7th International Conference on Big Data, Machine Learning and IoT (BMLI 2026) at Toronto, Canada

Toronto, Canada, Toronto, ON, Canada

Sat, 26 September 2026 - Sun, 27 September 2026

TBC

£390.00

7^th International Conference on
Big Data, Machine Learning and IoT (BMLI 2026)

September 26 ~ 27, 2026, Toronto, Canada

https://nlaim2026.org/bmli/index

Scope

7^th International Conference on Big Data,
Machine Learning and IoT (BMLI 2026) serves
as a premier global forum for presenting innovative ideas, cutting edge
research, advanced methodologies and real world applications across the rapidly
evolving domains of Big Data, Machine Learning and the Internet of Things. As
data driven intelligence continues to transform industries, scientific
discovery and society at large, BMLI 2026 brings together researchers,
practitioners and thought leaders to exchange insights, foster collaboration
and shape the next generation of intelligent systems.

The
conference welcomes high quality contributions that demonstrate significant
advances, including theoretical developments, experimental results, system
designs, industrial case studies and comprehensive.

Topics of interest include, but are
not limited to, the following

·
Distributed and
cloud native data systems

·
Streaming, real
time analytics and event processing

·
AI native
databases, vector search and semantic retrieval

·
Foundation models,
multimodal AI and self supervised learning

·
Transformers,
MoE models and efficient inference

·
Generative AI,
diffusion models and synthetic data

·
RAG systems, LLM
augmentation and knowledge integration

·
LLM agents,
autonomous AI and tool use models

·
Graph ML, GNNs
and large scale graph systems

·
Federated,
distributed and privacy preserving ML

·
Causal ML,
counterfactual reasoning and robust inference

·
Continual,
lifelong and meta learning

·
Neural
architecture search and automated ML

·
Multi agent
reinforcement learning and cooperative AI

·
AI safety,
alignment and adversarial robustness

·
Large scale
training, parallel ML and AI compilers

·
ML for code,
program synthesis and automated reasoning

·
Knowledge
graphs, semantic systems and reasoning

·
Multimodal
analytics: text, vision, audio, sensor data

·
Neural fields
(NeRFs, Gaussian Splatting) and 3D reconstruction

·
Embodied AI,
robotic foundation models and simulation

·
Next gen IoT:
5G/6G, LPWAN, satellite IoT and NTN

·
Ultra low power
IoT, neuromorphic edge and energy harvesting

·
Wireless and RF
sensing, CSI based perception

·
IoT
localization, tracking and cooperative perception

·
Digital twins,
cyber physical systems and industrial IoT

·
LLMs at the edge
(TinyLLMs, EdgeLLMs)

·
LLM powered IoT
orchestration and autonomous device control

·
RAG for sensor
data, time series and IoT streams

·
AI for
cybersecurity, threat intelligence and LLM red teaming

·
Quantum ML,
SciML and AI for scientific discovery

·
AI for climate,
sustainability and environmental systems

·
Spatial
computing, AR/VR/XR and neural rendering

·
Responsible AI:
fairness, ethics and governance

Paper Submission

Authors
are invited to submit papers through the conference Submission
System by July 25, 2026.
Submissions must be original and should not have been published previously or
be under consideration for publication while being evaluated for this
conference. The proceedings of the conference will be published by Computer
Science Conference Proceedings
in Computer Science & Information
Technology (CS & IT)
series (Confirmed).