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Internet of Things (IoT) and Artificial Intelligence (AI) together have transformed many industries using a combination of big data, analytics, connectivity and machine learning techniques. Increased processing power from GPUs has left a mark on manufacturing, government, and healthcare sectors most of all. Nvidia Corporation, an American technology company has announced a partnership with Komatsu Ltd ., a Japanese firm and one of the leading makers of construction and mining equipment on 14th December 2023. Nearly 3000 deaths and 15000 injuries were reported at construction sites just in this year, according to Japan Construction Occupational Safety and Health Association . To increase safety standards, Nvidia’s GPUs will now be embedded in heavy machinery which will also simultaneously increase productivity. Just as in the case of Komatsu, IoT and AI together are being leveraged across many industries. The most prominent one being the automobile industry. Massive volumes of data is being combined with machine learning technology for a car to become more aware of its surroundings and identify unsafe situations and react accordingly. Deep learning algorithms form the basis for AI. It involves automatic feature detection from data. There are a range of data types to which AI techniques can be applied like transactional data, sequences, text (Natural Language Processing), images and sound, and behavior. AI is about being able to make autonomous decisions by detecting and learning from various types of datasets. Combining this with the IoT can be quite different from traditional data science. With the number of verticals in IoT, the required models also change. Traditional data science makes use of a variety of algorithms whereas AI and IoT together mostly make use of the time series models like ARIIMA and Holt Winters. In the manufacturing sector, these models can be used for predictive maintenance, abnormality detections, forecasting, etc. As an input, it is recommended to use IoT alongside traditional models used in the telecom industry like upsell, cross sell and churn modeling. It is very evident that with the increase in innovation, new products and rise in enterprise deployments, AI is being explored by more and more sectors for deriving value in the form of insights. In the first half of 2023, venture capitalists raised about US$705 million to fund AI focused IoT startups. In fact, even prominent vendors of IoT like Amazon, IBM, and Microsoft are integrating AI capabilities in their operations. The ability of AI to give quick insights is what is making it popular. AI’s machine learning technology being able to automatically identify patterns and detect abnormalities has already been discussed in the context of self-driving cars. Also, other AI technologies like speech recognition and computer visions help derive insights from data that used to be previously reviewed by humans. Business models that work on AI and IoT like ‘mass personalization at scale’ or ‘as a service’ require massive datasets and sophisticated computing techniques. And, since IoT connections are in the cloud, AI will also depend on cloud-based services. With growing demand for IoT and AI-based services, investments in SaaS and other big data technologies is only going to increase from here. According to Gartner , at present, there are only 10 percent enterprise IoT projects that include an AI component. It predicts that by 2023, this figure will rise to 80 percentage. Almost every industry vertical’s operations have been redefined by the combination of IoT and AI. IDC predicts that by 2023, IoT deployed data without AI supporting its efforts will have a limited value. Enabling better offerings, productivity, and operations, AI will only boost the value created by IoT deployments thereby providing a competitive edge to companies.

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The Power Of Artificial Intelligence In Drones

This article was published as a part of the Data Science Blogathon.

Introduction

Nowadays, people around the world think about drones — and not just how fun they are to fly, but how much drones have improved our modern life.

From delivering packages on demand to surveying disaster zones, drones are crucial to many businesses and civilians’ daily lives. But all this technology comes with significant overhead: as drones get more complex and sophisticated, so does the amount of work that goes into developing them and integrating their features properly.

Drones are becoming increasingly popular for a variety of uses, including photography, videography, and delivery. But what if there was a way to automate drones so that they could be used without a human operator?

That’s where artificial intelligence (AI) comes in. AI can be used to control drones so that they can fly autonomously. This means that drones can be operated without a human pilot, making them even more versatile.

There are a few different ways to automate drones using AI. One common method is using GPS coordinates to program the drone’s flight path. This can be done using software like Google Maps or even a smartphone app.

Another way to automate drones is b d them. This is useful for avoiding obstacles and potential crashes.

Finally, voice control is another option for automating drones. This involves the use of voice commands to control the drone’s movements. This can be done with a simple voice-activated controller or even through a smartphone app.

Whichever method you choose, automating your drones using AI will make them even more versatile and easy to use.

What is a drone?

Drones are unmanned aerial vehicles (UAVs) that are controlled by a remote operator or by onboard computer systems. They are increasingly being used in a variety of commercial and military applications.

