Call for Research Paper
AIMLSystems is a brand new conference targeting research in the intersection of AI/ML techniques and systems engineering. Through this conference we plan to bring out and highlight the natural connections with these two fields. Specifically we explore how immense strides in AI/ML techniques are made possible through computational systems research (e.g., improvements in CPU/GPU architectures, data-intensive infrastructure, communications etc.), how the use of AI/ML can help in the continuous and workload-driven design space exploration of computational systems (e.g., self-tuning databases, learning compiler optimizers, learnable network systems etc.) and, the use of AI/ML in the design of socio-economic systems such as public healthcare, and security. The goal is to bring together these diverse communities and elicit connections between them.
- Wireless Sensors
- Internet & Mobile Communication Networks
- 5G & It’s Impact On IoT
- Cost Optimization Of WSN Technology
- Integration Of Computational Elements
- Fiber Optic Sensing In IoT
- The Vast Potential Of IIoT
- Health Monitoring & Management Systems
- WoT (Web of Things)
- IoT In Water Resource Management
- IoT In Agriculture
- Challenges With Interoperability
- Wireless Communication System
- Cloud Computing
- Heterogeneous Nodal Architectures In IoT
- smart Healthcare
- IoT In Supply Chain Management
- CoAP (Constrained Application Protocol)
- Solving Complexities Of IoT Network Infrastructure
- Utilization Of RFID Technology In IoT Applications
- IoT In Monitoring & Improving Manufacturing Processes
- Application In Food Quality & Food Safety
- Application In Groundwater Resource Monitoring
- Smart Grids
- M2M (Machine-To-Machine) Wireless Sensor Systems
- WSNs (Management Of Wireless Sensor Networks)
- Shared Mode IoT Networks
- Heterogeneous Computing
- Big Data & Management Of IoT Data Repositories
- Wireless Access Control Systems
- Improving The Scalability Of IoT Infrastructure
- Web Communication Technology
- Application Of IoT in Greenhouse Monitoring Systems
- Data Partitioning For IoT Frameworks
- Smart Cities
- IoT Applications & Programs Run
- Self-Driving Car Applications
- Automated Banking Fraud Detection
- Popular AI-Complete Algorithms & Concepts
- GMDH (Group Method of Data Handling)
- Smartphone & Tab Personal Assistants
- Significance Of The Turing test In Modern-Day AI Research
- Application Of AI Tech For Mass Surveillance
- Personality Computing
- Information Retrieval
- Text Mining
- Machine Perception
- Speech Recognition
- Facial Recognition
- Object Recognition
- Computer Vision
- Moravec's Paradox
- Human-Computer Interaction
- Cybernetics
- Machine Translation
- Transformer-Based Deep Learning Architectures
- Computational Neuroscience
- Behavior-Based AI
- Nouvelle AI
- Kolmogorov Complexity
- Virtual Assistants
- Strategic Game Systems
- AI Winter & Its Impact On Research Progress
- Robotics
- Natural Language Processing
- Feedforward Neural Networks
- DeepDream Algorithm
- RBM (Restricted Boltzmann Machine)
- Neocognitron
- Artificial Neural Networks
- Deep Learning
- Bayesian Networks
- Decision Trees
- Bayesian Inference
- SVM (Support Vector Machines)
- Situated AI
- Computational Intelligence
- Statistical AI
- Multi-Agent Planning
- Evolutionary Algorithms
- Swarm Intelligence
- Unsupervised Learning
- Supervised Learning
- Computational Learning Theory
- Reinforcement Learning
- Recurrent Neural Networks
- Hebbian Learning
- Fuzzy Systems
- Grey System Theory
- Evolutionary Computation
- Symbolic Computation