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· 6 min read
Nidhi Worah

Unlock the mystery of AI with this epic multi-part series, taking you on a journey from its humble beginnings to the present day. Join us as we explore different aspects of Artificial Intelligence in this entire series.

Artificial Intelligence (AI) is an exciting and rapidly growing field that has the potential to transform our world in countless ways. From self-driving cars to virtual personal assistants, AI has already made its way into many aspects of our daily lives, and its applications continue to expand.

Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines “man-made,” and intelligence defines “thinking power”, hence AI means “a man-made thinking power.”

Artificial Intelligence is a branch of computer science by which we can create intelligent machines which can behave like a human, think like humans, and able to make decisions.

But what exactly is AI, and how did it come to be? In this article, we’ll take a brief look at the history of AI and its evolution over time.

Early Concepts of AI

The idea of machines that could mimic human intelligence dates back centuries, with early examples including the ancient Greek myths of Talos, a giant bronze statue that could move and act on its own, and Pygmalion’s statue, which was brought to life by the goddess Aphrodite.

Figure 1 - Talos
Figure 1 — Talos by Adrienne Mayor

In the modern era, the concept of AI began to take shape in the mid-20th century. In 1950, computer scientist Alan Turing proposed the “Turing Test,” which is still used today to measure a machine’s ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.

Early AI research focused on rule-based systems, in which machines were programmed to follow a set of explicit rules to solve problems. While these systems were effective for some tasks, they were limited by their inflexibility and inability to learn from experience.

AI has many sub-categories like Machine Learning and Deep Learning. People usually tend to use these terms interchangeably. Let’s look at these terms in brief -

Figure 2 - Sub-categories of AI
Figure 2 — By the Author — Types of Artificial Intelligence

The Rise of Machine Learning

In the 1980s, a new approach to AI emerged: Machine Learning. This approach involved designing algorithms that could learn from data, identify patterns, and make predictions based on that data.

Machine learning algorithms were initially used for simple tasks such as recognizing handwritten characters, but their applications quickly expanded to more complex problems, including speech recognition, image recognition, and natural language processing.

Deep Learning and Neural Networks

In the 2010s, a subfield of machine learning known as deep learning began to emerge, fueled by advances in computing power and data storage. Deep learning algorithms are modeled after the structure and function of the human brain, using artificial neural networks to simulate the behavior of neurons and synapses.

Deep learning has enabled breakthroughs in areas such as image and speech recognition and has led to the development of autonomous vehicles and other advanced technologies.

The Future of AI

As AI continues to advance, its potential applications are virtually limitless. From personalized healthcare to smart homes and cities, AI has the power to revolutionize nearly every aspect of our lives.

As Uncle Ben says, “With great power comes great responsibility.” AI systems become more sophisticated, it’s important to ensure that they are designed and deployed ethically and responsibly, with consideration for issues such as bias, privacy, and security.

Types of Artificial Intelligence

Figure 3 - Types of AI
Figure 3 — By the Author — Types of Artificial Intelligence

Artificial Intelligence — Type 1: Based on Capabilities

Narrow AI

  • Narrow AI is a type of AI that is able to perform a dedicated task with intelligence.
  • Narrow AI cannot perform beyond its field or limitations, as it is only trained for one specific task. Hence it is also termed weak AI. Narrow AI can fail in unpredictable ways if it goes beyond its limits.
  • Some Examples of Narrow AI are playing chess, purchasing suggestions on e-commerce sites, self-driving cars, speech recognition, and image recognition.

General AI

  • General AI is a type of intelligence that could perform any intellectual task with efficiency like a human.
  • The idea behind the general AI is to make such a system that could be smarter and think like a human on its own.
  • It is currently a hypothetical concept, and we don’t yet have any real-world examples of this type of AI.

Super AI

  • Super AI is a level of Intelligence of Systems at which machines could surpass human intelligence, and can perform any task better than humans with cognitive properties. It is an outcome of general AI.
  • Super AI is still a hypothetical concept of Artificial Intelligence. The development of such systems in real is still world changing task.

Artificial Intelligence — Type 2: Based on Functionality

Reactive Machines

  • Purely reactive machines are the most basic types of Artificial Intelligence.
  • Such AI systems do not store memories or past experiences for future actions.
  • These machines only focus on current scenarios and react to them as per the possible best action.
  • Examples: IBM’s Deep Blue system, Google’s AlphaGo

Limited Memory

  • Limited memory machines can store past experiences or some data for a short period of time.
  • These machines can use stored data for a limited time period only.
  • Self-driving cars are one of the best examples of Limited Memory systems. These cars can store the recent speed of nearby cars, the distance of other cars, the speed limit, and other information to navigate the road.

Theory Of Mind

  • Theory of Mind AI should understand human emotions, people, and beliefs, and be able to interact socially like humans.
  • This type of AI machine is still not developed, but researchers are making lots of efforts and improvements for developing such AI machines.

Self-Awareness

  • Self-awareness AI is the future of Artificial Intelligence. These machines will be super intelligent and will have their own consciousness, sentiments, and self-awareness.
  • These machines will be smarter than the human mind.
  • Self-Awareness AI does not exist in reality still and it is a hypothetical concept.