How can AI be used to automate drones?

AI can be used to automate the control of drones, including their navigation and movement. This can be done using a variety of methods, including GPS tracking, computer vision, and machine learning algorithms.

How do drones fly?

Drones are unmanned aircraft that are flown using a remote control or by following pre-programmed flight paths. Some drones are equipped with cameras and can be used for photography or video. Drones can also be fitted with sensors and used for mapping or monitoring crops or wildlife. Increasingly, drones are being equipped with artificial intelligence (AI) technology, which enables them to fly autonomously.

AI-equipped drones are being used in a variety of applications, including search and rescue, agricultural mapping, and even delivery of goods. As the technology continues to develop, we will likely see an increasing number of drones flying autonomously in our skies.

Who builds and makes drones? What are they used for?

Drones are becoming increasingly popular and are now being used for a variety of purposes. Several companies build and sell drones, and they are used for everything from photography to delivery.

One of the most exciting uses for drones is automation. Using AI, drones can be programmed to autonomously fly and perform a variety of tasks. This is opening up new possibilities for how drones can be used in the future.

For example, imagine a drone that could be sent to deliver a package. The drone would use its AI to navigate to the address and then safely deliver the package. This would be a huge time saver and could even help to reduce traffic congestion.

Or what about a drone that could be used for security? AI-enabled drones could patrol an area and look for suspicious activity. If something was detected, the drone could raise the alarm and alert the authorities.

The possibilities are endless when it comes to automating drones using AI. This is an exciting development that is sure to change the way we use drones in the future.

Introducing Artificial Intelligence

The term “AI” stands for artificial intelligence. AI is the result of applying cognitive science techniques to artificially create something that performs tasks that only humans can perform, like reasoning, natural communication, and problem-solving. There are different levels of AI, from simple rule-based systems to complex learning machines.

Drones are one type of robot that is becoming increasingly popular and useful. They are already being used in a variety of settings, including law enforcement, search and rescue, and even farming. But what if we could take things a step further and automate drones using AI?

There are some challenges to overcome before AI-powered drones become a reality. First, the technology is still in its early stages and needs to be refined. Second, there are ethical concerns about giving machines the power to make

Artificial Intelligence

Artificial intelligence (AI) can be defined as a system’s ability to correctly interpret external data, learn from such data, and use those learnings to achieve specific goals and tasks through flexible adaptation. For a system to be truly considered ‘intelligent’, it needs to exhibit all three of these key features.

Drones are unmanned aerial vehicles (UAVs) that are increasingly being used for a variety of purposes, from photography and videography to package delivery and military applications. While early drones were controlled manually by operators on the ground, newer models are being equipped with AI-powered Flight Controllers that enable them to fly autonomously.

AI-powered drones are still in their early stages of development, but they have the potential to revolutionize the way we think.

The use of artificial intelligence (AI) in drones is becoming more prevalent as the technology continues to evolve. Drones are becoming increasingly autonomous, and AI is playing a big role in that trend.

AI-enabled drones can make real-time decisions on their own, without human input. This is especially useful in situations where time is of the essence, such as search and rescue missions or disaster relief efforts.

AI also allows drones to avoid obstacles and navigate through tight spaces. This is incredibly helpful when flying in crowded areas or conditions with poor visibility.

Overall, AI is making drones more efficient and effective, both in terms of their ability to gather information and their ability to carry out tasks. As drone technology continues to develop, we can expect to see even more amazing applications of AI.

Technology innovation has always entailed some form of automation. The term “Automation” was first coined in the automobile industry, and it referred to the increased use of automatic devices and controls in manufacturing processes. This revolutionized manufacturing and led to mass production. -Drones are the latest frontier of automation, and they are being used in a variety of ways, from delivering packages to taking pictures and videos. Now, there is a new application for drones: using them as flying robots that can be controlled by Artificial Intelligence (AI).

Drones have already transformed the way we live and work. They are now being used for tasks such as delivery, photography, and surveying. And with the help of AI, they are becoming even more useful. Automating drones using AI can help us achieve things that were previously not possible, or that were very difficult to do.

