Tag: artificial intelligence training institute

Artificial Intelligence has entered our homes and our workplaces in more ways than one. From our email services to smart vacuum cleaners and more, AI has made life easier and smoother for us. It is no surprise then that libraries, the most crucial resources we have for research, are embracing the powers of AI to streamline the vast repository of material housed by them. Here is a list of applications of AI in the library ecosystem the world over.

Expert Systems

Expert Systems are knowledge based computer systems that play a role as intelligence interfaces for providing access to a database or knowledge system. Libraries can use Expert Systems to facilitate reference services to users and members. For instance, ES provide recommendations to researches looking up a particular question.

Pointer is a very successful application in the area of reference work. It is not a knowledge board system but a computer assisted reference program. Tools like Plexus used widely in public libraries facilitate information retrieval about subject areas, reference books and more. ES are also widely used in cataloguing, indexing and classification of material in libraries across the world.

NLP

Natural Language Processing, a very crucial aspect of Artificial Intelligence, might seem like it is meant for speaking into machines and expecting them to process our words and translate them into textual matter. But NLP has more to it than just this.

Clever low-level natural language processing techniques can permit the use of free-text queries in large information retrieval systems; however, until semantic and pragmatic processing are feasible, difficult problems remain inadequately matching the true subject content of queries with that of document surrogates and documents themselves, says a report.

Robotics

As libraries continue to provide a vast cache of reference material and digital resources, they also continue to receive large amounts of printed material. This combined pressure of providing digital and printed resources to members has led to a major space constraint in libraries across the world. The goal of the Comprehensive Access to Printed Material (CAPM) is to build a robotic, on-demand and batch-scanning system that will allow for real time browsing of printed material through a web interface, says a report. After a user activates the CAPM system, it will initiate a robot to retrieve the requested item and provide it to the person making a request.

However, despite these advantages and more, very few libraries are properly adopting technological advancements in a digital era. “So far, AI’s potential has remained largely untapped among research libraries. A recent Ex Libris survey revealed that while nearly 80 per cent of research librarians are exploring the use of AI and machine learning, only about 5 per cent are currently leveraging the technology,” says a report.

The reasons behind this trend are budgetary problems and the fear of making the post of a librarian obsolete among others. Irrespective of these reasons, it can be safe to assume that AI is the future of the library system. For more on this, do peruse the DexLab Analytics website today. Dexlab Analytics is premier institute offering natural language processing course in Gurgaon.

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Can computers understand food? Can they smell aromas or taste flavours? Well, with Artificial Intelligence (AI) taking the world by storm, the food industry is not outside the purview of AI’s midas touch. In fact, AI is expected to spur the industry on to the path of growth and expansion.

According to some sources, AI in the food and beverages market is expected to register a CAGR of 28.64 percent, during the forecast period 2018-2023. According to others, today, the Food Product and Handling industry is capped at a whopping $100 billion and will continue to grow at a CAGR of 5% at least till 2021.

Here are ways in which AI is fostering the highest standards of processing and handling of food products across the world.

Sorting

One of the most important tasks in a food-processing unit is sorting. Sorting fresh produce by size, colour and quality is the first thing to be carried out and it is time consuming. For instance, sorting potatoes by size and colour will determine whether a food giant will get French fries, hash browns or chips made out of them. Herein comes the role of AI powered machines. Companies like TOMRA Sorting Food have developed sensor-based optical sorting solutions with machine learning capabilities that use cameras and near-infrared sensors to “view food in the same way that consumers do” and sort it based on that perception, says a report. This results in fewer hours spent on manual sorting, higher yields, less wastage and better quality of prepared food.

Managing Supply Chain

With newer food safety regulations being introduced ever so often and a need for transparency growing by the day, it has become imperative for food and beverage companies to put in place robust supply chain management. There are several ways in which this is being done including food safety monitoring and testing of product at every stage of the supply chain and accurate forecasting to manage pricing and inventory.

