Read how AI is getting smarter every day but is still no match for the human mind. Also in this week’s roundup, understand why data quality is key to leveraging AI and Machine Learning. Learn what the benefits and challenges are of integrating the industrial internet of things in the manufacturing industry. And lastly, discover how machine learning can reduce concern about nanoparticles in food.
AI is getting smarter every day, but it still can’t match the human mind
By Guy Perelmuter, contributing writer for Fastcompany.com
Artificial intelligence research can be subdivided in different ways: as a function of the techniques used (such as expert systems, artificial neural networks, or evolutionary computation) or of the problems addressed (e.g., computer vision, language processing, or predictive systems). Currently, one of the most commonly used artificial intelligence techniques for the development of new applications is known as machine learning. In basic terms, machine learning seeks to present algorithms with the largest possible volume of data, allowing systems to develop the capacity to autonomously draw conclusions. A simple way to describe the process is as follows: If we want to teach an image recognition system to identify a key, we show it the largest number of keys possible for its training. Then, the structure itself learns to identify whether subsequent images presented are or are not keys—even if the system never saw these images during its training.
Data Quality Key to Leveraging AI, Machine Learning
By Jeff DeVeter, contributing writer for Manufacturing.net
With mountains of data at their disposal and pressure to drive efficiencies, organizations across all sectors have been eager to jump on board the artificial intelligence (AI) and machine learning (ML) bandwagon. But AI and ML progress has not happened uniformly across all sectors. A study of 1,870 IT decision-makers we conducted in January 2021 revealed that AI and ML has boosted productivity and reduced costs in manufacturing to a greater degree than in any other industry. What our survey also made clear is that data quality is a major differentiator between AI and ML leaders and laggards, regardless of industry.
Integrating The Industrial Internet Of Things: The Benefits And Challenges
By Evgeniy Altynpara, contributing writer for Forbes.com
The Internet of Things (IoT) has become a crucial part of manufacturing and business transformation. According to a report from Statista (paywall), the total worldwide volume of IoT endpoints data will reach 79.4 zettabytes by 2025, and their number will approach 75 billion the same year.
Machine Learning Can Reduce Worry About Nanoparticles In Food
By Vandana Suresh, contributing writer for Today.tamu.edu
While crop yield has achieved a substantial boost from nanotechnology in recent years, alarms over the health risks posed by nanoparticles within fresh produce and grains have also increased. In particular, nanoparticles entering the soil through irrigation, fertilizers and other sources have raised concerns about whether plants absorb these minute particles enough to cause toxicity.
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