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Here's What's Coming in Machine Learning in 2021 Featured

Here's What's Coming in Machine Learning in 2021 "2021, over 2020 - New Year"

Machine learning and artificial intelligence have been the leading topics of discussion in 2020. The coronavirus pandemic has made these technologies highly crucial than before, as they have shown the potential to help in many ways. Machine learning is now the driving force behind multi-billion industries such as medical diagnostics companies and autonomous vehicle companies, among others. With this immense potential, almost every industry is investing in it. Here are some trends that you should expect in 2021 going forward.

  • Military autonomous systems

The military is one of the areas that have been monitoring the developments in machine learning and artificial intelligence more than anyone else. Machine learning has already been tried and tested by the military in drones and will soon control military ships and other operations. With machine learning, little human interference will be needed to man military systems as machine learning will start doing more. Going to 2021, AI will become the leading investment in the military, and we are likely to see more developments.

  • Organizations will invest in machine learning

AI tools and platforms are making their way into businesses than ever before. As businesses look for ways to reduce the cost of operations, artificial intelligence, and machine learning have become highly critical in doing this. These tools allow organizations to find out better ways of serving customers and use data to find ways to adapt to new realities. These tools will continue gaining traction throughout 2021 as more organizations continue venturing into AI to enhance their effectiveness.

  • AI and machine learning will be used increasingly for cybersecurity

Artificial intelligence and machine learning platforms and technologies are finding their way into cybersecurity both for corporate and personal use. As cyber-attacks continue becoming more sophisticated, developers are in a race to find technologies that would keep up with these threats. AI and machine learning technologies have shown the potential to be useful in fighting sophisticated cyberattacks such as DDoS attacks, malware, and ransomware, all of which are highly destructive. The future of AI-powered cybersecurity is becoming clearer by the day. These tools have shown the potential to gather data from an organization’s transactional systems, networks, websites, and other public sources and use algorithms to analyze potential threats and patterns- such as rogue IP addresses and potential data breaches. From 2021, AI and machine learning algorithms will be used increasingly in home and organizational security systems such as video cameras and intruder alarm systems.

  • Facial recognition

Another area that has grown immensely over time is the AI-powered facial recognition technology powered by computer vision algorithms. As controversial as it is, this is an area that has shown immense potential to be deployed to identify individuals for security purposes. From now on, facial recognition technology will be deployed to help the police force in fighting crime. There will be more investment in AI-driven crime solutions, and surveillance will depend on these technologies.

  • Ethical questions and concerns

There have already been various ethical concerns surrounding the use of AI-powered technologies, that include machine learning algorithms deployed in various areas. With time, these questions will increase and will become louder as people want to know what is in store for them concerning ethics. With these ethical concerns, there will be a need for laws to govern the use of IT systems such as facial recognition platforms by the police.  These laws will address the “deepfakes” misinformation, that has emerged to be a threat to society and cyberattacks, which have increasingly taken advantage of AI to increase their levels of sophistication.

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Scott Koegler

Scott Koegler is Executive Editor for PMG360. He is a technology writer and editor with 20+ years experience delivering high value content to readers and publishers. 

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