Conclusion

Artificial intelligence has come a long way since the early days of rule-based systems, and its evolution shows no signs of slowing down. With ongoing research and development, the potential applications of AI are vast and ever-expanding.

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· 5 min read
Kunal Agrawal
Keval Waghate
Deexith Madas
Ananta Pandey

A robotic hand touching a speck of light

Unlock the Power of BingAI: Experience the Future, Today! 1

Microsoft has made Bing AI accessible to the public, eliminating the waitlist requirement. Users can now try out the AI bot by signing in to Bing using their Microsoft account on the Edge browser. The latest update introduces several exciting features powered by OpenAI's technologies.

Also, Bing AI now supports rich "visual answers," displaying graphs, charts, and formatted content. The Bing Image Creator has been upgraded to support over 100 languages, enabling the generation of AI images based on text prompts and visual examples. Additionally, users can export and share chats, benefit from improved summarization capabilities for long documents, and enjoy actions within Edge for quicker access to relevant content. Microsoft is also developing third-party plug-ins to expand functionality within Bing Chat.

LinkedIn's Intelligent Assistance: Craft the Perfect Job Application 2

LinkedIn is reportedly testing an AI-powered feature that provides personalized writing suggestions for job seekers, aiming to help them create tailored job applications. The feature generates short cover letter-like messages using information from the user's profile, the hiring manager's profile, the job description, and the targeted company. While the AI-generated drafts serve as a starting point, LinkedIn emphasizes the importance of customization and encourages users to review and edit the suggestions to reflect their own voice and style.

This development builds upon LinkedIn's existing AI writing tool for profile creation. The adoption of AI in job application drafting reflects the growing interest in artificial intelligence, with its potential to enhance user experiences and improve outcomes in various industries, including recruitment and career development.

YOLO-NAS: Revolutionizing Object Detection with Unprecedented Precision 3

Deci AI, a deep learning firm, has unveiled YOLO-NAS, its latest deep learning model designed for real-time object detection with remarkable performance. Built on Deci's Neural Architecture Search Technology, AutoNAC™, YOLO-NAS outperforms other models like YOLOv6, YOLOv7, and YOLOv8, including the recently launched YOLOv8. AutoNAC democratizes Neural Architecture Search, enabling organizations to create customized, fast, accurate, and efficient deep learning models quickly.

YOLO-NAS delivers superior throughput, achieving 50% more throughput and 1 mAP higher accuracy compared to other YOLO models. It is pre-trained on popular datasets, making it suitable for various real-world applications. The open-source model is available with pre-trained weights for non-commercial research use on Deci's PyTorch-based computer vision training library called SuperGradients.

Introducing StarCoder: Free Code-Generating Assistant 4

Hugging Face and ServiceNow Research have jointly released StarCoder, a free code-generating model that offers an alternative to existing AI systems like GitHub's Copilot. StarCoder, part of the BigCode project, was trained on over 80 programming languages and integrates with Microsoft's Visual Studio Code editor. Unlike other commercial models, StarCoder is royalty-free and available for use by anyone, including corporations.

The project aims to develop state-of-the-art AI systems for code generation in an open and responsible manner. StarCoder's release comes amidst debates around the use of public source code and licensing agreements for training AI models, with efforts made to address privacy concerns and adhere to ethical best practices.

Geoffrey Hinton: AI's Threat Could Be 'More Urgent' Than Climate Change 5

In a recent interview, renowned AI pioneer Geoffrey Hinton expressed his concerns that the threat posed by artificial intelligence (AI) to humanity could be even more urgent than climate change. Hinton, often referred to as one of the "godfathers of AI," believes that the risks associated with AI technology are significant and warrant immediate attention. Having recently left Alphabet, Hinton intends to speak out about these risks without any constraints from his former employer. As the debate around AI's impact on society continues to unfold, Hinton's remarks highlight the need for careful consideration and proactive measures to ensure the responsible and ethical development and deployment of AI technologies.

Accelerating the Quest for New Metals: ML Offers a Promising Solution 6

Machine learning could help develop new types of metals with useful properties, such as resistance to extreme temperatures and rust, according to new research. This could be useful in a range of sectors—for example, metals that perform well at lower temperatures could improve spacecraft, while metals that resist corrosion could be used for boats and submarines. Usually they start off with one well-known element, like iron, which is cheap and malleable, and add one or two others to see the effect on the original material. It’s a laborious process of trial and error that inevitably yields more duds than useful results. Researchers from the Max Planck Institute managed to identify 17 promising new metals using this method.

Revolutionizing ML: Researchers Unveil a More Agile Approach 7

Artificial intelligence researchers have celebrated a string of successes with neural networks, computer programs that roughly mimic how our brains are organized. In 2020, two researchers at the MIT led a team that introduced a new kind of neural network based on real-life intelligence — but not our own. After a breakthrough last year, the novel networks may now be versatile enough to supplant their traditional counterparts for certain applications.

