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The Future We Can Face With AI
Improved speech, voice, image and video recognition will change the way we interact with our devices. Over the next few years, we will continue to see huge improvements in the quality and fidelity of speech, voice, image and video recognition, and our ability to classify results will improve significantly. Inexpensive and ubiquitous sensors and cameras will provide ever-increasing streams of data for real-time processing. This real-time requirement, coupled with cheap and available processing power and storage, will make processing data at the point of collection and eventually learning and acting on that data much more cost-effective. We will see these systems widely used in industrial automation systems, factory operations, security systems, agriculture, traffic and transportation, and many other fields.
Personal assistants will become more acceptable to us as they become more adaptable to our needs and better able to understand the context of our requests, allowing them to convey an ever-widening range of capabilities. Will conversational AI assistants eventually completely supplant more traditional GUI interfaces for our daily activities.
In addition to current command-and-control style personal assistant systems, improvements in conversational systems will be the catalyst that finally brings robots into mainstream use as household aids. Every time you fly, much of the journey is driven by the machine, not the pilot. Self-driving cars and autonomous drones seem inevitable.
Businesses are using and will continue to quietly embrace AI, enabling them to gain knowledge from all the data that is being generated – not just structured data.
Artificial intelligence will continue to move towards taking over decision-making tasks. Automated fleet management, inventory management and candidate CV verification are just a few examples.
Each step forward in core AI research opens up our ability to solve new classes and scales of problems, which in turn enables the acceleration of research in almost every scientific field for the betterment of humanity.
They can then learn on their own, whether supervised or even unsupervised, leading to successful deployment in a variety of specialized application areas. Artificial intelligence will move beyond its role as a content administrator and analyzer and become much more important in content creation and enhancement. Such systems could be used in education: imagine a teacher learning together with a student.
Fast forward and we’ll start to see hyper-personalized hypothesis-generating systems that will work on our background data, like our genomics, combined with measurements from our wearables and other biological monitors to provide each of us and our doctors with a highly accurate lens – and the crystal ball – offers valuable insight into the environmental and behavioral influences on our health.
Artificial intelligence will also be used to interpret human brain activity in a way that can decipher intent, enabling augmentation to overcome physical challenges and new methods of communication for and with disabled patients.
As AI moves to control multiple devices and content sources, collaboration between these semi-autonomous AI agents will bring huge benefits.
Artificial intelligence will also impact designers and programmers, automating many of the processes involved, mapping their desires, explicitly communicated or even implicit, to achieve creations that meet those requirements. In parallel, this will result in increased satisfaction for the people interacting with these AI-automated designs/programs, resulting in surprise and delight through the constant modification of the design or program as the system takes into account learning from interactions with other users.
AI has the potential to greatly improve things like healthcare, education, poverty and security. AI machines can already do some very useful things today that humans simply will never be able to do. If we use this to improve what we humans do well, AI could have a positive impact on society, business and culture the size of the internet itself. This will allow AI to be used to adapt the human mind, not to replace it.
Many answers lie in the vast amount of health data already collected. Ayasdi uses artificial intelligence algorithms such as deep learning to enable doctors and hospitals to better analyze their data. Through their work, doctors have been able to identify previously unknown subtypes of diabetes, which could lead to a better understanding of therapies that might work better for certain types of patients. Enlitic and IBM are using similar AI algorithms, but to more accurately and efficiently detect tumors in radiological examinations and even potentially speed up the search for a cure for cancer.
AI-based solutions already on the market can be more proactive and can prevent attacks in the pre-execution state by identifying patterns and anomalies associated with malicious content. Secureworks uses predictive AI capabilities for advanced threat detection on a global scale. SiftScience, Cylance and Deep Instinct use it to prevent fraud and secure endpoints such as smartphones and laptops. These technologies will dramatically expand the reach and scope of security professionals, enabling them to detect threats, hopefully long before they actually attack.
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