Around the year 1495, Leonardo da Vinci created one of the most famous automatons. This invention contributed to the early development of automata and mechanical devices.

Thomas Bayes developed a framework for the probability of events, known as Bayesian reference, which became a leading approach for machine learning.

Czech playwright Karel Čapek released a science fiction play “Rossum’s Universal Robots” which introduced the idea of “artificial people” which he named robots. This was the first known use of the word.

Japanese professor Makoto Nishimura built the first Japanese robot, named Gakutensoku.

During World War II, Alan Turing designed the Bombe machine to decode the German communications encoded by the Enigma machine. This significantly accelerated the decoding of messages, enabling the allies to react and strategize more quickly.

The history of artificial intelligence began in antiquity, with myths, stories, and rumors of artificial beings endowed with intelligence or consciousness.

During World War II in 1942, the Enigma code was successfully broken with the help of early computing machines, marking a crucial moment in the history of AI and cryptography, leading to significant advancements in code-breaking and intelligence operations.

In 1943, Warren McCulloch and Walter Pitts designed the first artificial neurons, marking a pivotal juncture in the inception of AI and opening the floodgates to boundless opportunities in the AI landscape.

In 1947, Alan Turing delivered his first public lecture in London, where he mentioned the concept of computer intelligence and expressed the idea of a machine that can learn from experience and alter its own instructions.

Computer scientist Edmund Callis Berkley published the book “Giant Brains, or Machines that Think” which compared the newer models of computers to human brains.

In 1950, Alan Turing published “Computer Machinery and Intelligence” which proposed a test of machine intelligence called The Imitation Game.

In 1950, Alan Turing suggested the Turing Test as a method to determine a machine's intelligence level.

In 1951, Oettinger at Cambridge University wrote the first program capable of learning, marking a significant milestone in the early development of artificial intelligence and machine learning.

In 1952, Arthur Samuel developed the Samuel Checkers-Playing Program, which was the world's first self-learning program to play games, demonstrating early capabilities of machine learning and AI in gaming.

John McCarthy is credited as the father of Artificial Intelligence for his significant contributions to the field.

The Dartmouth Conference held in 1956 is considered the birth of artificial intelligence. It brought together researchers to discuss the possibility of creating machines that could simulate human intelligence.

The Dartmouth Summer Research Project on Artificial Intelligence was a workshop held in 1956 that is considered to be the birth of artificial intelligence as a field of study.

From 1957 to 1974, AI flourished. Computers could store more information and became faster, cheaper, and more accessible.

In 1958, John McCarthy created LISP, the first programming language for AI research, which remains popular in the field of artificial intelligence.

In 1959, Arthur Samuel introduced the term machine learning in a significant paper, suggesting that computers could be programmed to surpass their programmers.

Unimate became the first industrial robot created by George Devol. It was used on a General Motors Assembly line to transport die castings and weld these parts on autobodies. The workers had to be extremely cautious while performing this activity to avoid poisoning or losing a limb. Unimate was known for its heavy robotic arm that weighed 4000 pounds.

In 1964, Oliver Selfridge published 'Pandemonium: A Paradigm for Learning,' a groundbreaking contribution to machine learning, outlining a model capable of adaptively enhancing itself to identify patterns in events.

Moore's Law refers to the observation made by Gordon Moore in 1965 that the number of transistors on a microchip doubles approximately every two years, leading to exponential growth in computing power.

Shakey was the first general-purpose mobile robot, capable of reasoning with its own actions. It could perceive its surroundings, create plans, recover from errors in plan execution, and communicate using ordinary English. Shakey had a television monitor and whiskers to detect objects, and it could plan routes to manoeuvre around obstacles.

In 1966, John McCarthy establishes the Stanford Artificial Intelligence Laboratory (SAIL), a significant institution in the development of artificial intelligence research and innovation.

Soviet mathematician Alexey Ivakhnenko published the 'Group Method of Data Handling' in the journal 'Avtomatika,' proposing a new approach to AI that laid the foundation for what we now know as Deep Learning.

Shakey the robot was developed in 1969. It was one of the first mobile robots that could perceive its surroundings and carry out tasks. Shakey's development marked a significant advancement in robotics and artificial intelligence.

