Generative AI has great potential in healthcare, from improved diagnosis and treatment to drug discovery and personalized medicine.

Over the past few decades, an epidemic that has spread across the globe has been quietly brewing. Specifically, mental health problems around the world have begun to grow exponentially, and their catastrophic consequences have begun to cause great concern.

The key to staying ahead of the curve in the ever-changing business environment for individuals and organizations is to manage time well to ensure that they are always on top of cutting-edge core technologies and integrate them into their work and business development.

Cloudera, the hybrid data company, announced the expansion of its Open Lake Warehouse All-in-One product, enabling customers to provide the foundation for analytics and artificial intelligence (AI) capabilities for all cloud and local data in the enterprise.

The situation quickly changed with the rapid advancement of AI technology, and a few months later, AI has become a key point in the strike negotiations conducted by the American Writers Union.

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.

While the threat theory that AI will take over human jobs rages on, there's one long-obscured job that only humans are currently capable of doing - commercial content reviewer.

Stability AI is the company behind Stable Diffusion, a text-to-image model that is one of the more popular generative AI tools besides OpenAI.

NASA engineers are developing an artificial intelligence interface called ChatGPT, which is designed to allow astronauts to interact conversationally with AI in spacecraft, or for ground control centers to communicate with remote probe intelligent robots.

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.