Artificial Intelligence (AI) may look like something out of the pages of a sci-fi book, yet you’d be surprised how often you use it daily. As the technology continues to improve, AI will become even more common with more widespread utilization among diverse industries.
What is Artificial Intelligence
Artificial intelligence is the concept of machines accomplishing tasks which have historically required human intelligence. AI can be broken down into two distinct fields:
- Applied AI: Machines designed to complete very specifics tasks like navigating a vehicle, trading stocks, or playing chess.
- General AI: Machines designed to complete any task which would normally require human intervention. The broad nature of General AI requires machines to “learn” as they encounter new tasks or situations. This need for a learned approach is what gave rise to modern Machine Learning.
With the introduction of artificial intelligence in today’s technology, is there such thing as the most powerful AI? Let us find out. Meet Aurora.
Aurora: The New Argonne Supercomputer
Aurora, the United States’ first exascale computer, will combine unprecedented processing power with the growing potential of artificial intelligence to help solve the world’s most important and complex scientific challenges.
The most powerful computer ever built in the United States will make its home at Argonne National Laboratory in 2021, the U.S. Department of Energy and Intel announced today.
An Exascale Computer
As an exascale computer, Aurora will be capable of a quintillion (or one billion billion) calculations per second, 50 times quicker than today’s most powerful supercomputers. But the impact of the system goes beyond faster and larger data processing to new frontiers of scientific inquiry, supercharging modern artificial intelligence approaches for finding new cancer treatments, searching for dark matter, mapping the human brain and other massive breakthroughs.
Benefits of Aurora
Exploring larger spaces, from atoms to universes. Supercomputers are especially well suited for helping scientists explore and simulate enormous, data-rich environments—from atomic level processes to the history of the entire universe. Salman Habib, the director of Argonne’s Computational Science Division and Senior Member of the Kavli Institute for Cosmological Physics at the University of Chicago, has conducted some of the largest simulations of the universe ever performed on a supercomputer. With Aurora, he will be able to create even more detailed simulations that guide experimentalists towards the best places to find dark matter, dark energy and other mysteries of the universe.
Aurora will also stimulate efforts to design the technologies of tomorrow. Therefore pinpointing materials with the properties needed to build stronger batteries, and solar panels. That more efficiently convert light to energy, and quantum computers. Researchers will also be able to run more detailed molecular models than ever. Hence, to understand the structure and function of cellular proteins. Therefore revealing new therapeutic targets and driving the development of precise drugs.
In The Field of Medicine
Mapping the brain, personalizing cancer treatment. Through Early Science Projects designed to probe the future capabilities of Aurora, UChicago researchers in materials science, cosmology and neuro-biology have already begun interrogating the new discoveries that this one-of-a-kind machine makes possible.
The artificial intelligence capabilities of Aurora will boost a project addressing another great biomedical challenge. Hence, the development of more effective, personalized treatments for cancer. The CANcer Distributed Learning Environment (CANDLE), a DOE and National Cancer Institute collaboration, will study the relationship between key molecular pathways, clinical and preclinical drugs. And patient responses to create predictive models that enable patient-level decisions about the best therapy for each individual cancer.
The exascale power of Aurora will help researchers rapidly test complex models involving millions of variables. While its optimization for artificial intelligence allows machine learning to automatically select. And refine the best-performing strategies.
To Wrap Up
Other people might think of artificial intelligence as a threat, especially to those whose jobs are threatened by it. For instance software testers and developers, and other IT professionals. Also those industries where robotics and artificial intelligence are slowly replacing human workforce.
However, these fears may all be baseless. Basically, the role of artificial intelligence is to make our lives, easier, and better. It just all depends on how we take it, and especially on how we put it into use.