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Trends in Artificial Intelligence and Machine Learning Right Now

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Artificial Intelligence and Machine Learning are hot topics right now. With the rise of all kinds of chatbots, bots for sports, news or weather, and more. A lot is going on in the field right now. But what are the latest trends happening in AI and ML right now? This post takes a look at some recent developments in AI and ML right now in 2021 in terms of new releases, trends, and all other sorts of AI innovations.

AI in HR

Work from home is becoming ever more prevalent, consequently, AI HR apps check who is signed in and who isn’t. Work pattern algorithms estimate how many hours employees spent on their laptops and who is avoiding work. Going through background checks, they are accurate when red flags on resumes are identified.

Read more on Applications of Artificial Intelligence (AI) in the Workplace

In a survey from Gartner, 17% of organizations use AI-based solutions in their HR function, a number expected to increase to 30% by 2022.

Decision Intelligence

It’s a revolutionary way to make decisions and validate outcomes that can be enhanced with user feedback and data sets. It’s an AI-engineered technology designed to address organizational challenges with AI applications that have already been implemented.

Flipped Classroom

The flipped classroom is an example of modern tutoring in which an instructor records a video on a certain subject, which is then accessed by several pupils. A Virtual Teaching Assistant (VTA) organizes all in-class activities such as online tests and classwork, as well as many sessions of the same course taught by a single virtual assistant, reducing the need for extra tutors.

AI Market Price

It’s an artificial intelligence (AI) rent and sale tool that allows property owners to verify assessment price and rent every month, with options such as property name, flat, and plan. AI is in charge of gathering and analyzing data. Users can get a pricing quote with a variety of features such as good view, good sunlight, Pets friendly, dishwasher, top floor, and more.

Software 2.0

An AI software development tool and future of programming, it makes use of machine learning and neural networks to achieve code and create new software. Aids in developing and implementing crucial AI apps, as well as enhancing current software development by automating tedious programming tasks. Eliminates common programming errors by adding a relevant approach to update current code.

AI Processor

A worldly CPU unifies artificial intelligence and machine learning to make your device smart and mimic human brain operations. Deep learning duties are reduced, and machine learning is used to achieve AI. Built with Neural Processing Units (NPUs) to enable fast AI performance with endless battery life. Image processing and recognition have been sped up to complete regular tasks and programming activities. AI Processors are faster than regular CPUs.

Global Integrated Traffic Systems

Due to trends in technology, the automotive industry is already undergoing fundamental changes. With their robotic efficiency, ML and AI transformed the manufacturing process. Autonomous vehicles are a game-changer in the automotive business, with safety systems and driver aid, leading manufacturers to incorporate them into vehicles, resulting in increased revenue. Fully autonomous vehicles that meet customer expectations are likely to face additional delays.

Generative AI and Data Fabrics

It entails using machine learning models to learn objects and contents from data and then simplifying the process to create new artifacts. Data Fabrics connect all Business areas and users. The data consumption is improved dynamically, and the data integration design for the organization is simplified.

Handwriting Recognition

It’s a device’s or computer’s space to perceive handwriting as real text. As a result, mobile phones use handwriting as input on their screens to connect phone numbers and names to locate contacts. Many of us can write on our cell phones with ease. Optical Character Recognition (OCR) is a feature that recognizes handwriting and operates by capturing pictures of papers.

IoT and Machine Learning

IoT is all around us from our phones to our homes, businesses, vehicles, and beyond. Practically everything was managed manually by computers that were coded by humans. IoT is the point when all of these things begin to communicate with one another and, through machine learning, become smarter about how they interact and what they do without human oversight.

Machines can collect data, evaluate it, and take actions in response to IoT. Machine learning is a technique for improving machine responses by feeding data back into algorithms.

When security cameras or smart home gadgets are connected to the internet, we may use machine learning algorithms to improve their performance and enable them to function without human intervention.

Conclusion 

Artificial Intelligence and Machine Learning both are evergreen and never-ending fields. Integrating both two will result in the greatest apps for every industry, with results that exceed expectations. To acquire the finest outfits, companies must invest more in AI, making them smarter than their competitors.

Visionify, an AI company working on providing Artificial Intelligence solutions for the modern enterprises. Our offerings are backed up by strong domain expertise in Computer Vision, Machine Learning and Deep Learning technologies.

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