AI/ML on the Battlefield 2026 - Either Air or Ground

February 10, 2022
AI/ML on the Battlefield 2026 - Either Air or Ground

We do not associate AI with science fiction robots and machines anymore because, in reality, this technology optimizes, changes, and improves many day-to-day processes, making our routine easier. As Artificial Intelligence (AI) seeps deeper and deeper into modern reality, we start wondering what to expect from AI/ML on the battlefield 2026? Continue reading to find it out all of the details.

Impact of Artificial Intelligence in our Everyday Life

So what is artificial intelligence, and what is the future of artificial intelligence? It’s a branch of computer science that focuses on the intelligent behavior of machines and teaches them to learn and make decisions as humans do. Another branch of AI is machine learning, where instead of being programmed, machines are able to observe, analyze and learn from the data.

“As a technologist, I see how AI and the fourth industrial revolution will impact every aspect of people’s lives.”— Fei-Fei Li, Professor of Computer Science at Stanford University.

Artificial intelligence is always here in our daily lives, and most of the time, we don't even notice its existence and the influence it makes. It helps us avoid traffic, choose movies and music based on recommendations, control digital assistants with the voice, enjoy self-driving cars and vehicles, instant translation, etc.

How AI works? Here is a list of some of the areas artificial intelligence has the biggest impact on and will evolve more as time goes by.

Social Media

Social media networks use AI to study users' behavior, their likes, and preferences and, based on this data, advertise to them more effectively. Also, AI is used to improve user experience and provide people with more personalized content. For example, Facebook uses machine learning to recognize users’ faces in photos and to provide users with personalized content. Snapchat uses AI technology to generate filters in sync with users’ faces, and LinkedIn provides job recommendations and suggests contacts to their users based on machine learning technology.

Online Stores and Services

When it comes to online shopping, AI influences such areas as digital assistant technology, web searches, and social media advertising. You’ve probably noticed an ad for a product you’ve been recently searching for. That’s all AI jobs. Chatbots are the other significant function of online shopping that influences our decision to buy. AI also personalizes the shopping experience by analyzing shopping behavior and gathering user information and third-party data. If an e-commerce store recommends you a suitable product after your initial purchase, it’s a sign that they use artificial intelligence to up-sell.

Music Recommendations

Music streaming services like Shopify are bombarded with tens of thousands of new music tracks every day. AI helps sort out all of these tracks and provides users with recommendations based on their listening history. For example, Spotify uses machine learning for its Discover Weekly service with customized playlists of new music every Monday. It gives benefits to both artists and listeners, as listeners can easily find new songs, and small artists have a chance to get more exposure.

Robots and AI Use Cases

Now that we have covered AI applications in our everyday lives, let's get back to fancy robots with futuristic vibes. Here is how AI influences the robotic industry and what areas it changes, as well as artificial intelligence future possibilities.

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Agriculture and Farming

With AI, the aging agricultural workforce is not a threat anymore. Believe it or not, but with the development of autonomous drones, self-driving agricultural machines, etc., farmers will spend less time on manual work and focus more on creating a strategy for growing sustainable harvests. One of the examples of the latest ai advances of agriculture equipment manufacturers is Deere. This tool uses artificial intelligence and machine vision to detect and fix porosity defects in welds on its tractors.

“Using a neural network-based inference engine, the solution identifies defects in real-time and automatically stops the welding robot. The automated system allows Deere to correct the issue efficiently, without slowing down the production line. Together, we are adding intelligence to existing manufacturing equipment, processes, and management.”— Christine Boles, the vice president of the IoT group and general manager of the industrial solutions division at Intel.


With AI, robots can get precise mobility in complex and unpredictable environments. Traditional robots have been programmed for mostly linear maneuvers by receiving guidance signals from the gadgets when traditional robots  cannot overcome obstacles and take alternative routes.

An AI-enabled robot, in its turn, will create a real-time update of a pre-programmed map or build a navigational map from scratch in real-time. It can carry out the following tasks:

  • Carrying goods in factories, warehouses, and hospitals
  • Cleaning offices and large equipment
  • Inventory management
  • Exploring environments that are too dangerous for humans

For example, the future ai robot Piaggio Fast Forward’s AI robot acts as an extra set of hands. Are your groceries too heavy? Maybe you just can’t carry all your workout gear? Piaggio’s Gita robot uses AI to follow its owner close behind, acting as a versatile, hands-free carrier.