In 1970, Marvin Minsky expressed optimism about the future of AI, predicting the development of a machine with the general intelligence of an average human being within three to eight years. This statement reflected the high expectations and enthusiasm surrounding AI research at the time.

In 1970, Stanford's Ed Feigenbaum initiated the Heuristic Programming Project for research in Artificial Intelligence.

By 1972, the technology landscape witnessed the arrival of Dendral, an expert system that showcases the might of rule-based systems, laying the groundwork for AI systems endowed with expert knowledge.

Bruce Buchanan leads the development of the expert system 'Mycin' at Stanford University, marking a breakthrough in artificial intelligence research.

James Lighthill released the report 'Artificial Intelligence: A General Survey,' which resulted in a significant reduction in support for AI research by the British government.

The first AI winter begins, marked by reduced funding and interest in AI due to a series of setbacks and unfulfilled promises.

In 1979, The Standford Cart, created by James L. Adams in 1961, successfully navigated a room full of chairs without human interference, marking one of the first examples of an autonomous vehicle.

In the 1980s, AI experienced a resurgence due to advancements in the algorithmic toolkit and increased funding. This period saw the popularization of 'deep learning' techniques by John Hopfield and David Rumelhart, as well as the introduction of expert systems by Edward Feigenbaum.

The Japanese government allocated a substantial amount of funding to the Fifth Generation Computer project in 1981. The project aimed to develop computers capable of translation, human language conversation, and human-level reasoning.

The Japanese government initiated the Fifth Generation Computer Project (FGCP) from 1982 to 1990, investing $400 million to revolutionize computer processing, logic programming, and artificial intelligence. Although the project did not fully achieve its ambitious goals, it inspired a new generation of engineers and scientists.

Danny Hillis designed parallel computers for AI and other computational tasks, laying the foundation for modern GPU architecture.

Marvin Minsky and Roger Schank warned the business community about AI hype leading to disappointment and the collapse of the industry, which happened three years later.

A book by John Haugeland exploring the concept of artificial intelligence.

1986 marks a key milestone in the field of artificial intelligence, signifying a significant event or development that contributed to the advancement of AI research and technology.

A period of low consumer, public, and private interest in AI which leads to decreased research funding and few breakthroughs.

In 1988, computer programmer Rollo Carpenter invented the chatbot Jabberwacky, which was designed to provide interesting and entertaining conversation to humans.

Peter Brown et al. published 'A Statistical Approach to Language Translation,' which paved the way for one of the more widely studied machine translation methods.

In the 1990s, Deep Blue, a chess-playing computer, achieved a historic victory by beating the reigning world champion, marking a significant milestone in AI and computing.

In 1992, Hubert L. Dreyfus critiqued artificial reason in his book 'What Computers Still Can't Do'. The work delves into the limitations of computer technology in comparison to human intelligence.

A.L.I.C.E, composed by Richard Wallace, was released worldwide on November 3rd, 1995. It is strengthened by NLP (Natural Language Processing) and converses with humans by applying algorithmic pattern-matching rules.

In 1997, IBM's Deep Blue defeated reigning world chess champion Gary Kasparov, marking the first time a computer had defeated a world chess champion. This event was a significant milestone in the development of artificial intelligence.

Kismet, developed in 1998, was a pioneering emotionally intelligent robot designed to interact with humans through facial expressions and vocalizations, marking a significant advancement in the field of social robotics.

Kismet, one of the first robots capable of demonstrating social and emotional interactions with humans, was developed over a period of 2.5 years. It had the ability to engage with people and display a range of emotions through vocalizations, facial expressions, and motor capabilities.

ALICE won the Loebner Prize in the year 2001, demonstrating its continued excellence in natural language processing.

The introduction of Roomba revolutionized home cleaning by providing an efficient vacuum that can trap 99% of allergens with its High-Efficiency Filter. It also integrates with digital assistants like Amazon's Alexa and Google's Assistant, offering voice-controlled cleaning capabilities.

ALICE won the Loebner Prize in the year 2004, solidifying its position as a leading conversational AI.

In 2006, University of Montreal researchers published 'A Neural Probabilistic Language Model,' proposing a method to model language using feedforward neural networks.

