Artificial Intelligence (AI) is rapidly transforming the world we live in, and education is no exception. The School of Artificial Intelligence at Amrita Vishwa Vidyapeetham is a leading academic institution that is at the forefront of transforming education and research using artificial intelligence. With rapid advancements in AI, this interdisciplinary field has emerged as a key driver of innovation, transforming industries across the world. The School of Artificial Intelligence recognizes the immense potential of AI and is committed to providing world-class education, research, and innovation that will shape the future of this field.
The mission of the School of Artificial Intelligence is to train the next generation of AI leaders who will be equipped with the knowledge and skills to tackle complex problems in various fields such as healthcare, agriculture, environment, energy, etc., The school aims to achieve this mission by providing a world-class education in AI, focusing on hands-on learning, interdisciplinary collaboration, and real-world applications.
The vision and mission of the School of Artificial Intelligence align with the overall theme of Amrita Vishwa Vidyapeetham, which is to provide education that is rooted in values and aimed at holistic development. Amrita Vishwa Vidyapeetham believes that education should go beyond academics and focus on the individual’s overall development.
Highlights:
Amrita Vishwa Vidyapeetham has not appointed any Agent or Third-Party Client for securing admission in any programme. Students are hereby requested to contact only the toll-free number on our website for any admission related queries.
– Issued In Public Interest By Directorate Of Admissions And Academic Outreach
B. Tech / M. Tech in any Engineering Discipline.
AI for Biomedical Signal and Image Processing
Rehabilitation and Medical Robotics
AI for Power, Energy and Electrification
AI for Material Design and discovery
AI for Material Informatics
NLP for material design
Interpretable and Explainable ML models
AI in Autonomous Diagnosis and Biomolecular Prediction
Audio and Image Processing
Sensor based Threats in Smart Devices
Intrusion Detection and Authentication
Integration of AI with photonics
| Title of the Project | Funding Agency |
| Screening, Diagnosing and Staging of Retinopathy of Prematurity in Preterm and Low Birth Weight Infants Using AI. | Indian Council for Medical Research (ICMR) |
| Data-Driven solution to Recognize and Classify Impairments Occurring in Human Speech Due to Pathological and Emotional State: A Complex System Perspective. | Amrita Vishwa Vidyapeetham (Internal Seed Grant) |
| A Multimodal Approach for Detecting the Technology-Facilitated Violence from Social Media Data in Dravidian Languages. | Amrita Vishwa Vidyapeetham (Internal Seed Grant) |
| In silico design and prediction of blood brain barrier penetrative peptide to treat CNS-associated disease. | Amrita Vishwa Vidyapeetham (Internal Seed Grant) |
Amrita Vishwa Vidyapeetham, Coimbatore.
High Performance Computing Platform:
Number of Nodes: 5
Master Node (1) Configuration: DELL PowerEdge R740 Server with Dual Intel Xeon Gold 5120 2.2G 14 Core Processors; 128GB RAM, 1 x NVIDIA Tesla V100 GPU.
Compute Nodes (4) Configuration: DELL PowerEdge R740 with Dual Intel Xeon Gold 5120 2.2G 14 Core Processors; 256GB RAM, 1 x NVIDIA Tesla V100 GPU.
Interconnect: Mellanox – InfiniBand; 12 56 Gbps ports.
Campus Connect: Ethernet 10 Gbps.
Storage: DELL Power Vault MD3400, 29TB.
| Name of the Research Lab | Equipment Details | |
| AI-Featured Robotics Lab | 2-Wheeled Differential Drive Open Ended Autonomous Mobile Robot | Features: Extremely silent BLDC motors – Velocity – 1.3 m /s (max) – 10 m (diameter) range LiDAR – Jetson Xavier NX 8GB – Intel realsense depth camera – 10 m range (max) – Emergency switch and indicators – 24V 20AH Lithium-Ion battery – CROBOT BLDC developer board with I2C – 3Nos, Rx-Tx – 1No, Extended GPIO – 10Nos |
| 152 mm Mecanum Wheel Robot Chassis | Features: Adjustable Base with High torque DC motors, Mecanum Wheels | |
| Edge Computing Devices | RaspberryPi-4 with 8GB RAM | |
| Jetson Nano Developer Kit | ||
| Power Modules | LiPo Battery Pack (14.8V) | |
| Voltage Regulators (5V, 12V) | ||
| Sensors | Camera for RaspberryPi | |
| Magnetic Encoder | ||
| Storage Units | Internal SSD 2TB size | |
| Micro SD Cards 256GB Size | ||
| Motor Drivers | Dual Channel DC motor drivers | |
Dr. V. Sowmya, Assistant Professor (Selection Grade),
Amrita School of Artificial Intelligence, Coimbatore,
v_sowmya@cb.amrita.edu