Liquid neural networks offer an elegant and compact alternative , said Ken Goldberg, a roboticist at the University of California, Berkeley. These networks can run faster and more accurately than other so-called continuous-time neural networks, which model systems that vary over time

· 6 min read
Nikita Shukla

Are you one of those engineers who are just engrossed in academics and is looking to do something more than that in your college days? Rotaract Club of TCET is one of the perfect choices to go for. I f you are searching to participate in something interesting where you can develop yourself and volunteer as well, you are at the correct place. To know more continue reading this blog.

‘Boldly Going: Rotaract Club of TCET '

RCTCET

"The purpose of life is to live it, to taste experience to the utmost, to reach out eagerly and without fear for newer and richer experience."

-Eleanor Roosevelt

Whether you're a musician, artist, athlete, writer, or simply someone who loves trying new things, Rotaract Club of TCET offers a welcoming and inclusive community where you can connect with like-minded individuals and pursue your passions. From workshops and classes to group outings and events, RCTCET provides a variety of opportunities for personal growth, skill development, and social interaction.

Types of Projects & Events conducted in RCTCET

1. Volunteering

Volunteering in community service related projects or events can help you gain practical experience while also contributing to your community.By volunteering, individuals can gain a deeper understanding of community needs and become more empathetic towards others.Community service volunteering activities are a valuable way to give back to the community and make a positive impact on society. They provide individuals with opportunities to engage in meaningful work, develop new skills, build relationships, and gain a sense of personal fulfillment.

Few volunteering events:

  • TechWorld
  • This is a flagship (activities which happens throughout the year) activity where we teach the underprivileged about electronic circuits and create awareness amongst them to pursue Engineering as a career, to mentor younger students for their bright future.
  • Emergency
  • The main aim of conduction of this event is to make our budding Engineers well aware how to perform CPR and give first aid to someone in need.
  • Beach Cleanup
  • Such events are conducted by keeping the welfare of the community and balance of ecosystem in mind. This could be possible only with the contribution of people who are genuinely interested in volunteering. Afterall,"If you concentrate on small, manageable steps you can cross unimaginable distances."

2. Space to Socialize

Joining clubs and organizations is a great way to meet people who share your interests such as sports, music, etc. It is an amazing platform to meet new people and develop bonding. Remember, socializing in college can be challenging at first, but it's important to step out of your comfort zone and take advantage of opportunities to meet new people. Be yourself, have fun, and enjoy the college experience! We have fun Club Service (Avenue) Events which promotes students to know each other irrespective of their branches and to have fun together releasing the academic exhaustion aside.

Examples of such socializing events:

  • Sunday Funday
  • Treasure Hunt
  • Movie Night
  • Badminton Tournament
  • Kick it!(Football Tournament)

3. Space to express creativity

Rotaract Club of TCET provides a cavity to students where they can express their artistic or literary talents. Members can explore different genres of writing, such as poetry, fiction, creative nonfiction, and screenwriting. They can also participate in writing prompts and exercises, which can help them generate new ideas and experiment with different writing styles. Students can showcase their work through public readings and publications. For our members possessing artistic talent, be it in the form of paper or digitalized form of art they can contribute by means of Digital Communication. They can learn, grow and experiment at the same time. For individuals who love to capture beautiful moments they can come forward and give their photography skills a boost. People who are good at branding they are welcomed as well where they can fully utilise their Social Media Marketing skills.

4. Development of Overall Personality

Participating in co-curricular activities can be extremely beneficial for your personal and professional development. Our club can help you learn about the business side of engineering and develop skills such as project management, leadership, and communication. We often organize events such as pitch competitions, guest speakers, and mentorship programs.

We conduct events wherein students learn how to develop Interpersonal Skills, they can participate in group activities, attend workshops and seminars on communication and collaboration, practice active listening, and seek feedback from peers and instructors. Building strong interpersonal skills takes time and effort, but it is a valuable investment for future success.

5. Last but not the least, it is a platform where you can create amazing memories!

RCevent

"Education is not just about academics. It's about building character, improving one's personality, and becoming a better human being."

- Sudha Murty

Joining RCTCET can create can create amazing memories for students. It is a complete new experience where you can participate in different kinds of fun events. Opportunities to travel together, whether it's a weekend camping trip or a day trip to a nearby city the experience is wonderful. Volunteering for a social cause develops a sense of responsibility in young individuals. Competing with your peers gives you confidence to do better than before. Sharing same interests with someone new helps you create memorable experiences. College days are something a student cherishes for life and it is grateful to have a platform as such.

To know more about us:

Visit our Official Website And do follow us @rc_tcet

Conclusion

Remember, co-curricular activities are meant to complement your academic studies. Make sure to balance your time and commitments so that you can excel both academically and personally. Don't be afraid to step out of your comfort zone and try something new. Joining a club as Rotaract Club of TCET can be a rewarding and fun experience that creates memories that last a lifetime. Moreover, social clubs can help promote social cohesion and strengthen community ties. They can offer a sense of belonging and provide a platform for individuals to come together and work towards common goals. In short, Rotaract Club of TCET can be a fun and enriching way to connect with others and build community. By joining this club, individuals can expand their horizons, create new friendships, and contribute to a more vibrant and inclusive society.