Perlmutter is the world’s fastest AI supercomputer, as claimed by Nvidia, NERSC.
Named after Known astrophysicist Saul Perlmutter, the brand new supercomputer boasts 6,144 NVIDIA A-100 Tensor Core GPUs. It will probably be tasked with stitching with the largest ever 3D map of this observable universe, along with other endeavors.
Image courtesy : www.nersc.gov
Perlmutter has been “the quickest system on our earth” at communicating workloads with the 16-bit along with 32-bit mixed-precision mathematics employed in artificial intelligence (AI) software.
Perlmutter: Revolutionizing AI with Unmatched Speed and Power
This supercomputer will help build the most significant 3D map of this observable universe thus far. It’ll process data out of the Dark Energy Spectroscopic Instrument (DESI), also a sort of cosmic camera which could capture as much as 5,000 galaxies in one exposure,” as told by Nvidia worldwide HPC/AI product advertising lead Dion Harris.
An identical soul fuels many endeavors that’ll operate using NERSC’s new supercomputer. By way of instance, work in science intends to detect atomic connections, which may point how to enhance batteries along with biofuels.
Conventional supercomputers can scarcely manage the necessary math to create simulations of several atoms within a couple of nanoseconds with apps like Quantum Espresso. However, by mixing their exceptionally accurate simulations with machine learning, scientists could study more electrons within longer period of time.
Perlmutter is not just any ordinary computer; it is the epitome of cutting-edge technology and innovation. This remarkable machine has earned the prestigious title of being the world’s fastest AI supercomputer. With its lightning-fast processing power and unparalleled capabilities, Perlmutter is revolutionizing the field of artificial intelligence.
It is a powerhouse of computational prowess, capable of tackling complex problems and analyzing vast amounts of data in record time. Perlmutter’s incredible speed and efficiency make it a game-changer in the world of AI, propelling scientific research and technological advancements to new heights.
Within the last decades, we’ve not ceased wondering if technology could replace people. Time for the matter of the gap between both automation and hyper automation, the solution is simple: hyper automation creates the procedure for finishing automation more technical, controlled and intelligent from artificial intelligence based robots.
It isn’t nearly completing actions, but also regarding optimizing the very best strategies to have these done. To try it, it’s critical to assess the company capacities and the degree of digitization before needs to create an AI based automation system utilizing a variety of technologies. Since hype automation is determined by the ideal blend of distinct applications utilizing artificial intelligence, it’s suggested for any firm to spot a pair of startup resources which may be invested directly into start construction hype automated procedures within the provider.
As practice shows, these tools must be long to exactly the exact same system and readily socialize with each other as a way to guarantee maximum efficacy and smooth functioning from one. But perhaps more important is focusing on how employees think about implementing new AI powered procedures.
Before embarking on hype automation, then it’s crucial to give a supportive environment and educate and show employees the way these new technologies can enhance the standard of their job and also enhance the overall efficacy of performing regular tasks. It’s ideal to begin the interior examination and also the slow implementation process to day.
Artificial Intelligence changed the whole meaning of technology, something that eased human work up to the extent that humans don’t even need to interfere. Machines can do things like driving a car, doing home chores, maintaining data and human resources without human interference. Artificial Intelligence is truly a gift that is considering going to change our lives for good and take us to the point of technological advancement.
Before we go any further, I would like to give a small definition of AI.
Artificial Intelligence is a field that focuses on building highly intelligent systems and machines that can work in place of humans or work to minimize human interference and exhibits Intelligence just like humans.
Artificial Intelligence has been beneficial in technological advancement and helped humans do things that were impossible to do earlier. And even now, in the time of this COVID-19 pandemic, Artificial Intelligence is helping us do some things that we never thought we would be able to pull off.