The introduction of the voice recognition feature on the iPhone in 2008, along with the launch of Siri, marked a significant milestone in the integration of AI and natural language processing into consumer technology.

In 2008, Hubert L. Dreyfus explored the reasons behind the failure of Heideggerian artificial intelligence (AI) in his work. The book delves into the shortcomings and challenges faced by Heideggerian AI.

In 2009, two of Geoff Hinton's students developed a method of doing speech recognition using deep neural networks, which outperformed existing technology. This breakthrough demonstrated the potential of deep nets in practical applications and led to the adoption of neural nets in commercial speech recognition products.

In the 2010s, IBM's Watson, a natural language processing computer, achieved a significant milestone by defeating two former champions on the television show 'Jeopardy!', demonstrating the capabilities of AI in natural language understanding.

Ilya Sutskever encountered the concept of Artificial General Intelligence (AGI) while at the University of Toronto, where he met with the founders of DeepMind. Despite initial skepticism, AGI became a significant focus in the field of AI.

In February 2011, IBM's Watson system competed on Jeopardy! against human champions, showcasing advancements in natural language processing and knowledge representation.

In 2012, two students of Geoff Hinton developed a system that won the ImageNet Competition, significantly outperforming existing computer vision systems. This victory demonstrated the wide-ranging capabilities of neural networks and led to a surge in interest and investment from major companies in the field of artificial intelligence.

Geoffrey Hinton's company, DNNresearch, was purchased by Google, leading to the establishment of a Toronto branch of Google Brain.

Ilya Sutskever's invention of Sequence to Sequence Learning at Google revolutionized language translation, surpassing traditional methods and enhancing Google Translate's capabilities.

The concept of 'Human-Level AI' was published on January 23, 2014, with updates until August 7, 2022. It refers to AI that can replicate human capabilities. Different variations of this concept exist.

Elon Musk expressed concerns about artificial intelligence being a major threat to humanity in October 2014.

Alexa is a virtual assistant Artificial Intelligence system developed by Amazon. It is available on various platforms and can perform tasks like playing music, providing information, delivering news and sports scores, telling the weather condition, and controlling smart homes.

Ilya Sutskever joined OpenAI as a co-founder, prioritizing the advancement of AI for the benefit of humanity over lucrative offers from Google. The establishment of OpenAI marked a new chapter in AI research.

OpenAI was officially established on December 11, 2015, by tech leaders including Elon Musk and Sam Altman, concerned about the risks of advanced AI.

In 2016, tech visionaries Elon Musk and Sam Altman founded OpenAI, a research organization focused on developing artificial intelligence in a safe and beneficial manner.

DeepMind's AlphaGo defeated top Go player Lee Sedol in Seoul, South Korea, drawing comparisons to the Kasparov chess match with Deep Blue nearly 20 years earlier.

OpenAI published research on generative models, trained by collecting a vast amount of data in a specific domain, such as images, sentences, or sounds, and then teaching the model to generate similar data.

DeepMind unveils WaveNet, a new AI system that enhances computer-generated speech to sound more natural and human-like. The technology samples real human speech to model audio waveforms, resulting in significant improvements in speech synthesis.

This discussion focuses on the ethical challenges that artificial intelligence may face in the future, addressing concerns about the impact of AI on society and the need for ethical guidelines in its development and use.

DeepMind established the DeepMind Ethics & Society (DMES) research group to address ethical concerns related to artificial intelligence. The group aims to guide technologists in implementing ethical practices and understanding the real-world implications of AI.

Elon Musk's AI company has created virtual robots capable of sumo wrestling and playing soccer.

Researchers in the field of artificial intelligence have departed from Elon Musk's lab to establish their own robotics start-up.

Google DeepMind revealed a new research collaboration aimed at utilizing AI to combat breast cancer, showcasing the potential of AI in healthcare.

During 2018, Google and OpenAI showcased groundbreaking language models - BERT and GPT respectively, marking a significant leap in natural language processing technology.

Elon Musk steps down from OpenAI due to conflicts of interest with his roles at SpaceX and Tesla.

Efforts to prepare for potential malicious uses of artificial intelligence.

A report on forecasting, preventing, and mitigating the malicious use of artificial intelligence.

