In the early days of artificial intelligence development, computer programmers would need to carefully specify all information a new A.I. program would have access to. It required a tremendous amount of forethought, and the A.I. systems that were produced were often quite error-prone.
Newer A.I. programs are learning-based, starting off with very little knowledge about the world, but very good at learning new information and recognizing patterns. After going through a few rounds of training, these new systems often perform at super-human levels, offering helpful real-world applications.
Another way we benefit from A.I. systems today is by receiving tailored recommendations suited to our tastes and past history. As we start using new online services to stream content, programs take in information about our preferences. Over time, they are able to interpret our preferences and behavior patterns using large databases with information about other users who are similar to us. As we use those services more, we give them feedback about what we like and what we don’t, and they are able to build up a profile that generates individualized recommendations that fit our desires.
Distracted driving is one of the leading causes of car accidents in the United States. Auto accidents can be a major stressor in people’s everyday lives, which is why driver safety is an ongoing concern. The automotive industry is using A.I. technology to develop self-driving cars. Through A.I. tech, driverless cars are able to see, think, and safely navigate on the roads. This will effectively remove humans from behind the wheel and allow computers to do the driving for us.
One major benefit of new AI programs is their capability to diagnose disease. By feeding these learning-based systems large datasets, programmers are able to teach the system to recognize subtle signs associated with particular diseases. In some cases, after just a few hours of training, these systems could diagnose patients more accurately than trained medical professionals. An example of using artificial intelligence in medicine is Freenome’s A.I. platform that has learned to recognize genetic patterns in cancer-positive blood samples and helps detect cancer earlier in new patients.
As doctors increasingly rely on artificial intelligence in medicine, we will get more data-points for analysis, ultimately leading to even better diagnostic programs. This will help patients receive the best possible care, and help save millions of dollars and countless hours. AI is even being used by medical experts in what’s called population health management. This allows doctors to predict, and plan for disease outbreaks, improve population health, and a whole lot more. All of this data is getting used, sorted, and managed by AI to help create a healthier, stronger population.
Does it ever amaze you how quickly packages can arrive from online retailers to your door? The secret here is that no one at the company needs to worry about finding efficient routes, because A.I. programs handle it for them. Using information about delivery schedules and customer habits, new systems are capable of determining the most efficient shipping arrangements custom-tailored for each client.
Artificial Intelligence has come a long way in the last thirty years, going from basic experiments to cutting-edge necessitates. It’s a safe bet that these programs will continue to improve over time. And with those improvements, there are bound to be many more new and exciting improvements in our lives as well.