Personal Hygiene Maintenance

Maintenance of personal hygiene for everyone entering and exiting a food-processing unit is of utmost importance. In 2017, tech company Kankan signed a big deal to provide AI-powered solution for improvement of personal hygiene among workers of food processing units in China. It uses face recognition technology to detect if workers are violating rules that ensure they wear masks and caps to maintain proper hygiene at work. According to Kankan this technology is accurate by over 95 per cent.

Cleaning processing equipment

This process is time consuming and essential to the supply chain. However, researchers are using AI to come up with better technology to reduce time taken and resources spent on cleaning equipment. For instance, researchers at the University of Nottingham have been developing a system that uses AI to reduce and cut down cleaning time and resources by 20-40 per cent. The system known as self-optimising-clean-in-place uses ultrasonic sensing and optical fluorescence imaging to detect food residue and microbial debris in equipment and facilitate cleaning of the same.

Thus, the importance of AI in various sectors of the economy cannot be stressed enough. For more on how AI powers the IT industry, read DexLab Analytics’ blog here and to know more on how AI powers space exploration read its blog here. DexLab Analytics is a premier institute offering artificial intelligence certification in Delhi NCR.

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Artificial Intelligence, the science of making computers function with human-like intelligence, has taken the world by storm. It has transformed the biggest of businesses and industries, from healthcare to agriculture to space exploration. Artificial Intelligence has already become the biggest find of the century.

Information Technology, related to all things computers, software and data transmission, cannot be untouched by artificial intelligence. AI has already brought several advantages to the IT sector, a subject that we are going to examine in this blog brought to you by DexLab Analytics, a premier artificial intelligence training institute in Gurgaon.

Secure Systems

Security of data is of prime importance in today’s world where data is the new oil. Both government and private organisations are therefore striving to better protect the tons of data they are privy to. Through the use of algorithms, AI can provide the necessary security and help create a layered secure system. Not only that, it can also help detect security breaches and potential threats. According to a report, AI and Machine Learning have become crucial to data security in the IT industry. 

Productivity Enhancement

In the IT industry, the most important thing developers are expected to perfect is programming. However, they face numerous challenges in the course of their stints in IT companies with problems like bugs in code and erroneous code marring their goals. AI can be used to solve this problem in that a series of algorithms can be used to aid programmers write better and bug-free code. By judging the structure of the code, AI powered systems can provide suggestions that can improve productivity and help save time in the production process.

Automating Backend Processes

AI is a great enabler of automation, work that can be accomplished without or with minimal human intervention. With the use of deep learning techniques, AI can go a long way in helping automate back end processes in IT companies. This will not only help save costs but also increase accuracy and reduce human effort. “AI enabled methods improve over time as the algorithms adjust to enhance productivity and learn from mistakes,” says a report.

Application Deployment

During software development, deployment control involves various stages and this means that the software versioning control is advantageous and crucial to the deployment stage. AI is known for its predictive powers and capabilities. It can thus be used for predicting problems during the versioning stage. This eases the entire chain of processes because programmers and developers do not have to wait till the last stage to know about hiccups or improve the application’s processes.

Server Optimization

In IT offices and workplaces, computer servers are more often than not loaded with requests in the millions. They in turn have to open those many corresponding web pages, a process that can make them slow and unresponsive. AI, as a service, can help solve this problem by optimising the host server to improve customer service and enhance operations. As the demand for IT increases across business sectors, AI will be increasingly used to integrate staffing demands and provide a seamless integration of current business functions with technological ones.

—EOM—

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On May 30, 2020 a SpaceX Falcon 9 rocket carrying Crew Dragon was launched at 3:22 p.m. US Eastern Time from the Kennedy Space Center, this being the first time a space mission was launched by NASA since it decommissioned its ageing and unsafe Space Shuttle fleet in 2011. The rocket was successful in deploying the vehicle into orbit and safely returning to Earth.