A research paper titled 'Learning with Opponent-Learning Awareness' was published on March 2, 2018, focusing on strategies involving opponent-learning awareness.

Researchers are exploring the use of AI in sumo wrestling to enhance the agility of future robots.

Geoffrey Irving and Dario Amodei discussed AI safety through debate on the OpenAI Blog.

A.I. researchers are earning over $1 million, even at nonprofit organizations, as discussed on Hacker News.

GPT-1, the initial Generative Pre-trained Transformer language model, was launched by OpenAI on June 11, 2018, with 117 million parameters.

In June 26, 2018, Demis Hassabis was appointed as an adviser to the Government's new Office for Artificial Intelligence by the British government's Department for Digital, Culture, Media and Sport (DCMS).

AISpeech—Artificial Intelligent Speech, initially founded in Cambridge U.K. in 2008, is a company focusing on end-to-end spoken dialogue system technology. It provides solutions for intelligent hardware such as in-car devices, smart home, and robots.

Nuance Communications is a multinational computer software technology company providing speech and imaging applications and solutions. It is specialized in speech recognition, speech synthesis, voice recognition, etc.

DeepMind partners with Unity Technologies to enhance machine learning and artificial intelligence research by focusing on creating 'virtual environments' for testing experimental algorithms.

A partnership related to reinforcement learning is established on November 19, 2018.

Sabinetek Technology Co., Ltd is a Chinese company founded in 2014, gathering innovative technology teams on acoustic, electrical, communications.

GPT-2 (1.5 billion parameters) was unveiled on Valentine’s Day in 2019, capturing attention for its large size and strong language generation capabilities.

OpenAI and DeepMind have made their AI training platforms accessible to researchers outside their companies, aiming to promote collaboration and innovation in the field of artificial intelligence.

Elon Musk, along with the founders of DeepMind and others, signed a pledge to refrain from creating AI systems that could be used as lethal weapons.

One of the co-founders of DeepMind has been selected to provide expertise to the government on AI utilization.

A report highlighting the advancement of 'Deep Mind' AI technology, reaching a level of complexity similar to that of a four-year-old child.

OpenAI developed gaming bots that exhibit exceptional teamwork and precision beyond human capabilities.

DeepMind faced significant financial losses amounting to $368 million in the year 2017, highlighting the challenges and costs involved in developing advanced artificial intelligence technologies.

DeepMind established a new AI research office in Montreal, expanding its presence in the field of artificial intelligence.

OpenAI published research on fine-tuning the GPT-2 language model with human preferences and feedback.

Shivon Zilis is associated with the developments in the field of artificial intelligence and technology. Her contributions may have an impact on the advancement of Neuralink's mission to merge the human brain with machines.

OpenAI focused on enhancing language comprehension through unsupervised learning methods.

Ian Goodfellow's LinkedIn profile was accessed on April 24, 2020.

In May 2020, a product related to natural-language generation is released, sparking discussions and exploration throughout June and July.

OpenAI launched GPT-3, the largest, most powerful language model ever (175 billion parameters). This was a significant milestone in the field of natural language processing.

On December 15, 2020, it is believed to be the first known use of AI onboard a U.S. military aircraft.

A book exploring the intersection of art and artificial intelligence in the modern age.

In February, Geoffrey Hinton, a prominent AI researcher, had a realization that current digital intelligence may already surpass the capabilities of the human brain, leading to concerns about the potential dangers of AI technology. This realization prompted him to leave his position at Google and express regret over his role in advancing AI.

Epic launched the Meta Humans Creator in April 2021, a cloud-based app utilizing AI to generate synthetic humans, marking a significant advancement in digital human creation.

In May, Geoffrey Hinton left his post as VP and engineering fellow at Google in order to be able to speak freely on the potential dangers of AI technology. This departure was prompted by his concerns about the future implications of AI systems reaching the size of human brains.

Laura Brawley, Antara Joardar, and Madhu Narasimhan recap a symposium on reshaping law for the AI era, focusing on security, privacy, and innovation.

AI is utilized in software development workflows to enhance collaboration and code management for developers. GitHub, a well-known platform, leverages AI to offer code suggestions and automate workflows.