For example, imagine you want to take a picture of a specific building. You could manually fly a drone to the location and take the picture yourself. But it would be much easier (and cheaper) to simply tell an AI-controlled drone where to go and what to do. The drone would then fly to the location on its own and

Automating Drones using Artificial Intelligence Techniques

Developers are teaching drones to think for themselves, using AI techniques such as machine learning and computer vision. By doing so, they hope to make drones smarter and more autonomous, able to perform tasks such as obstacle avoidance and target tracking without human intervention.

One challenge in automating drones is that they have to operate in unstructured environments. This means that they need to be able to adapt to their surroundings on the fly and make decisions based on incomplete or changing information.

Machine learning is a promising approach for teaching drones how to do this. Using machine learning, developers can train drones to recognise objects and interpret their surroundings. This allows them to make decisions based on what they see, rather than having to follow predefined rules set by humans.

Computer vision is another key technology for making drones smarter. By equipping them with cameras and algorithms that can interpret what they see, drones can learn to navigate their environment and avoid obstacles. This is particularly important for flying drones indoors, where there are many potential hazards that they need to avoid.

Combining AI techniques such as machine learning and computer vision will allow developers to create drones that are much smarter and more autonomous than anything that exists today. This will open up

Collection of flight data from a drone pilot

Supervised learning algorithm

Drones are equipped with an array of sensors that can collect a large amount of data. This data can be used to train a supervised learning algorithm to fly the drone automatically.

Conclusion to Artificial Intelligence & Drones

# Drones have improved our modern life

# Drones are becoming increasingly popular for a variety of uses.

# Drones are unmanned aerial vehicles (UAVs) that are controlled by a remote operator or by onboard computer systems.

# AI can be used to automate the control of drones, including their navigation and movement.

# Drones are unmanned aircraft that are flown using a remote control or by following pre-programmed flight paths.

# One of the most exciting uses for drones is automation.

# AI is the result of applying cognitive science techniques to artificially create something that performs tasks

# AI-powered drones are still in their early stages of development, but they have the potential to revolutionize the way we think.

# Computer vision is another key technology for making drones smarter.

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The Top Funded Artificial Intelligence Startups Of 2023

The startup space leveraging

CrowdStrike a Sunnyvale, California-based cybersecurity firm was founded in 2011 by the top executives of McAfee. CrowdStrike sells endpoint security software, protecting laptops, computers, servers, other devices from hacker threats serving customers in more than 170 countries. In June 2023, CrowdStrike raised $200 million in a fresh funding by private investors taking its valuation exceed $3 billion. CrowdStrike held the national spotlight in the 2023 U.S. presidential election season when it analysed the monumental hack of the Democratic National Committee. CrowdStrike was the first company to publicly blame Russian agents for the data breach in the 2023 U.S. presidential election season.

Founded in 2007 by the father and son duo of David Hindawi and Orion Hindawi, Tanium is a privately held endpoint security and systems management company operating from Emeryville, California. The company provides organizations a single point of control and visibility to manage and secure technology systems at an unprecedented scale. Tanium’s platform helps technology powering businesses adapt to disruption in vogue. Tanium’s customers include many of the world’s largest organizations like the United States Military and top banking giants who rely on the solutions offered for business resilience. The startup raised an additional $200 million in its latest funding round led by investment firm Wellington Management in October 2023 currently valuing the startup at $6.5 billion.

UiPath, a global software company offering a platform for Robotic Process Automation was founded in 2005 by the Romanian entrepreneurs, Marius Tirca and Daniel Dines. The startup started its operations from Bucharest, Romania and has an extended presence in London, Bengaluru, New York, Tokyo and Singapore. UiPath, raised $153 million in Series B funding and eclipses $1.1 billion valuation at present. The startup validates RPA as a strategic imperative for the path to AI and digital transformation. The funding was led by the previous investor Accel, with new investors Kleiner Perkins Caufield & Byers and CapitalG contributing to the company. Additionally, UiPath seed investors Credo Ventures, Seedcamp and Earlybird’s Digital East Fund, also participated in the funding round.

Founded in 2012, Cylance Inc. is an American software startup founded by former McAfee Global CTO Stuart McClure and Chief Scientist Ryan Permeh. Cylance is a game changer startup in cybersecurity developing antivirus programs and computer software that prevent viruses and malware. Based in Irvine, California, its flagship product, CylancePROTECT®, is the world’s first next-generation antivirus built on machine learning and artificial intelligence. Cylance® Inc., closed a $120 million funding round led by funds managed by Blackstone Tactical Opportunities and including other investors in June 2023.

