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B. Tech in CSE (AI&ML) offered by the Computer Science and Engineering Department provides the budding engineers with a spectacular array of courses dedicated to frontiers in the field of Artificial Intelligence and Machine Learning (AI&ML) with a foundation of Computer Science & Engg. The 4-year full-time program presents exposure to hands-on technologies to create applications and solutions for the world that we live in.

Focus

The curriculum focuses on the Foundations of Computational Mathematics, core areas of Computer Science, along with the latest advancements in Artificial Intelligence and Machine Learning. Core courses in Computer Science help students to drive them through the ever-changing IT requirements. The specialized areas of AI&ML are offered as minor specializations.The specialized areas of AI&ML are offered as minor specializations.

The list of minor specializations offered by BTech CSE (Artificial Intelligence & Machine Learning):

AI in Healthcare

Computer Vision

Internet of Things

Applied Natural Language Processing

Cyber Security

Business Management

Each of these minor specializations provides students with an opportunity to dive deeper into the intricacies of the domain. Thus, students can view a bigger picture of developments in AI&ML with an option to explore deeper into thrust areas.

Career Prospects

With a huge explosion in data and its applications, a career in the field of AI&ML can be very promising as Big Data Engineer, Business Intelligence Developer, Data Scientist, Machine Learning Engineer, Research Scientist, AI Data Analyst, AI Engineer, Robotics Scientist, etc. With a specific job description on AI&ML, students have been recruited by reputed industries like Microsoft, Amazon, Goldman Sachs, Oracle GBU, Cisco, Dell Technologies, Accenture, among others. From the IT sector to healthcare, AI&ML has proven its worth. The future roles are many with AI&ML as the foundation. The graduates of the program can pursue higher education and research at premier national or international universities with a great future in research.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

PROGRAM OUTCOMES (POs)

PROGRAM-SPECIFIC OUTCOMES (PSOs)

BTechArtificial Intelligence & Machine Learning course outline

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BTech Artificial Intelligence & Machine Learning: Admission 2023 - Manipal

At GE, Artificial Intelligence (AI) development is primarily focused on connecting minds and industrial machines to enable intelligent and user-friendly products and services that move, cure and power the world. GE Research spearheads this charter via the invention and deployment of AI solutions that can execute on industrial devices, at the edge or in the cloud.

AIresearch is practiced as a multidisciplinary exercise at GE, where insights from data-driven machine learning is fused with domain-specific knowledge drawn from areas such as materials, physics, biology and design engineering, to amplify the quality as well as causal-veracity of the predictions derivedwhat we call hybrid AI. We are creating state-of-the-art perception and reasoning capabilities for our AI technology to observe and understand contextual meaning, to improve the performance and life of our assets, industrial systems and human health. We are developing continuous learning systems that teach or learn from other assets or agents and learn from real and virtual experiences to understand and improve behavior.

Some key challenges we tackle include a lack of sufficient labels needed for traditional supervised learning approaches, the need to ingest and link multiple data modalities, and the need to build AI solutions that are interpretable due to safety-related regulatory requirements.

State-of-the-art capabilities in computer vision, machine learning, knowledge representation, reasoning and human system interactions are used to robustly monitor, assess and predict the performance and health of assetsinformation that, when coupled with uncertainty quantification and assurance, provides the information needed to multi-objectively optimize customer-specific metrics.

Examples of customer outcomes enhanced by AI products include reduced downtime on assets through AI-driven proactive intervention (for e.g., airline delays and cancellation), increased throughput (for e.g., optimal control of wind turbine settings to maximize farm output), or reduced costs (for e.g., optimal power plant operation to minimize fuel costs). GE Research is developing and integrating artificial intelligence in healthcare by working to incorporate the technologyinto every aspect of the patient journey (for e.g., improved disease diagnosis, augmenting doctors and clinicians by increasing workflow efficiencies to save precious time).In addition to asset-awareness and management, active AI research areas include Computer Vision, automation, autonomy, User Experience, Augmented Reality and Robotics.

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Artificial Intelligence | GE Research - General Electric

Today the Federal Trade Commission issued a report to Congress warning about using artificial intelligence (AI)to combat online problems and urging policymakers to exercise great caution about relying on it as a policy solution. The use of AI, particularly by big tech platforms and other companies, comes with limitations and problems of its own. The report outlines significant concerns that AI tools can be inaccurate, biased, and discriminatory by design and incentivize relying on increasingly invasive forms of commercial surveillance.

Our report emphasizes that nobody should treat AI as the solution to the spread of harmful online content, said Samuel Levine, Director of the FTCs Bureau of Consumer Protection. Combatting online harm requires a broad societal effort, not an overly optimistic belief that new technologywhich can be both helpful and dangerouswill take these problems off our hands.

In legislation enacted in 2021, Congress directed the Commission to examine ways that AI may be used to identify, remove, or take any other appropriate action necessary to address several specified online harms. The harms that are of particular concern to Congress include online fraud, impersonation scams, fake reviews and accounts, bots, media manipulation, illegal drug sales and other illegal activities, sexual exploitation, hate crimes, online harassment and cyberstalking, and misinformation campaigns aimed at influencing elections.

The report warns against using AI as a policy solution for these online problems and notes that its adoption could also introduce a range of additional harms. Indeed, the report outlines several problems related to the use of AI tools, including:

Congress instructed the Commission to recommend laws that could advance the use of AI to address online harms. The report, however, finds that, given that major tech platforms and others are already using AI tools to address online harms, lawmakers should consider focusing on developing legal frameworks that would ensure that AI tools do not cause additional harm.

The Commission voted 4-1 at an open meeting to send the report to Congress. Chair Lina M. Khanas well as Commissioners Rebecca Kelly Slaughter, and Alvaro Bedoya issued separate statements. Commissioner Christine S. Wilson issued a concurring statementand Commissioner Phillips issued a dissenting statement.

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FTC Report Warns About Using Artificial Intelligence to Combat Online ...

1. Artificial Intelligence  Our World in Data
2. The Final Freedom: The Role Of Artificial Intelligence In The Workplace  Forbes
3. Artificial intelligence and automation: Examples, benefits and more  Dataconomy
4. Will artificial intelligence spell the end of the programmer?  The Globe and Mail
5. Beware of Artificial Intelligence: It Can Cause You Very Real Trouble  JD Supra
6. View Full Coverage on Google News

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Artificial Intelligence - Our World in Data

Although 90% of todays businesses have adopted cloud, only one third are achieving the anticipated ROI. The most advanced companies understand that while cloud sets you up with next-level computing power and access to new kinds of data in the right quantity and quality, AI is the bridge to convert that data into business value. Its no surprise the entire C-suite is now involved in the AI agenda and theyre asking whats next.

Thats where Applied Intelligence comes in. We believe that cloud is the enabler, data is the driver, and AI is the differentiator. We bring them together to help you make smarter, faster decisions that help change your organization and enable growthat scale. And because we understand that people are central to the success of any technology transformation, our global team of experts bring the cross-functional skills to both deliver business outcomes and facilitate cultural change empowering your workforce to use data and AI responsibly.

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Artificial Intelligence (AI) Services & Solutions | Accenture