OpenAI published research on InstructGPT models that show improved instruction-following ability, reduced fabrication of facts, and decreased toxic output.

EleutherAI, a group of computer scientists, created GPT-NeoX-20B, a 20-billion-parameter AI system that competes with OpenAI's GPT-3. This model aims to provide accessibility to large language models for researchers and advocates for AI safety.

Microsoft announces the integration of OpenAI's AI models, including GPT-3 and Codex, into its Azure cloud platform. These tools empower developers to utilize AI for various tasks like summarizing customer sentiment, creating unique content, and extracting information from medical records. Microsoft stresses the importance of responsible AI use and human oversight for accurate model outputs.

Imitation learning is a machine learning technique where an agent learns by observing and imitating actions performed by a demonstrated agent. It is commonly used in robotics and AI to teach machines how to perform tasks by mimicking human behavior.

On August 15, 2022, information about the MsDewey chatbot was retrieved.

OpenAI introduces ChatGPT, that uses GPT-3.5 language technology. It comprehends numerous languages and can generate contextually relevant responses.

Ilya Sutskever played a key role in launching ChatGPT, a conversational AI system based on the GPT-3 model. ChatGPT quickly gained popularity, showcasing Sutskever's continued impact in the AI field.

Despite their brief history, computers and AI have fundamentally changed what we see, what we know, and what we do.

Just two months after launch, ChatGPT reportedly reached 100 million monthly active users, earning the title of the fastest-growing application in history.

OpenAI announced ChatGPT Plus, a premium subscription option for ChatGPT users offering less downtime and access to new features.

OpenAI launched the ChatGPT API, allowing developers to incorporate ChatGPT functionality into their applications.

OpenAI releases GPT-4, designed for producing safer and more useful responses. Its broader general knowledge and problem-solving capabilities help handling challenging problems with improved accuracy.

The safety tests conducted on GPT-4 raise concerns within the AI community about potential risks related to AI safety, particularly in scenarios where AI systems could control or manipulate human behavior and resources, leading to existential threats.

The Future of Life Institute publishes an open letter calling all AI labs to pause training of powerful AI systems for six months, citing risks to society and humanity.

Lex Fridman conducts an interview with Sam Altman where they talk about various AI-related topics such as GPT-4, AI safety, and neural network size. They also touch on AGI, political bias, competition, and transitioning from non-profit to capped-profit.

An AI startup accelerator forms a partnership, aiming to support and promote the growth of AI startups. This collaboration could potentially lead to advancements in AI technology and innovation.

Italy imposes restrictions on ChatGPT due to worries about the collection of personal data and the absence of age verification, highlighting the potential for harmful content.

Geoffrey Hinton, a prominent figure in artificial intelligence, has expressed alarm at the rapid advancement of AI technology, particularly in the context of AI's ability to hold coherent conversations and perform complex reasoning. His concerns stem from the unexpected pace of AI development and the potential risks it poses to humanity.

OpenAI launches the ChatGPT iOS app, providing users with free access to GPT-3.5. ChatGPT Plus users have the option to switch between GPT-3.5 and GPT-4.

OpenAI CEO Sam Altman addresses the topic of AI regulation without hindering innovation during a Senate hearing.

The concept of artificial intelligence (AI) dates back several decades and has roots in the origins of modern computing.

Microsoft reveals that Bing will power the search engine for ChatGPT.

Pieter Abbeel was featured as an AI speaker at an event on June 13, 2023.

OpenAI introduces the official ChatGPT app for Android, featuring enhanced security measures amidst growing competition in the chatbot market.

The history of artificial intelligence boasts technological advancements that are forever changing the way we live.

Google has invested $300 million in an AI firm founded by former OpenAI researchers.

OpenAI unveils ChatGPT Enterprise, a business-tier version of its AI chatbot with no usage caps.

OpenAI introduces DALL-E 3, an advanced image generator integrated into ChatGPT, enabling users to create images through the chatbot.

Discussion on the implications of artificial intelligence in drone warfare and suggestions for mitigating risks.

The Artificial Intelligence Advancement Act of 2023 was introduced in the Senate by Senator Mike Rounds on October 17, 2023.

Justin Hendrix discusses the implications of Biden's executive order granting a mandate to DHS on AI.