6. AutoLab AI

Founded in early 2023, with an aim to become the future of autonomous manufacturing, AutoLab AI founded by former Autodesk Inc. employees covers categories like robots and software as a service. In May 2023, the Palo Alto-based startup AutoLab AI raised $113.4 million of a planned $200 million in funding.

C3 IoT is the world’s leading AI and IoT software provider for digital transformation delivering a platform as a service (PaaS) for the rapid design, deployment and development, of large-scale predictive analytics, big data, IoT applications and AI for any value chain. Additionally, the startup provides a family of configurable and extensible SaaS products developed with and operating on its PaaS, including fraud detection, predictive maintenance, sensor network health, energy management, supply chain optimization and customer engagement. In January 2023, C3 IoT raised a $100 million round of funding from its existing investors including TPG Growth, Sutter Hill, Breyer Capital, and its founder and CEO Tom Siebel which brings the total funding raised to nearly $243 million.

Nuro is an American robotics self-driving delivery startup based in Mountain View, California, founded in 2023 by a pair of Google veterans Jiajun Zhu and Dave Ferguson. Nuro in partnership with Kroger, powers autonomous vehicles on the road to deliver groceries in Scottsdale, Arizona priced at a flat delivery fee of $5.95. In January, Nuro raised $92 million in Series A funding rounds led by Chinese venture firm Banyan Capital and Silicon Valley’s Greylock Partners

What Is The Scope Of Artificial Intelligence In Our Daily Lives?

What is Artificial Intelligence?

Roughly we could say that AI is the technology whose main objective is to try to imitate human reasoning and thought. These are systems created to store information, solve calculations and manage to process data to anticipate certain tasks. Artificial Intelligence allows machines to reason, plan, create and learn like human beings (or as close as possible). Through an algorithm, the AI can perceive the environment and relate to it. The machine receives information (provided by man), then it processes it and can respond to it. In this way, the AI manages to adapt its behavior, analyzing the effects of previous situations, and therefore manages itself autonomously. One of its greatest virtues is its speed of response, which makes it an extremely profitable tool for most businesses since it can learn from habits due to its intuitive nature, and it also allows for speeding up mechanical processes.

What is the AI for? In which fields can it be applied?

As we have mentioned before, today this type of technology is more used than you think. Surely you will be surprised to find out the scope it has today. Although this type of technology is applied to a wide variety of fields, we could classify it into two large subgroups or areas: information processing and robotics. When it comes to information processing (which actually involves the storage, processing, and analysis of information), there are many machines that have been developed to accomplish almost any task in the most cost-effective and efficient manner. Thus, most platforms are capable of performing the following functions: Manage and control information; Analyze, plan and query data; Diagnose, configure and distribute components and hardware in computer systems; Interpret data; Make conclusions; Anticipate tasks and situations; Monitor tasks. In relation to robotics, it refers to a more dynamic facet, since we are talking about robots that are used to perform various tasks. Nowadays, this type of technology is more than anything used for assembly lines or in tasks related to the manufacture of objects; mostly covering monotonous and repetitive tasks.

Some examples of AI applied to everyday life

AI applied in customer service Today, most of the live chats that offer customer service in different areas work through AI. Chatbots are those that assist people by answering basic help or technical support questions. For example, most legal online casinos and US operators are managed by a chatbot that offers fast and practical solutions 24 hours a day. This type of technology can help customers by handling simple requests such as opening an account, closing an account, and the like. AI applied to voice assistants/home automation We are not only referring to cell phones and other electronic devices, but also to smart homes that use Google Home or Amazon Echo technology. Through these assistants, which use NLP (natural language processing) technology, which allows them to interpret voice commands and respond to them, families have the possibility of carrying out most household tasks through a simple command by voice. AI applied to maps and navigation directions AI is fundamental to the existence of the navigation systems we use today, such as Google Maps.