The COVID-19 Pandemic has shown us that remote work is no longer a luxury anymore; it’s the need of the hour. All companies out there are adopting “Work From Home” and making their employees work remotely. While this shift is taking place, don’t you think it would be very challenging to supervise the work, schedule the tasks to respective teams, and manage resources and productivity? Actually, No! Artificial Intelligence can help us layout effective solutions to manage remote workplace strategies and improve work efficiency.
Already, we can see organizations mass adopting numerous Artificial Intelligence-based tools for various purposes. From automation to boosting efficiency and convenience, let us look at five ways Artificial Intelligence is helping remote workers.
1) Team Collaboration
Whenever we talk about remote work, we inevitably think that communication between the team would be hindered.
According to various reports, last year, most of the employees worked around the clock and were logged in for extra hours.
The personal life of employees was getting affected because of professional life. On top of that, employers had no idea of what’s happening in their teams.
But thanks to AI-based tools, communication, and collaboration between the team working from home or remotely aren’t challenging anymore. There are various AI-based tools that help both employers and employees take account of their time, work, and efficiency on a daily basis.
With the help of various AI-based tools, any number of team members can connect at the same time to communicate their ideas, solutions, or anything related to work.
2) Making Meetings More Productive
Well, we can’t deny that meetings are always boring, be it an online meeting or an offline one. But if you think from a different perspective, you would realize that online meetings (done via AI-based tools) are much more interactive, effective, and productive than offline ones. AI tools provide you with insight that is usually not possible during an in-person meeting.
Getting information like how many people actually attended the meeting, how active they were during the meeting, and how much time they were attentive to the topic. Along with that, you can automatically record the meetings, capture and present relevant information or resources, i.e., videos, weblinks, and documents. All these facilities help save time, increase team productivity, and keep real-time track of everything that’s going on in the meeting.
Artificial Intelligence-powered tools can help organizations to free up their people to do more creative, less operational work.
Operational and administrative teams working remotely usually have to take up out-of-office work and go out there to do things like maintaining company records, data, or basic administrative tasks.
Artificial Intelligence systems can easily automate repetitive tasks so that the employees can focus on critical tasks.
Advanced Artificial Intelligence helps admin teams to automate all the repetitive work and helps everyone achieve efficiency, productivity, and more creative power.
Working professionals have many important tasks which can possibly be done without human interference, such as Emailing clients, scheduling meetings and calls, and maintaining databases. Nowadays, Artificial Intelligence holds power to create such tools to do the given tasks and help remote professionals. For example, Google Assistant, Alexa & Siri can arrange meetings, manage data on user’s demand, and literally do everything mentioned a few lines ago.
Technology is expanding at a tremendous rate that people can stay connected to their employers and work without any hassles from anywhere they want.
4) Easy troubleshooting
Remote workers often have various issues related to their systems and tools, and without access to immediate IT support, either their work gets stuck, or they have to find solutions themselves—and this is a big hurdle for their productivity. If you look at it, most work-from-home problems are related to techs, such as faulty software programs, unreliable internet connections, or maybe some issue with their device itself.
With the help of Artificial Intelligence, people can solve most of these technical problems on their own. To name such an AI-based tool, there is a real-time AI bot (by Wipro HOLMES) that can answer your queries and guide you on solving the issue or troubleshooting the system or tool. As companies now understand the benefits of letting their employees work remotely and home and office gradually merging together, technology will continue to advance and adapt to these new work systems. Although remote work is a challenge for many people right now, these AI-based tools undoubtedly make our lives a lot easier.
5) Real-time engagement feedback
Did you know employees working remotely are more likely to leave a company than the ones who are working from the office? But why? The reason is simple: engagement! When your employees work from home, they aren’t connected to you or your company’s culture. On top of it, you never know what they are thinking about the company, what are their primary concerns and feedback.
Without having proper engagement and fun activities with employees, it can be easy for motivation to plummet.
Working continuously from home can undoubtedly make the employees feel disconnected from workmates, leading to disengagement and even stress, anxiety, and ill-health.
