CogBID is the world's first multidisciplinary research Lab, that aims to bring together the emerging areas of Cognitive Computation and Big Data Analytics.
Synonymous with its founding vision, the Lab is home to two internationally-leading, peer-reviewed journals, launched by Professor Hussain, as founding Editor-in-Chief, in 2009 and 2016 respectively:
- Cognitive Computation (published by Springer Nature, http://springer.com/12559 - latest ISI Impact factor: 4.29)
- BMC Big Data Analytics journal (published by BioMed Central (BMC) - part of Springer Nature:http://bdataanalytics.com).
CogBID Lab aims to address the growing needs of industry, commerce, robotics, medical healthcare and a range of real-world application areas, that call for the creation of next-generation cognitive machines and systems, possessing truly brain-like, 'multi-modal' Big Data analytics capabilities. This ambitious aim is being realized through the Lab's complementary vision of developing a deeper and more comprehensive understanding of the brain's cognitive Big Data analytic capabilities, such as:
- Action and Attention Learning
- Language Processing
- Problem Solving
- Synthetic Self Awareness
- Reinforcement Learning
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Cognition, what does it mean?
Means many things to many people, e.g. the mental action or process of acquiring knowledge and understanding through thought, experience, and the senses. .Informatics: Multi-disciplinary study of the structure, behaviour, and interactions of natural and engineered computational systems.
Encompasses: AI, Cognitive Science and Computer Science, cf. Springer's Cognitive Computation journal (launched by CogBID in 2009, with current ISI SCI Impact factor: 3.44), which moves beyond traditional Machine Learning. Aims to exploit human cognitive capabilities to engineer next-generation systems and machines, that can think and act cognitively, contextually and ethically, in response to the environment.
Big Data is the name given to stored data that is too large or complex
for human consumption. The Science of Big Data uses algorithms to 'mine' datasets
in order to extract useable knowledge. There is more stored data in the world than ever before
and, increasingly, organisations are utilising Big Data techniques. Consequently, there is a
greater need than ever for advancements in Data Science.
No consensus at present, on what constitutes 'Big Data’. It is a relative term given to data that is too large or complex for human consumption. Compared to traditional analytics, Big Data analytics presents two competitive advantages. It describes efficient use of scalable algorithms applied to large or complex heterogeneous datasets, without compromising the algorithm’s (i) sophistication and (ii) performance. Most conventional machine learning algorithms cannot easily scale up to big data, and hence effectively cope with associated challenges of high-dimensionality, velocity and variety.
Why Cognitive Big data?
- Cognitive Computing is a US$2 trillion dollar (global) market - IBM CEO (2016)
- Big Data market will be worth $61billion, by 2020 - Wikibon
Analytics and informatics are expected to play an increasingly central role in making sense of Big Data and exploiting it' s practical value. Humans possess powerful cognitive capabilities like generalized learning, pattern recognition and classification in real world, noisy and imprecise environments. The brain' s neo-cortex, for instance, has been described as the world' s most advanced, associative and predictive Big Data engine. CogBID is the world's first multidisciplinary research Lab, that aims to bring together Cognitive Computation and Big Data analytics.
Targets of Our Research
In pursuit of our vision to develop cognitive Big Data-driven machines, CogBID Lab
advocates a flexible and open-ended definition of Big Data, one that is able to adapt and scale
with time, to meet the expectations of its multidisciplinary audience. The Lab's vision will be
realized by conducting world-class, collaborative research to deliver the following:
Cognitive algorithms, architectures, theories and computational approaches. These includes online, incremental and domain-independent learning, brain-inspired, multi-modal deep learning, optimisation, visualization and informatics.
Interested in Collaborating with Us?
CogBID is an international research lab responsible for producing world leading research into cognitive big data. If you have a project in mind and you would like the collaboration of the CogBID lab then please get in touch.