Today we have all heard, at least once in our lives, about artificial intelligence. And although it seems like a term taken from a science fiction movie, the reality is that Artificial Intelligence is already part of our daily lives, you just are not aware of it. Artificial Intelligence (AI) has become an extremely powerful digital tool, which has been adopted by many organizations in almost all sectors, markets, and industries because this type of technology allows them to optimize work and profitability. You can see how AI is applied for a wide variety of purposes today, from medicine to the legal online casinos US industry. It is really surprising how this technology operates around us in most areas. Let’s see a little more in-depth what Artificial Intelligence is all about.Roughly we could say that AI is the technology whose main objective is to try to imitate human reasoning and thought. These are systems created to store information, solve calculations and manage to process data to anticipate certain tasks. Artificial Intelligence allows machines to reason, plan, create and learn like human beings (or as close as possible). Through an algorithm, the AI can perceive the environment and relate to it. The machine receives information (provided by man), then it processes it and can respond to it. In this way, the AI manages to adapt its behavior, analyzing the effects of previous situations, and therefore manages itself autonomously. One of its greatest virtues is its speed of response, which makes it an extremely profitable tool for most businesses since it can learn from habits due to its intuitive nature, and it also allows for speeding up mechanical chúng tôi we have mentioned before, today this type of technology is more used than you think. Surely you will be surprised to find out the scope it has today. Although this type of technology is applied to a wide variety of fields, we could classify it into two large subgroups or areas: information processing and robotics. When it comes to information processing (which actually involves the storage, processing, and analysis of information), there are many machines that have been developed to accomplish almost any task in the most cost-effective and efficient manner. Thus, most platforms are capable of performing the following functions: Manage and control information; Analyze, plan and query data; Diagnose, configure and distribute components and hardware in computer systems; Interpret data; Make conclusions; Anticipate tasks and situations; Monitor tasks. In relation to robotics, it refers to a more dynamic facet, since we are talking about robots that are used to perform various tasks. Nowadays, this type of technology is more than anything used for assembly lines or in tasks related to the manufacture of objects; mostly covering monotonous and repetitive tasks.Today, most of the live chats that offer customer service in different areas work through AI. Chatbots are those that assist people by answering basic help or technical support questions. For example, most legal online casinos and US operators are managed by a chatbot that offers fast and practical solutions 24 hours a day. This type of technology can help customers by handling simple requests such as opening an account, closing an account, and the chúng tôi are not only referring to cell phones and other electronic devices, but also to smart homes that use Google Home or Amazon Echo technology. Through these assistants, which use NLP (natural language processing) technology, which allows them to interpret voice commands and respond to them, families have the possibility of carrying out most household tasks through a simple command by chúng tôi is fundamental to the existence of the navigation systems we use today, such as Google Maps. Artificial Intelligence applied to these programs is what makes it possible to provide information on the state of traffic in real-time and up to date. It also allows recommending to the user the best route to access the desired site, considering all the necessary factors.

What Is Artificial Emotional Intelligence?

The field of artificial emotional intelligence or Emotion AI is the most exciting and promising

When comprehending emotion, humans have always been able to outshine technology. Yet, that won’t last for very long. While some people may be skeptical about the idea of emotion being replaced by computers, experts in affective computing, also known as emotion AI or affective computing, claim we’re well on our way there and that by 2025, the industry for affective computing would be worth US $174 billion worldwide.

What is Artificial Emotional Intelligence?

Artificial emotional intelligence is the ability of computers to recognize and respond to emotions in others by evaluating data such as facial expressions, gestures, tone of voice, keyboard force, and more. With the help of this capability, people and machines will be able to connect in a way that is much more natural and reminiscent of human-to-human communication.

In an MIT Media Lab, cameras, microphones, and physiological sensors were used to capture affective responses to recognize emotion in 1995, and then machines were programmed to react to those emotions. Rosalind Picard, a lab professor, published “Affective Computing” due to her early work. Nowadays, a machine’s skill at analyzing data might enable it to recognize minute emotional cues that some humans might overlook.

How Does Artificial Emotional Intelligence Work?

Artificial emotional intelligence systems acquire data through a combination of computer vision, sensors, and cameras, a tonne of real-world data, speech science, and deep learning algorithms, process it, and compare it to other data points to detect important emotions like fear and joy. The computer interprets the emotion and what it might mean in each situation after finding the correct emotion. Computers become more adept at recognizing the subtleties of human communication as the emotion database expands.

How is Artificial Emotional Intelligence Used Today?

Many businesses are actively utilizing it as the field develops to offer better services and goods. Here are a few illustrations:

A team at Microsoft is working to create new technologies that support emotional resilience and well-being. These technologies will make use of artificial emotional intelligence to recognize and react to emotional states. Specifically, in the areas of empathetic search, human understanding in games, and adaptive workspaces, the HUE (human understanding and empathy) team is tasked with integrating artificial emotional intelligence into Microsoft products.

