Hire AI/ML Developer

With Artificial Intelligence and Machine Learning, you can develop advanced and intelligent applications. You can also create hybrid applications using AI/ML. It is a straightforward solution to design interactive user interfaces that can attract substantial user engagement. AI/ML are among the most favored technologies in the world of technology. At Crest, we have highly skilled and experienced AI/ML Developers.

Artificial Intelligence and Machine Learning are the most popular open-source technologies for building web and mobile applications. Machine Learning is the technology most commonly used for mobile app development. Crest Infotech is a leading Artificial Intelligence and Machine Learning development company. You can hire AI/ML Developers with extensive experience in AI/ML development.

The history of Artificial Intelligence (AI) and Machine Learning (ML) is a rich and fascinating journey, marked by significant milestones, breakthroughs, and the continuous evolution of these fields.

1950s-1960s: The Birth of AI

• The term “Artificial Intelligence” is coined by John McCarthy in 1956.
• Early AI researchers like Alan Turing and Marvin Minsky lay the theoretical foundations for AI.
• The Logic Theorist, developed by Newell and Simon in 1955, is one of the earliest AI programs, proving mathematical theorems.

1960s-1970s: Early AI Applications

• AI research focuses on symbolic AI, using logic and rules for problem-solving.
• DART (Dartmouth Artificial Intelligence Conference) in 1956 marks the birth of AI as a field.
• The General Problem Solver (GPS), developed by Newell and Simon, is a notable AI program.
• The LISP programming language, designed by John McCarthy, becomes the preferred language for AI research.

1980s-1990s: The AI Winter

• Early optimism in AI fades, leading to two “AI Winters” due to unrealistic expectations and underwhelming results.
• Expert systems gain popularity, and rule-based AI becomes a prevalent approach.
• Neural networks see some development but lack the computing power for significant progress.

Late 1990s: ML Resurgence

• Machine Learning starts to gain traction as computational power increases.
• Reinforcement Learning and Support Vector Machines (SVM) emerge as ML techniques.
• IBM’s Deep Blue defeats Garry Kasparov, marking a significant AI achievement in chess.

Early 2000s: Rise of Data-Driven AI

• Machine Learning, especially supervised learning, gains momentum due to abundant data.
• Online companies like Google, Amazon, and Facebook invest in AI and ML for data analysis.

2010s: Deep Learning Revolution

• Deep Learning, a subfield of ML, becomes a game-changer with the advent of powerful GPUs.
• Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) excel in image and natural language processing tasks.
• IBM’s Watson wins Jeopardy! in 2011, demonstrating AI’s advancements in natural language understanding.
• AlphaGo defeats world champion Lee Sedol in Go, showcasing AI’s mastery of complex board games.

2010s-Present: AI in Everyday Life

• AI and ML permeate daily life through virtual assistants, recommendation systems, and self-driving cars.
• Ethical concerns around AI, such as bias and privacy, become prominent.
• Research in Explainable AI (XAI) and ethical AI gains momentum.

Looking to Hire AI/ML Developers for Your Project? At Crest Infotech, we have a team of Dedicated AI/ML Developers who provide AI/ML Development Services to meet your project requirements.