This year, IBM researchers are exploring the idea that everything will learn – driven by a new era of cognitive systems where machines will learn, reason and engage with us in a more natural and personalized way. These innovations are beginning to emerge enabled by cloud computing, big data analytics and learning technologies all coming together.
Over time these computers will get smarter and more customized through interactions with data, devices and people, helping us take on what may have been seen as unsolvable problems by using all the information that surrounds us and bringing the right insight or suggestion to our fingertips right when it’s most needed. A new era in computing will lead to breakthroughs that will amplify human abilities, assist us in making good choices, look out for us and help us navigate our world in powerful new ways.
To get a sense of how learning machines will affect you, consider IBM Research’s 5 in 5 predictions for this year—five innovations that will change the way we live within the next five years:
The classroom will learn you – The classroom of the future will learn about each student over the course of their education, helping students master the skills critical to meeting their goals.
Buying local will beat online – Savvy retailers will tap cognitive technologies and use the immediacy of the physical store to create experiences that cannot be replicated by online-only retail.
Doctors will routinely use your DNA to keep you well –Computers will help doctors understand how specific mutations in a patient’s DNA have lead to growth of a cancerous tumor. They’ll recommend a cocktail of medicine shown to best attack that cancer.
The city will help you live in it – Cognitive systems will learn to understand what people need, what they like, what they do, and how they move from place to place—so the managers of the city can respond better to their needs.
A digital guardian will protect you online –Security systems will acquire a 360-degree view of an individual’s data, devices and applications. They’ll readily spot patterns that could be precursors to a cyber attack or a stolen identity.