Fortunately, several new Artificial Intelligence-powered tools can help mitigate these problems up to an extent. These tools rely on NLP and sentiment analysis to reveal employee morale and activeness.
Artificial Intelligence systems can provide effective means of measuring employee well-being and engagement by doing sentiment and interaction analysis, highlighting where employees need help.
Such advanced tools can be really useful for companies that aim to understand and optimize their human resources. These AI systems can even suggest support resources and activities to help to make things better.
Elin is another tool that uses more than 140 markers to arm management with real-time feedback of their human resource.
Though privacy remains a major concern in using these tools, these tools still seem promising to help companies bridge the gap to a remote workforce.
6) Developing skills
The skill gap is not a new issue, it has always been there, and it’s definitely going to increase as we shift towards working remotely. Many experts from the Artificial Intelligence field believe that Artificial Intelligence can help tackle these issues and nurture skill sets. There are tons of tools in the market which use Artificial Intelligence to keep track of an individual’s knowledge level and help them advance their skills with proper guidance.
More and more cloud-based learning systems are coming into the picture, which helps their users learn right from their homes and even lets them analyze their current level.
7) Overcoming The Drawbacks of Remote Work
Following the various perks of Work From Home, it’s inevitable that more organizations will embrace WFH at a much faster rate. However, in reality, it’s not ideal for everyone. Some employees cannot contentedly work from home due to having a confined shared living space and always remain unsatisfied because they cannot join offices and subsequently find it difficult to become productive. But if from a layman’s perspective, remote work can significantly benefit both organizations and employees.
But to tackle the issue employees face, businesses are working to craft sustainable Work From Home tools to manage productivity and delegate tasks effectively from afar.
Conclusion
There is no doubt that the developments in Artificial Intelligence have proved to solve almost every issue we face, especially when it is concerned with increasing efficiency, productivity, and decreasing human interference. Working from home or remotely is the new normal in this pandemic. Even if you take this pandemic out of the picture, you will realize that working from home has proven beneficial for both employees and employers. This way, employers were able to reduce their operational costs while the employees could work in a free environment.
COVID-19 has made remote work an essential choice in aiding the protection of employees. This, in turn, is helping Artificial Intelligence experts to learn and research more about the potential AI holds in easing the work for humans. These new developments could lead to more opportunities and opening the doors for full-time remote work. And Artificial Intelligence can easily be deployed in regular organizational activities and turn things around on a brighter side.
Author Bio :
Ram Tavva, Senior Data Scientist and Alumnus of IIM- C (Indian Institute of Management – Kolkata) with over 25 years of professional experience Specialized in Data Science, Artificial Intelligence, and Machine Learning.
PMP Certified
ITIL Expert certified APMG, PEOPLECERT and EXIN Accredited Trainer for all modules of ITIL till Expert Trained over 3000+ professionals across the globe Currently authoring a book on ITIL “ITIL MADE EASY”.
Conducted myriad Project management and ITIL Process consulting engagements in various organizations. Performed maturity assessment, gap analysis and Project management process definition and end to end implementation of Project management best practices
The Robotic Process Automation (RPA) and Artificial Intelligence (AI) has recently shown great interest in being able to significantly reduce labor costs while increasing efficiency, improving the user experience and improving customers. .
According to leading analysts, the global APR market is expected to reach $ 25.56 billion. The artificial market is estimated at $25.56 billion by 2027 and is expected to reach $ 390.9 billion by 2025.
For starters, RPA and AI are two different but complementary technologies. On the other hand, while RPA is used to automate repetitive rule-based tasks, AI improves automation and helps automate decision-based tasks. When these technologies are used together, companies can expand their automation to attract more people to their larger digital innovation goals.
We will take a closer look at what RPA and AI offer, how they differ, and when complementary technologies for end-to-end automation can be used together.
What is RPA?
