Department of Artificial Intelligence and Machine Learning (AIML )(AN)
Where Machines are Smarter
To be the renowned department for education in Artificial Intelligence and Machine Learning in Maharashtra state moulding students into professional engineers.
- To impart knowledge in cutting-edge Artificial Intelligence technologies on par with industrial standards.
- To collaborate with industry to uplift innovative research and development in Artificial Intelligence and Machine Learning and its allied fields to serve the needs of society.
- To produce successful Computer Science and Engineering graduates with a specialization in AI/ML with personal and professional responsibilities and commitment to lifelong learning.
About AI and Machine Learning Diploma Programme
- AI is a branch of Science and assists machines to find solutions to complex problems in a more human-like fashion.
- Artificial Intelligence is the future of Next-Generation Technology.
- It encompasses a variety of disciplines like Medical, Finance, and Engineering.
Artificial intelligence (AI) broadly refers to any human-like behaviour displayed by a machine or system. In AI’s most basic form, computers are programmed to “mimic” human behaviour using extensive data from past examples of similar behaviour. This can range from recognizing differences between a cat and a bird to performing complex activities in a manufacturing facility. Whether you are talking about deep learning, strategic thinking, or another species of AI, the foundation of its use is in situations that require lightning-fast responses. With AI, machines can work efficiently and analyze vast amounts of data in the blink of an eye. Artificial intelligence can be a very powerful tool for both large corporations generating significant data and small organizations that need to process their calls with customers more effectively. AI can streamline business processes, complete tasks faster, eliminate human error, and much more.
A brief history of artificial intelligence
Before 1949, computers could execute commands, but they could not remember what they did as they were not able to store these commands. In 1950, Alan Turing discussed how to build intelligent machines and test this intelligence in his paper “Computing Machinery and Intelligence.” Five years later, the first AI program was presented at the Dartmouth Summer Research Project on Artificial Intelligence (DSPRAI). This event catalyzed AI research for the next few decades.
Computers became faster, cheaper, and more accessible between 1957 and 1974. Machine learning algorithms improved and, in 1970, one of the hosts of DSPRAI told Life Magazine that there would be a machine with the general intelligence of an average human being in three to eight years. Despite their success, computers’ inability to efficiently store or quickly process information created obstacles in the pursuit of artificial intelligence for the next ten years.
AI was revived in the 1980’s with the expansion of the algorithmic toolkit and more dedicated funds. John Hopefield and David Rumelhart introduced “deep learning” techniques that allowed computers to learn through experience. Edward Feigenbaum introduced “expert systems” that mimicked human decision-making. Despite a lack of government funding and public hype, AI thrived and many landmark goals were achieved in the next two decades. In 1997, reigning chess World Champion and Grandmaster Gary Kasparov was defeated by IBM’s Deep Blue, a chess-playing computer program. The same year, speech recognition software developed by Dragon Systems was implemented on Windows. Cynthia Breazeal also developed Kismet, a robot that could recognize and display emotions.
In 2016, Google’s AlphaGo program beat Go master Lee Se-dol and in 2017, Libratus, a poker-playing supercomputer beat the best human players.
The arrangement, Maint-Aid fixture for Tractor, Weed Remover, Regenerative Braking System, Water Injection for diesel engine, fuel cell car prototype, Petrol injection for motorcycle etc. These projects have won many state-level prizes and are appreciated nationally and internationally too
First Year Intake : 60 Seats
Direct Second Year Intake : Please Contact Admission Cell for Latest Information(Click Here)
15+ Years Experienced Teaching Faculty
Specialised in Data Science.
Prof. Ashwinkumar Vharamble
Head of Department
Specialised in Machine Algorithm.
Prof. Prajacta Patil
Sl. Grade Lecturer
Specialised in Big Data.
Prof. Vikram Gavali
Sr. Lecturer
Name: Prof. V. Gavali
Designation: Sr. Lecturer
Education: B.E.(E&TC)
- Best Innovations.
- Oldest Department in Maharashtra.
- #1 AIML Engineering Lab in Maharashtra.
- MOU with various AI organisations.
- #1 AIML Department in Maharashtra.
- Excellent Grade by "MSBTE", Government of Maharashtra.
Department of AI has done MOU with various organisation in Maharashtra state for betterment of Students and Institute.
- MOU done with Aastha Solution kolhapur for development of Institute Management System (IMS) for diploma engineering colleges.
- MOU done with SIBIC to encourge startup business.
Professional Scope of the AIML Programme.
- AI covers many areas like medical diagnosis, stock trading, robot control, and scientific discovery.
- If you have a B.E / M. Tech degree in AI and ML, you have job opportunities in ISRO.
- You also have the option to go to various top-level microchip manufacturer companies like Intel.
- Indian Institute of Biology offers research in AI and robotics
- Some AI job includes machine learning engineer, data scientist, business intelligence developer, research Scientist, and AI engineer.
- Intel offers jobs for AI and Robotics specialists.
- NASA is the best place to get a job in AI in space science.
- US tech companies are prepared to spend over $1 billion by 2020 in the process of poaching AI talent from wherever they can get it.
- UK’s demand for AI skills has been growing much faster than that in the US, Canada and Australia.
