As we all know, artificial intelligence was first proposed in 1956. After 60 or 70 years of development, it has experienced a boom and then a decline. Although there is some progress in theory, there is no major breakthrough. All research is based on the modern computer prototype made by mathematician Turing in 1936. So there is still a big gap between AI and what we know.
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As one of the world's largest cloud providers, Amazon is positioning Bedrock as a new type of Generative Artificial Intelligence (GPT) solution whose goal is to help companies rapidly build and optimize their software and applications.
AI can now code in any language without additional training.
Nvidia announced earlier this Monday that the GH200 Grace Hopper Superchip, Nvidia's most powerful artificial intelligence chip to date, is now in full production.
There is no denying that AI models like ChatGPT are becoming more and more powerful, but as their tentacles reach into all corners of human work, learning, and life, human existence and interests are being increasingly squeezed.
What is AI? Artificial intelligence is a new technological science that researches and develops theories, methods, technologies and application systems used to simulate, extend and expand human intelligence. It is a process of cognition, decision-making and feedback. Artificial intelligence technology has become the most advanced technology in the field of science and technology. Many countries are competing to open up a new direction of this technology research and strive to seize the commanding heights in this field. What is the core problem of AI technology?
The gender parity gap in the technology industry is actually well documented and the problem is prevalent at all levels of the industry, but technology also promises to be a powerful way to close the gap between genders.
According to a recent survey conducted by automation software company UiPath, the majority of employees (about 60%) believe that AI-based automation solutions can reduce burnout and significantly improve job satisfaction.
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.
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.