Robotic process automation (RPA) is a product tool that allows users to modify one or more scripts to automatically generate specific keys. As a result, bots can be used to track or mimic selected tasks in an integrated business or IT system.
RPA works best when using policy-based cycles where work processes don’t change over time or require a lot of personal communication to resolve differences. At the same time, the RPA Course is becoming important to equip employees with the knowledge, practices and tools necessary for the implementation and operation of RPA-powered systems. Among other things, RPA can understand the common and tedious steps that will strengthen your business.
Examples:
Log in to the application
Logging into the system APIs.
Copy and paste information.
Reordering information
Scratching information from the web
Open emails and attachments
Cleanup/formatting of Excel worksheets.
Navigate various applications/systems for transcribing data.
Data extraction using structured documents.
Perform predefined tasks as required.
What is AI?
Artificial Intelligence (AI) demonstrates the reenactment of human understanding in machines that are designed to think like humans and records their work. This term can be applied to any machine of a spiritual nature, such as learning and solving problems.
RPA users use very disruptive AI technology. RPA and AI work online to create more facilities and systems. Simply put, AI is a simulation of the human mind through computer systems. These experiences include study, meditation and self-improvement. AI uses data to transform it into a method of the human mind. Some of the most common applications of AI include auto-display, voice recognition, voice recognition, image analysis, and more.
Because almost all organizations have structured and unstructured data, many systems need to work together on RPA and AI to find extreme solutions. AI is designed to solve complex processes that was previously done by only humans.. Today, these AI-enabled robots can make decisions and predict multiple outcomes with large amounts of data. Unlike RPA, AI cannot act alone.
For instance, an AI-enabled bot can:
Understand conversations and documents
Visualize screens
Discover tasks and processes to automate
Process language
Handle semi-structured or unstructured data
Difference between RPA vs AI?
Artificial intelligence can automate the functions, whereas RPA’s reduce human activity. No doubt these two solutions work well together. The integration of artificial intelligence and RPA functions creates a complete and independent process
For example, if we need special accounts for the system, the accounts are scanned with RPA and added to the computer software. Artificial intelligence is used as an appropriate hierarchy to automatically sort non-productive accounts and uses the procedures implemented by the RPA program. This RPA-AI combination concept is referred to as the Automation Continuum.
RPA
AI
RPA is a software robot that may be reflective of human activities.
Simulated artificial intelligence is the re-enactment of human knowledge in personalized machines to think like people and copy their activities.
The main point of the RPA is to use robotics on tedious and ordinary commercial measures.
2. AI is based on intelligence, which depends on ‘reflection’ and ‘learning’.
RPA robots automate the assignments according to specified rules.
3. Artificial intelligence is the replacement of human work.
The RPP is not a difficult task. Now and again, an RPA can be perplexed with huge organisations of programmers exchanging data between them, but it will actually be an easier suggestion than AI.
4. Artificial intelligence replaces human work. In many organisations, robots or machines operate rather than human specialists.
The RPA is supposed to be a cycle-based innovation because the RPA is related to monotonous mechanization and rules-based trade measurement.
5. AI requires a ton of work to get in place and run.
RPA is a standard innovation with no insight at all. It simply mechanizes redundant assignments.
6. Artificial intelligence integrates innovations like ML (Machine Learning) and NLP (Natural Language Processing), which help do more than make rules-based engines to mechanize redundant tasks..
RPA can have a huge impact on huge organisations as they can manage huge measures of information precisely without the need for a manual contribution.
7. AI supports the dynamic. It reinforces the process without human inclusion.
Conclusion:
Indeed, AI is a generic term for many different technologies, one of which is robotic process automation. AI makes the RPA stronger and more productive. RPA is like your digital workforce – you show bots what to do and they’ll do all the work. They may interact with any system or application in the same way as humans.They learn from humans and have a goal, to carry out the tasks which humans assign and control. The idea is to program robots performing banal and repetitive tasks that are a real waste of human effort and time. The idea behind AI is to get computers to copy humans into some or every aspect of their behaviour.
