Artificial Intelligence (AI)

Computers with AI have been predominantly designed for automation activities that include memory emulation, speech recognition, learning, planning, and problem solving. AI technologies can provide for more efficient decision making by prioritizing and acting on data, especially across larger networks with many users and variables. In the very near future, AI is going to change how we do business, how we plan, and how we design. You can see it now. AI already is a catalyst for driving fundamental changes in many industries such as customer service, marketing, banking, healthcare, business accounting, public safety, retail, education, and public transport.

Artificial Intelligence

Recently, a chat box called OpenGPT has brought attention to the potential of AI and its human-like correlations, especially when expressing itself in written analysis. DALL-E, another OpenAI application, has shown the ability to that could create images from basic instructions. Both AI tools do so by mimicking human speech patterns and language and synthesizing data. A good overview of OpenGPT can be found in the recent FORBES article by Arianna Johnson: Here’s What To Know About OpenAI’s ChatGPT—What It’s Disrupting And How To Use It (forbes.com)

Last year, Google’s DeepMind AI division built machines that can predict millions of protein structures, a great benefit to science and health research. In a new breakthrough, DeepMind researchers have created an AI that can now write code as well as humans. The notion of AI writing its own code, creating its own languages is both intriguing and potentially alarming. AI is not quite sentient but may be on track to be. DeepMind Builds AI That Codes as Well as the Average Human Programmer – ExtremeTech

Another very exciting area of potential breakthrough for AI is around Human/computer interface that will extend human brain capacity and memory. Science is already making great advances in brain/computer interface. This may include neuromorphic chips and brain mapping. Brain-computer interfaces are formed via emerging assistive devices that have implantable sensors that record electrical signals in the brain and use those signals to drive external devices.