Your appreciation for Cogito’s artificial emotional intelligence solution to enhance the experience will grow if you’ve ever been transferred through a company’s customer service contact center to address a problem and saw your level of frustration increasing with each transfer. Determining the caller’s mood, helps employees manage calls more effectively at the moment.

To detect mental health issues, artificial emotional intelligence technology can be helpful. A mental health monitoring app by CompanionMx can spot indications of anxiety and mood swings when someone speaks into their phone. A wearable gadget called BioEssence was developed by the MIT Media Lab that uses variations in heart rate to detect pain, stress, and frustration before releasing a smell to help the user get through such emotions.

Even those with autism who frequently find it difficult to read the emotional clues others give off when conversing may benefit from using emotion AI as a sort of assistive technology. People with autism may find it easier to “read” the emotions of others and respond to them properly with the aid of a wearable device.

Along with so many other applications of artificial intelligence, engineers must take care to ensure that the data sets used to train the technology reflect the diversity of our global society. Hopefully, this will occur as a result of the more widespread use of these applications.

How Companies Are Using Artificial Intelligence?

Here is how AI companies are using AI

Artificial Intelligence (AI) is boosting business efficiency and productivity by automating procedures and operations that previously required human intervention. AI can also understand data on a level that no human has ever been able to. This skill has the potential to provide significant business benefits. Every function, business, and sector may benefit from AI. There are both general and industry-specific applications in this category. Let’s read more about how and why companies are using AI to increase efficiency.

Why Do Companies Use AI?

Improve User Experiences It has been observed that balancing the need for high sales and conversion rates is also a challenge for companies. By developing UX-based functionality, Artificial Intelligence may be utilised to better user experience. Better Personalization Utilizing Potential Channels Artificial intelligence has the ability to open up new marketing channels for businesses. The use of AI aids in the expansion of digital marketing channels. Businesses are increasingly likely to use AI-powered technologies to automatically identify the channels that have the best probability of success. Valuable Data Insights Big business is dealing with a big amount of important data on their customers and trade. Many businesses benefit from the usage of artificial intelligence to comprehend the full scope of data sets.

Top Companies That Use AI

Apple Apple is a global technology company that sells consumer goods like iPhones and Apple Watches, and also computer software and internet services. Apple employs machine learning and artificial intelligence in devices such as the iPhone, where the FaceID feature is enabled, and the Apple Watch, AirPods and HomePod smart speakers, where Siri is enabled. Apple is also expanding its service offerings, utilising AI to propose music on Apple Music, assist you in finding a photo in iCloud, and use Maps to route to your next appointment. Baidu Alibaba Alibaba is the biggest e-commerce platform in the world, selling more than Amazon and eBay altogether. Artificial intelligence (AI) is utilised to forecast what customers would wish to buy in Alibaba’s everyday operations. The firm uses natural language processing to produce product descriptions for the website. Alibaba’s City Brain initiative, which aims to construct smart cities, is another example of artificial intelligence in action. By tracking every car in the city, the initiative employs AI algorithms to assist alleviate traffic congestion. Alphabet Google Waymo, Google’s self-driving technology business, started as a Google initiative. Waymo’s goal now is to introduce self-driving technology to the rest of the globe in order to not only transport people around, but also to minimise the number of accidents. Its self-driving taxis are presently transporting passengers around California. Currently, the firm is unable to charge a fare, and a human driver is still in charge of the vehicle throughout the test programme. When Google bought DeepMind, it indicated its commitment to machine learning. Amazon Amazon is not just a player in the AI game with Alexa, but it is also a component of many parts of its company. Another creative method Amazon employs artificial intelligence is to deliver items to you before you ever consider purchasing them. They collect the information about each person’s shopping patterns and are so confident in how the information they collect helps them propose goods to their clients that they are now utilising predictive analytics to anticipate what they need long before they need it. Facebook IBM For years, IBM has been at the vanguard of AI technology. It has been more than 20 years since IBM’s Deep Blue computer defeated a human world chess champion for the first time. The firm went on to win additional man vs. machine challenges, including the game show Jeopardy, using its Watson computer. Project Debater is IBM’s most recent artificial intelligence achievement. This AI battled against two expert debaters and generated human-like arguments.

Conclusion

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