The mission

Aboard the Crew Dragon are astronauts Bob Behnken and Doug Hurley who are to be launched into the International Space Station. The mission marks the first time a private company has pulled off a crewed mission into low Earth orbit, a report said. The Crew Dragon and its self-landing, reusable Falcon 9 rocket is owned by SpaceX, who’s founder and CEO is Elon Musk. NASA just rents the spacecraft and the rocket at a cost of around $55 million per passenger, said another report.

AI in SpaceX’s mission

But did you know this historic mission is powered by the cutting edge technology of artificial intelligence? Yes! A sophisticated AI autopilot steers the cone-shaped Crew Dragon that is on its way to the ISS. Once the Crew Dragon reaches within 60 feet of the space station, the astronauts will maneuver the vehicle to the ISS and remain in space for weeks on end, depending on when they are called back. In 2018 too, a SpaceX rocket flew into space with the first robot powered by artificial intelligence.

AI in Indian space missions

India too has been generating indigenous AI technology to power its space missions. Take for example its Chandrayaan-2 mission that was launched in July 2019. Scientists integrated AI technology with Chandryaan-2’s rover – Pragyan. A report said, the Indian Space Research Organisation delivered Pragyan – a solar-powered robotic vehicle that was to explore the lunar surface on six wheels. Moreover, “the artificial intelligence algorithm could also help the rover detect traces of water and other minerals on the lunar surface.”

How AI powers space exploration

AI helps analyze the huge amounts of data emanating from space exploration and this helps advance space exploration with each passing day. Moreover, AI is making it possible for rovers currently roving the atmosphere of Mars to take decisions independent of the mission. The NASA Curiosity rover can dodge obstacles on its route by itself and determine the best route possible. Data received from space is mainly in the form of images that are studied through machine learning techniques at the NASA Frontier Development Lab that has roped is the services of tech giants like IBM and Microsoft.

Infact, machine learning is helping in solar storm damage detection, atmosphere measurement, and determining the ‘space weather’ of a given planet through the magnetosphere and atmosphere measurement. Reports say the same technology is used in resource discovery in space. Moreover, AI applications “can optimize planetary tracking systems, enable smart data transmission, and nullify the risk of human error (by using predictive maintenance),” said this report.

So artificial intelligence is finding advanced applications is all sectors of the economy and it is clearly becoming indispensable to our lives. In India, institutes are trying hard to inculcate the science of artificial intelligence in the Indian workforce, an effort that is directly resulting in the founding of a great many challenging courses like artificial intelligence certification in Delhi NCR.

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AI is transforming our world in more ways than one with the advent of self-checkout cash registers to security checks at airports. However, in this essay, we look at how AI is transforming the world of e-Commerce.

Already, tech giants are investing heavily in AI and machine learning systems to power their startups and new sources of business. A report, infact, shows that “a recent study by Business Insider suggests that as much as 85% of customer interactions will be managed without a human by as soon as 2020.”

Here is a short list of ways in which businesses are using AI to better understand their customers, generate new leads and provide an enhanced customer experience.

Customer-centric search

Companies like Twiggle are using NLP to “narrow, contextualise and ultimately improve search results for online shoppers.” This is being done to prevent customers from abandoning searches due to a high volume of irrelevant search results showing up on screens.

Also, with enhanced visual capabilities of AI powered software, “AI is enabling shoppers to discover complementary products (by) size, colour, shape, fabric or even brand”.

Retargeting customers

Many “businesses are overloaded with unmanageable customer data that they do little or nothing with. This is an incredible goldmine of intelligence that could be used to enhance the sales cycle.”

As AI develops, it can detect customer dwell time on e-Commerce platforms and strategize marketing offers for customers. “In other words, omni-channel retailers are starting to make progress in their ability to remarket to customers.”

