Generative AI has great potential in healthcare, from improved diagnosis and treatment to drug discovery and personalized medicine.
AI
Researchers have developed an AI "decoder" that can decode the words that appear in a person's head by simply scanning brain activity with an instrument and passing it to a decoder for analysis
In fact, the term AI is not new to us. It is the key object of development in many fields, has penetrated into all aspects of our daily life, and the industries involved are numerous. Today, let's learn some knowledge about artificial intelligence.
The integration of deep learning with traditional industries in application has made AI an unprecedented explosion. But as Li Feifei, a professor at Stanford University, said, there is still a long way to go no matter in terms of intelligence, manpower or machine equipment.
AI models have many definitions today. They can be a parallel universe containing the digital version of human beings and the world, or a three-dimensional network that replaces today's two-dimensional network, or a graphical interface for predictive analysis and product design cooperation.
Sundar Pichai, CEO of Google parent company Alphabet, announced in a post on its official website that the company will merge two AI labs, Google Brain and DeepMind, to form a new division, Google DeepMind.
IDC predicts that spending on AI technologies will increase to $97.9 billion by 2023 - more than 2.5 times the 2019 spending level.
The security of generative AI is a growing concern. In response, NVIDIA has designed and open sourced NeMo Guardrails for a wide range of LLM (Large Language Model) based applications designed for this purpose.
Artificial intelligence, also known as machine learning, is a software system pioneered decades ago and based on neural networks.
AWS recently announced several new tools for training and deploying generative AI on the cloud platform, extending its reach further into the AI software development space.