In 2018, the future of artificial intelligence (AI) was a topic of great interest and speculation. As AI technology continued to evolve rapidly, it was expected to become more integrated into daily life, influencing everything from healthcare to entertainment. This article highlights 13 major predictions made by industry leaders and researchers on where AI would go in 2018.
The year 2017 was widely considered the "first year of AI" by publications such as the Wall Street Journal, Forbes, and Fortune. The achievements in AI during that year were impressive, with breakthroughs in areas like gaming, healthcare, and natural language processing. AI systems not only outperformed human experts in games like poker but also expanded the reach of deep learning through various online platforms.
Microsoft, for instance, achieved significant milestones in speech recognition, while institutions like Oxford University, Massachusetts General Hospital, and GE’s Avitas system invested heavily in deep learning technologies. These developments signaled a growing confidence in AI’s potential to revolutionize multiple industries.
As we entered 2018, many experts predicted that AI would continue to advance and become more deeply embedded in everyday systems. From medical diagnostics to content creation, AI was expected to play an increasingly central role.
One of the key predictions came from Mark Michalski of Massachusetts General Hospital, who foresaw AI being integrated into medical diagnostic systems. He emphasized that AI would not be seen as a separate device but rather as a standard part of the healthcare process. Similarly, Marc Edgar from General Electric believed that deep learning would transform engineering design, accelerating product development and reducing costs.
Luciano Prevedello, a radiologist at Ohio State University, predicted that AI would become a routine part of medical diagnosis, making it so seamless that people might forget it wasn’t always there. Jan Kautz of NVIDIA envisioned AI creating personalized media, such as music tailored to individual preferences.
Nicola Morini Bianzino of Accenture noted that AI would influence 25% of the technology industry, urging organizations to embrace the changes it brings. Georges Nahon of Orange Silicon Valley predicted that biometric authentication would replace traditional forms of identification, such as credit cards and driver’s licenses.
Bradley Erickson of the Mayo Clinic highlighted the importance of transparency in AI, stating that new deep learning techniques would help demystify the “black box†nature of these systems. Robinson Piramuthu of eBay anticipated that smartphones would run more AI-powered apps, making home robots smarter and more affordable.
Chris Nicholson of Skymind.io believed that AI would become more deeply embedded in daily life, with self-driving cars and smart assistants becoming more common. George Shih of MD.ai predicted that AI development would become more diverse, involving people from different backgrounds and disciplines.
Eliu Huerta of the University of Illinois saw AI playing a key role in astrophysics, helping detect gravitational waves from unknown celestial objects. Safwan Halabi of Stanford University warned that regulatory bodies would need to keep up with the rapid pace of AI innovation, especially in medical imaging.
Finally, Alejandro Troccoli of NVIDIA imagined a future where AI personal assistants would understand users’ habits and needs, simplifying daily tasks like cooking. These predictions painted a picture of a world where AI would no longer be a futuristic concept but a vital part of everyday life.
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