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The Economics and Benefits of Artificial Intelligence

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We see news about AI everywhere; sometimes, we see the excitement around AI and sometimes we see articles that talk about how AI will replace or destroy our jobs. We also see the occasional article talking about how AI will destroy humanity. In this article, I will not discuss an artificial general intelligence or an evil AI that wants to destroy humanity. I will focus on current AI, which is mostly based on the algorithms that can do predictions, and discuss how the economics of AI works and how it may affect business. I also want to mention that the content of this article is highly affected by (and this author highly recommends for further reading) Prediction Machines: The Simple Economics of Artificial Intelligence and Human Machine: Reimagining Work in the Age of AI.


Why AI is 'artificial' intelligence without machine learning

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And if you talk to experts in the science of machine learning, you might even learn that they don't really recognize artificial intelligence as a technology but more as a marketing buzzword used to sell machine learning. So, for the sake of simplicity, understand that machine learning is one of the most effective and mature approaches to realizing algorithms that make programs and machines seem "intelligent." Well, we're going to go a lot deeper than that to help you understand how machine learning is the key force shaping the world of artificial intelligence. Machine learning is mostly based on using lots and lots of training data and good algorithms. Though there's a lot of excitement in technology circles about sophisticated algorithms, particularly deep learning, it must be understood that most applications of machine learning are a result of good data.


Automotive Artificial Intelligence Market to Reach $26.5 Billion by 2025 - Novus Light Today

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The automotive industry is among the sectors at the forefront of using artificial intelligence (AI) to mimic, augment and support the actions of humans, while simultaneously leveraging the advanced reaction times and pinpoint precision of machine-based systems. Indeed, today's semi-autonomous vehicles and the fully autonomous vehicles of the future will rely heavily on AI systems. However, according to a new report from Tractica, while autonomous driving will be a leading impetus for AI spending in the automotive industry, the use cases for AI in vehicles are in fact much broader. Key applications encompass automotive human machine interaction (HMI) functionality like voice/speech recognition, driver face analytics, emotion recognition and gesture recognition; maintenance and safety applications like predictive maintenance, automated on-road customer service and vehicle network and data security; and personalized services in cars, among many others. All told, across 15 such AI use cases, Tractica forecasts that revenue from automotive AI software, hardware and services will increase from $2.0 billion in 2018 to $26.5 billion by 2025, representing a compound annual growth rate (CAGR) of 46.9%.


Amazon's facial recognition AI confuses politicians with criminals

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One of them pointed a shotgun at her face, another handcuffed her and directed her to kneel. Despite having a history of knee problems, Green complied with every order given. Twenty minutes later she was released, free to go about her life. The police initially suspected Green of driving a stolen vehicle when a machine learning algorithm designed to scan license plates misidentified hers, and incorrectly flagged her car as stolen. Needless to say, AI isn't perfect.


How Artificial Intelligence Is Projected To Influence The Automotive Industry

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So, if AI have existed since 1950 why it is matter to Automotive industry now? there are two answers for this question. A more detailed answer which reflect all these technologies together. The huge advance in machine learning algorithms due to the deep learning; moreover, With AI as an raising common technology platform, the automotive industry is set to test various changes in the following years. As several issues considered during the manufacturing process in terms of AI: vehicles become more integrated, and complex systems. New functions are added according to standards.


US Army tests AI that predicts vehicle repairs

Engadget

Keeping vehicles in good working order is about more than just getting to work on time for the US Army. A breakdown in the middle of a combat zone could prove deadly. So, to help keep on top of repairs, the army is testing artificial intelligence to predict when a vehicle might need a new part. The army is monitoring several dozen Bradley M2A3 vehicles using a machine learning algorithm from Uptake Technologies. It hopes the Asset Performance Management application will reduce unscheduled maintenance and make repairs more efficient and productive, in part by predicting when components will fail.


NVIDIAVoice: AI Is Enabling Our Need For Speed And Safety In Racecar Driving

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The racing industry is on the fast track to driverless racecars, thanks to AI. At the center of this evolution is Roborace, the world's first autonomous racing competition. Conceived by renowned car designer Daniel Simon -- a former Bugatti designer who's gone on to create various cars for Hollywood -- the "Robocar" is designed, developed, and built by the Roborace organization. Teams compete by writing the software and developing deep neural networks that consume the sensor data to see, think, and act. The cars -- which are 4.8-meters-long -- can reach speeds of over 300 kilometers per hour.


Three Impacts Of Artificial Intelligence On Society

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Over the next five years, we are about to witness the world we live in entirely disrupted by improvements in artificial intelligence (AI) and machine learning. Children today are growing up with AI assistants in their homes (Google Assistant, Siri and Alexa) -- to the point that you might consider their mere presence an extension of co-parenting. As voice and facial recognition continue to evolve, machine learning algorithms are getting smarter. More and more industries are being influenced by AI, and our society as we know it is transforming. The transportation industry looks like it will be the first to be completely disrupted by artificial intelligence.


Three Impacts Of Artificial Intelligence On Society

Forbes Technology

Over the next five years, we are about to witness the world we live in entirely disrupted by improvements in artificial intelligence (AI) and machine learning. Children today are growing up with AI assistants in their homes (Google Assistant, Siri and Alexa) -- to the point that you might consider their mere presence an extension of co-parenting. As voice and facial recognition continue to evolve, machine learning algorithms are getting smarter. More and more industries are being influenced by AI, and our society as we know it is transforming. The transportation industry looks like it will be the first to be completely disrupted by artificial intelligence.


Security: Using AI for Evil

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Artificial intelligence (AI) is positively impacting our world in previously unimaginable ways across many different industries. The use of AI is particularly interesting in the cybersecurity industry because of its unique ability to scale and prevent previously unseen, aka zero-day, attacks. But remember, similar to how drug cartels built their own submarines and cellphone towers to evade law enforcement, and the Joker arose to fight Batman, so too will cyber-criminals build their own AI systems to carry out malicious counter-attacks. An August 2017 survey commissioned by Cylance discovered that 62% of cybersecurity experts believe weaponized AI attacks will start occurring in 2018. AI has been heavily discussed in the industry over the past few years, but most people do not realize that AI is not just one thing, but that it is made up of many different subfields.