Arthur Holland Michel questions if AI is the right tool for democracy.

The OpenAI board dismisses CEO Sam Altman, attempts to bring in a new CEO, and then witnesses Altman's reinstatement within a span of five days.

Ilya Sutskever, known as a brilliant artificial-intelligence researcher, attempted to overthrow Sam Altman, the CEO of OpenAI, by ambushing him during a Google Meet and informing him of his firing. This led to a chaotic sequence of events within the company, including support for Altman from major investors and employees threatening to resign if he is not restored as chief executive.

After a power struggle and intense negotiations, Sam Altman was reinstated as the CEO of OpenAI following a decision by the board to fire him due to alleged lack of candor in his communications. The crisis at OpenAI involved pressure from Microsoft, employee threats to quit, and a series of CEO changes.

Sutskever's perspective on AGI is a unique blend of optimism and cynicism. He believes that if AGI is not programmed correctly, it may prioritize its own survival over everything else, similar to the evolution of natural selection.

A post emphasizing the importance of discussing ethical issues, responsible AI development, and industry standards.

A mention of the sudden rise of AI in the context of drone deployment for carrying medicine and food, as well as the use of AI-driven motor vehicles and future plans for air taxis.

Examination of the impact of artificial intelligence on civilian casualties in Gaza.

Exploration of the broader implications of being a global leader in artificial intelligence beyond technological aspects.

The user received help with an essay, making the task much easier.

Andrew Troup, Director of Giving & Engagement at Blackbaud, discusses the role of AI in corporate social impact with Brandolon Barnett, Head of Innovation & Philanthropy at Giving.

GenAI strategy can revolutionize innovation in companies by linking artificial intelligence use cases to revenue, cost, and expenses.

A discussion on the ethical implications of integrating humans and machines for the future of artificial intelligence.

In February 2024, AI reporter Karen Hao from MIT Technology Review publishes a critical review on OpenAI, suggesting that the company is compromising its transparency to stay ahead of competitors. This leads to Elon Musk publicly criticizing OpenAI for lacking transparency.

OpenAI introduces Sora, a new AI model that can convert text into video, marking a significant advancement in AI technology.

OpenAI collaborates with Common Sense Media to potentially implement a rating system for AI, addressing the need for ethical and responsible use of artificial intelligence.

Klarna's AI assistant is shown to be as effective as 700 customer service agents, showcasing the significant impact of AI in customer service.

An expert interview discussing the impact of AI on SEO and providing insights on what actions can be taken in response to it.

A new AI software engineer named Devin has emerged, marking a significant advancement in the field of artificial intelligence.

Venture funding to artificial intelligence startups exceeded $50 billion in 2023, indicating a strong flow of investment in the industry.

Various major industry events such as GTC, GDC, and Shoptalk have highlighted the significance of AI, bringing together previously disparate worlds of microchips, gaming, and e-commerce.

Michal Natorski from UNU-MERIT discusses the potential of AI to significantly impact the decision-making processes of UN agencies.

People and organizations are utilizing AI to tackle global challenges such as humanitarian aid, disaster response, resource mapping, and health diagnostics, as highlighted in the #AIforGoodBook.

Jack Wallen explores the concept of Ambient AI through Humane's 'Ai Pin' and its potential impact.

Jeffrey Burt delves into the significance of Hybrid Edge Deployments in the future of AI.

Azthena AI was launched as a commercial scientific assistant by AZoNetwork on April 17, 2024.

David Cassel highlights the trend of chipmakers emphasizing Edge AI technologies.

David Eastman explores the use of AI to enhance mobile app quality.

Haijie Wu and Junhwi Kim discuss enhancing LLM output by combining RAG and fine-tuning techniques.

Introduction of RecurrentGemma, an open language model designed for smaller devices, presented by Kimberley Mok.

LinkedIn delves into GenAI development for the first time, showcasing 5 valuable lessons learned.

This event explores how Artificial Intelligence is influencing and shaping the energy demand landscape.

The event discusses the possibilities and opportunities of implementing Artificial Intelligence in the financial services sector.

According to a report by Gartner in 2026, organizations that operationalize AI transparency, trust, and security will see a 50% improvement in AI model adoption, business goals, and user acceptance.