Author Bio:
Sowjanya Kodiganti has been working with various Technologies for over two years. She is currently working as a Content Writer for Mindmajix. She wrote articles on the trending IT-related topics, including Angular JS,Power Automate, Artificial Intelligence, Data Science, BluePrism, Python, Cloud computing, etc. You can reach me on LinkedIn.
Artificial Intelligence is a vast branch of computer science that focuses on building machines with human-like intelligence. AI, at its core, aims to help machines replicate human intelligence. Algorithms backed by artificial intelligence are designed to make decisions based on real-time data. Unlike machines that act in a predetermined manner, AI-backed machines collect and use inputs from various sources and analyze them to determine the appropriate response.
Artificial Intelligence can be characterized by its ability to learn and make decisions in an adaptive manner. This technology is all about modifying decisions as per the conditions or circumstances. It incorporates changes algorithmically and makes decisions when faced with new possibilities.
What are the branches of Artificial Intelligence?
The main three branches of Artificial intelligence are:
Machine Learning:Machine learning is one of the most demanding fields in the tech industry. Machine Learning is what gives devices the ability to learn and adapt to new information or conditions without any prior programming. It is the science that allows machines to interpret excuse and examine data for solving problems in real-time. Self-driving cars, recommendation engines, malware filtering, image and speech recognition are some of the applications driven by machine learning. The machine learning algorithm is advanced in terms of recognizing patterns from the existing data and predicting the outcomes accurately with the need for an explicit program.
Robotics: Robotics is a field that combines computer science, mechanical engineering, and software engineering. It forces on designing, developing, and operating robots to perform certain tasks they were produced for. These robots are often built to perform tedious tasks that can be laborious for human beings to perform accurately and uniformly. While a robot is an intelligent body, AI creates a system for it to perform these tasks in a way that is similar to a human performing them.
Natural Language Processing: Machines do not speak the human language and our words and phrases will not be understandable for computers as they only understand code. Natural language processing is an AI-backed technology that allows machines to read, decode and make sense of normal human interaction. These Natural Language Processing systems record human commands and turn them into texts and then later into components to understand the intent of the person and the context. Then processing systems help machines determine what needs to be executed based on the interpreted command.
Types of Artificial Intelligence:
Artificial intelligence can be categorized based on its capabilities and functionalities.
There are three types of Artificial intelligence that fall under the Capabilities criteria:
Narrow Artificial Intelligence:Also known as weak Artificial Intelligence, Narrow AI concentrates on a single task and its performance is narrowed down to that task. It basically targets one spectrum of cognitive abilities and specialties in them. This type of Artificial intelligence is quite common and can be seen in deep learning and machine learning. Google translate, page ranking algorithms of search engines, spam filtering within email providers, and Apple’s Siri are all examples of Narrow AI. Narrow AI systems tend to excel in certain domains and outperform human beings, however, when faced with conditions outside their range of understanding these systems fail as they cannot shift their knowledge from one area to another. It is great for developing applications that need to operate in predictable environments and where the rules are fixed.
General Artificial Intelligence:Referred to as strong Artificial Intelligence, General Artificial Intelligence as opposed to Narrow AI has a wider scope as it can learn and perform any intellectual task just like human beings. This type of Artificial Intelligence enables machines to use their knowledge in a variety of conditions. Even now, researchers and specialists have not been able to develop strong AI. In theory, it is the next level of artificial intelligence and many fear that strong AI is a threat to human jobs. Strong AI is characterized by its ability to reason, make quick and accurate judgments, communicate, solve problems and puzzles, and plan. Theorists have argued that Strong AI will be able to go through a development process like human beings, beginning with childlike thinking and ending up developing an adult mind through learning. Another school of thought is that we may not realize when Strong AI has been developed as experts have not yet agreed on what constitutes intelligence.