More efficient sales process

Customers are spending more and more time on television and social media. So, if you “want to tailor your problem-solving solutions and create a strong sales message that reaches consumers at the right time on the right platform, then integrating AI into your CRM is the way to go.”

Many AI systems enable NLP and voice input systems like Siri or Alexa that allow them to answer customer queries, solve problems and also identify new arenas of opportunities for the sales team.

Personalization across multiple devices

Personalization is the crux of e-Commerce, like you must have experienced on platforms like Amazon. However, with each passing day, AI systems are becoming more sophisticated with deeper levels of personalization penetrating the ecommerce world.

“Whether it is a mobile application, the website, or an email campaign, the AI engine is continuously monitoring all devices and channels to create a universal customer view. This unified customer view enables e-Commerce retailers to deliver a seamless customer experience across all platforms.”

Chatbots

Moving from mass-market sales to individualized marketing, many e-Commerce retailers are becoming more sophisticated with their AI capabilities “in capturing attention, and one approach widely developing is known as ‘conversational commerce’.”

“In the e-Commerce world, this is the confluence of visual, vocal, written and predictive capabilities. ”Chatbots are one such simulation system that goes a long way in building customer service relations. To read more about chatbots, do go through our previous blog on the subject.

DexLab Analytics, a premiere artificial intelligence training institute in Gurgaon, trains professionals in the latest technological advancements available.

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The Amphan super cyclone last week ravaged West Bengal in India and parts of Bangladesh, killing scores of people, damaging houses, uprooting trees and electricity poles and flooding large swathes of land. The category 2 storm, with wind speeds over 150 km per hour was predicted several days earlier and this helped the concerned governments evacuate thousands of people before it struck.

Thus, we can hardly emphasise the importance of weather forecasting and prediction in today’s world, especially when climate change is at it severest. By some estimates, for instance, in 2016 there were nearly 800 weather related disaster events, thrice the number recoded in 1980. And even if all countries adhere to the Paris climate pledges, by 2100, it is likely that average global temperatures will be higher than pre industrial times by 3 degrees.

Artificial Intelligence

It is therefore imperative for us to study how Artificial Intelligence and its many branches like machine learning, deep learning and neural networks are helping predict weather events. For instance, researchers at Rice University have developed a deep learning model that can predict heat waves and winter storms, i.e. extreme weather conditions. The model was trained by studying hundreds of maps that showed surface temperatures and air pressures. After training, the model was used to read maps it had never seen before and it predicted weather conditions with upto 85 percent accuracy.

Machine Learning

Similarly, Microsoft is investing huge sums of money in ‘AI for Earth’, its flagship project committed to developing machine learning models to predict weather conditions. It has given grants to Columbia University professors to study the pattern of tree distribution in storm affected areas of America by processing thousands of images. In turn, the prediction model studies how much Carbon Dioxide decomposed vegetation is emitting into the atmosphere resulting in global warming.

Deep Neural Networks

Deep neural networks (DNNs) are gradually replacing physics based models of weather forecasting that have been in use for decades now. DNNs are being used to supplant parameterization of physical schemes in the traditional weather forecasting model in the US. DNNs help save on computational complexity in the forecasting process and help in scalability without compromising the model’s prediction accuracy. Humidity, wind velocity, temperatures and much more can be studied and predicted using DNNs.

In India

Last year the Ministry of Earth Sciences organised an event wherein officials said artificial intelligence will be used to predict extreme weather conditions in India. In an article, it was reported that a top ministry official said, “Society needs information about extreme weather events at least 7 days in advance which we are yet to achieve. We are working to provide impact based forecast to society that will tell people about how it will impact their lives. To achieve this, we are going to use artificial intelligence and machine learning to help in improving our understanding of weather and climate phenomena and their forecasting.”

Thus, it is no surprise that more and more institutes in India are gearing themselves for the AI revolution in the country. DexLab Analytics is one such artificial intelligence training institute in Gurgaon to look out for.

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