Another example is UiPath’s Robotic Process Automation software. It instills AI into robots to perform repetitive tasks more efficiently and learn while they go. The unicorn’s AI robot software is helping robots speed up tasks in an environment where they no longer have to be supervised by humans (such as manufacturing).

Customer Service

Robots are already used for customer service in hotels and retail spaces. With the help of AI, such robots communicate with humans in a human way using the natural language processing capability of artificial intelligence. Interestingly, the more robots interact with people, the better their customer service capability becomes.

One of the examples of artificial intelligence progress is
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, a retail store based in San Jose, California, is experimenting with a robot to upgrade its customer service. The robot has an inventory of all the products in the store. For instance, a customer can show the robot a certain type of nail. The robot will scan the product and recognize it. The robot knows whether the product is in stock and guides the customer to the product in the store.

Integration Progress in Artificial Intelligence: How it works

According to statistics, the global AI software market is expected to reach over $125 billion by 2025.

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Also, it’s predicted that the AI industry will be responsible for creating 9% of all new jobs in the US by 2025. With more automation and more data, new jobs such as monitoring professionals, content curators, data scientists, and automation specialists will arise.

Here are the other signs of the AI integration process and advances in artificial intelligence.

AI Identifies Human Gaps

Let’s jump right to the example of how ai is changing the world. Marketing giant Publicis Groupe has used an internal AI application Marcel, and it helped it save 2,000 jobs during the pandemic. As a result, it plans to scale this tool in the future. In general, it assigns relevant briefs and projects to Publicis’ 80,000 staff. As the company works remotely, Marcel hosted an internal job mobility platform that allowed people to change agencies, move to different markets, and stretch their skill sets.

AI Improves the Work Experience

Tech behemoth Cisco is leveraging AI, machine learning, and smart data to improve the quality of remote working for its 75,000 staff, from engineers to sales reps.

“With 96 percent of employees currently working away from the office and a hybrid working model here to stay for the long-term, it has been using deep-learning algorithms to power an ‘empathetic, inclusive, secure, work-from-anywhere’ experience.”— Gianpaolo Barozzi, Senior director of people and communities at Cisco.

Such solutions of current artificial intelligence technology can include using intelligent videos, so workers can move around different locations and still be present at the meeting, real-time meeting transcription and automated debriefs.

Evolution of AI: What’s New

Here’s the truth: Artificial intelligence is evolving by itself. Recently,
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have developed software in the core of which is the concept from Darwinian evolution, including "survival of the fittest," to build AI programs that improve generation after generation without human input.

The program has all the chances to discover new approaches to AI. For example, So Quoc Le, a computer scientist at Google, and colleagues have created a program called AutoML-Zero that develops AI programs without human impact only by using mathematical concepts.

The program discovers algorithms using a loose approximation of evolution. It starts by creating a population of 100 candidate algorithms by randomly combining mathematical operations and tests them on a simple task, such as an image recognition problem where it has to decide whether a picture shows a cat or a truck.

Future AI Technology Prepares for us

So how will AI impact our lives, and what are the artificial intelligence future applications? According to Forbes, it will have the biggest impact on such areas:

  • Medical

Medical industry already uses AI to its fullest. This area processes an enormous amount of data that can be used for developing predictive models. Also, in some cases, AI is even more effective than physicians when it comes to diagnostic contexts.

  • Automotive

AI is already impacting the world of transportation and automobiles with the development of autonomous vehicles and autonomous navigation. AI will also influence the manufacturing industry, including the automotive sector.

  • Cybersecurity

Cybersecurity is a focus area for most business leaders, especially for the reason of cybersecurity breaches throughout 2020. AI and machine learning will be very helpful in identifying and predicting threats in cybersecurity. AI will also prevent instances of fraud in the financial industry, as it can process large amounts of data.

Proxet has renowned expertise in implementing machine learning solutions in the healthcare sector. It helps businesses identify the market’s needs, offers tailored solutions to meet them, and provides full-cycle development. Our experienced product owners and developers will gladly assist you in visualizing and creating your product. Also, we are open to future applications of artificial intelligence and implementing them into your business!

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