Advances in Artificial Intelligence (AI) are always received enthusiastically with an underlying feeling of fear. From the early days of basic AI systems to machine learning, and now the latest entrant namely ‘Generative AI’, each development has been met with a mixed feeling of wonderment and worry. We want to embrace AI to its full potential, yet we are worried about what it could really mean for us and society.
Twenty years ago, IBM’s Deep Blue computer stunned the world by becoming the first machine to beat a reigning world chess champion in a six-game match. The list of advancements in the field of AI are listed below.
AlphaGo
AlphaGo is an AI program developed by DeepMind (a subsidiary of Google) that defeated the world champion Go player, Lee Sedol, in 2016. This milestone demonstrated the ability of AI to excel in complex board games, where intuition and strategic thinking are crucial.
Watson
IBM’s AI system ‘Watson’ gained prominence by winning the quiz show ‘Jeopardy’ in 2011. It demonstrated advanced natural language processing and knowledge representation capabilities.
Tesla Autopilot
Tesla Autopilot is an advanced driver-assistance system (ADAS) by Tesla that utilizes AI and machine learning algorithms to enable autonomous driving features. The technology makes use of a combination of sensors, cameras, and neural networks to interpret and respond to the environment in real time.
DeepMind’s AlphaFold
In 2020, AlphaFold made significant progress in predicting protein structures, which is a crucial task in understanding biological processes and developing new drugs.
All these advances have initiated a rather interesting conversation about machines replacing humans in the workforce. However, this fear is unfounded, as machines do not substitute for human creativity, but rather serve as a tool to augment it.
Advanced technologies such as AI can inspire innovative ideas. However, it cannot substitute for human imagination. It can assist us to write better, capture our imagination well through art and written words. The key is to focus on AI’s concrete abilities, rather than fixating on its weaknesses or fear that it may take over our lives. There are several generative AI tools that are proving to be valuable for professionals across various fields.
Here are a few examples
Text Generation: Generative Pre-trained Transformer 3 (GPT-3) and similar models can generate human-like text, which has applications in content creation, drafting emails, writing code, generating reports, and more. These tools can assist professionals in generating high-quality written content quickly. ChatGPT, Bing AI, and Google Bard are classic examples of automated text generation.
Design and Creativity: AI-powered tools like DeepArt, Runway ML, and Adobe Sensei provide creative professionals with the ability to generate unique designs, artwork, and visual effects. These tools can aid in the ideation and creation of visual content, offering new possibilities and saving time.
Music Composition: AI models like OpenAI’s MuseNet and Jukedeck can generate original compositions in various genres and styles. These tools can be helpful for musicians, composers, and content creators looking for royalty-free background music or inspiration for their projects.
Image and Video Generation: Tools like Deepfake technology and Generative Adversarial Networks (GANs) can generate realistic images, manipulate existing images, and even create deepfake videos. These tools have applications in entertainment, virtual reality, and marketing, among others.
Data Analysis and Prediction: Generative AI models can be trained to analyze and understand complex datasets, helping professionals in fields such as finance, healthcare, and marketing. These models can assist with tasks like predictive analytics, anomaly detection, and pattern recognition.
Commenting on the development, Neelesh Kriplani, Chief Technology Officer, Clover Infotech disclosed that we should approach AI with a sincere desire to explore, learn and create. He added that we will be able to experience and appreciate the contributions made by AI to make our lives easier. AI has the potential to solve real-world problems if properly implemented. AI has a vast potential to enhance the quality of our lives in scenarios such as traffic management, preventive diagnosis, prediction farming, and virtual learning. The technology also enables humanity to thrive.
Going forward, we can expect advancements in the world of AI. We can expect all sectors to leverage the full potential of AI. The time required to complete various tasks will be drastically reduced with the adoption of AI. However, there are cases where AI can deliver incorrect results. That being said, the future is bright for AI and people should take advantage as the product continues to improve.
