It is highly likely that integrated AI technology will become widespread and make significant progress in the coming years. Research organizations such as CSER predict that the current trajectory of AI will lead to some sort of artificial superintelligence within a century.
The ideal combination of faster computer processing speed, large datasets for data collection, and a large pool of AI talent has enabled the rapid development of AI tools and technologies, including in healthcare [5]. Applications such as machine learning, which uses the system to identify patterns in large datasets, have demonstrated that AI can be practical and profitable. In research, AI is being used in a growing number of applications, such as processing the vast amounts of data that underlie fields such as astronomy and genomics, creating climate models and weather forecasts, and detecting signs of disease in medical images.
Using a wealth of ESA and NASA data from across the solar system, the AIDA (AIDA) project funded by the European Horizon 2020 framework is developing an intelligent system that will read and process data from space in order to make new discoveries, detect anomalies and identifying structures. The five-year-old will use artificial intelligence tools to tackle some of the biggest health problems, including the global health crisis, and the treatment and diagnosis of disease. The program includes advances in new “AI 2.0” technologies, including big data analytics, cross-media intelligence, swarm intelligence, hybrid augmented intelligence (such as human-machine symbiosis or brain-machine collaboration), swarm intelligence, and autonomous intelligent systems.
To demonstrate, IFML researchers will apply the new tools and methods they have developed to a variety of use cases where machine learning can advance, including video compression and recognition, image processing tools for applications robots. Institute members plan to develop course content for high school students who do not currently have access to an AI curriculum, launch a new initiative to engage more college students in AI research, and create a multi-state online master’s program that will engage educators from all three member universities. Microsoft Research continues to research and develop new technologies to improve healthcare and accessibility for all. Microsoft research teams have been recognized for advancing contemporary art and developing new multilingual experiences to create more inclusive AI-enabled language technologies, as well as for pushing the boundaries of natural language processing (NLP) and artificial vision.
Medical institutions are also striving to keep up with all the new technological developments and high patient expectations for the level of service and results they know from consumer products, including from Amazon and Apple. Healthcare professionals should invest in appropriate IT infrastructure and data centre solutions to support the development of new technologies. New complexity in artificial intelligence systems and increased reliance on the use of data to develop and train these systems. Spacecraft currently need to communicate with Earth in order to do their job, but the development of autonomous spacecraft that use artificial intelligence to take care of themselves would be very useful for exploring new parts of the solar system and reducing mission costs.