Super Artificial Intelligence:Today, Artificial Intelligence is a means to help machines understand and replicate human intelligence while performing certain tasks. However, in the future, many speculate the AI will possess abilities that are far more superior to human intelligence. Super Artificial intelligence just like General Artificial Intelligence is non-existent. It believed that Super AI will be able to surpass human intelligence and perform tasks more efficiently than any person can. It is an evolved version of Strong AI, that can understand and go through human emotions and experiences. Just like a person, Super AI systems will have their own needs, feelings, beliefs, and desires. This type of AI can make its own decisions with no human intervention at all. It has been hypothesized that even the most intelligent human minds cannot compete with the capabilities of super Artificial Intelligence. The potential of Super AI systems seems appealing, however, the consequences of this concept are unknown and can be dangerous to mankind.
In addition to these, there are four more types of Artificial Intelligence under the Functionalities criteria:
Reactive Machine: Reactive machines are the simplest types of Artificial Intelligence systems that view the world directly and just react to what it observes. These machines do not store any past data or use memory and are purely reactive. These machines cannot utilize their past decisions to make future decisions. Reactive machines have a specific task and cannot work on anything beyond those tasks. The best example of Reactive machines in IBM’s Deep blue that observed the pieces on the chessboard and reacts to them. Deep Blue could defeat chess grandmaster Kasparov. It was only capable of reacting to chess moves and only acts based on the present components. The main characteristic of reactive machines is that no matter how the conditions are, these machines will only act in the way they were programmed, they do not learn and grow over time.
Limited Memory: Limited memory is just like the machine learning model that derives data from past experiences, and stores information to make decisions in the present scenario. Limited memory learns and grows with experiential knowledge. These systems can store and use data for a limited time period and once they perform the task they cannot store it in a library of their previous experiences. Self-driving cars utilize this limited memory, they keep storing data on the speed limit, speed of other cars, and maps to navigate the roads, but nothing more than that. In simple words, limited memory AI systems have a short-lived memory even though they can use their past data, unlike reactive systems.
Theory of Mind:Theory of Mind AI systems have a similar decision-making ability to human beings. Today, voice assistants like Siri, Alexa, and Google Assistant showcase some human-like abilities and follow commands accurately, however they cannot converse like normal human beings. Human interactions are mostly social interactions with thoughts and emotions. It is believed that theory of mind AI systems will be able to find, understand and store emotional responses of human beings and will be able to react appropriately. This is an advanced type of Artificial Intelligence that can recognize the rapid emotional and behavioral shifts in people and learn them quickly. Robots like Kismet and Sophia developed in the years 2000 and 2016 respectively, are the perfect examples of theory of mind AI. Developed by Professor Cynthia Breazeal, Kismet, can mimic emotions in terms of human facial expressions, and the humanoid bot Sophia developed by Hanson Robots is physically built like a human being, and her image recognition capabilities help her respond to humans with the right facial expressions.
Self-Awareness:Self-awareness AI only exists in theory and an imaginary world. These systems will understand internal human traits, conditions, states, and emotions. These machines will be able to perform better than the human mind and will evoke emotions within those it interacts with. They are the ultimate AI development goal. These theories are still being questioned by scientists on whether these AI systems will be as self-aware and conscious as a person.
Differentiating between types of AI helps in understanding what this technology can do. If it’s just good at particular behavior, it’s a narrow or poor AI. If it works in any situation at the same level as a human, it’s a General or Strong AI. And, if it functions well beyond the potential that any person might hope for, it is artificial superintelligence.
In recent years, the ability of AI systems to integrate intentionality, intellect, and adaptability into their algorithms has seen extraordinary advances. AI systems studies the environment as it moves along and integrates a holistic view in its decisions. It improves human efficiency in this way and increases the capacities of people, instead of threatening them as per many doomsday theorists.
