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: 4.30)
- 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 health care 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 analytics 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: This is the multi-disciplinary study of the structure, behaviour, and interactions of natural and engineered computational systems.
This encompasses AI, Cognitive Science and Computer Science, cf. Springer Nature's Cognitive Computation journal (launched by CogBID Lab in 2009, with current ISI SCI Impact factor: 4.30: http://springer.com/12559), and envisages a future beyond traditional Machine Learning. The aims are 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. There is 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 Market will reach Reach $87.39 Bn, Globally, by 2026 (Allied Market Research, 2020)
- 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.
Our Research Vision
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 is being realized by conducting world-class, collaborative research to deliver the following:
- Cognitive algorithms, architectures, theories and computational approaches. These include online, incremental and domain-independent learning, brain-inspired, multi-modal deep learning, optimisation, visualization and informatics.
- Implementations: including neuromorphic, GPUs, smart clusters & clouds, open-source software.
- Applications: in domains as diverse as genomics, medicine, healthcare, clinical, biological and neuro-informatics, natural robotics, language processing, meteorology, geoscience, multimedia and business intelligence, social media and network analytics, trend discovery, opinion mining, smart cities, surveillance, transportation, power, energy and economic management, internet search, biological, chemical, physical, environmental, oceanic and planetary sciences, and e-Science in general.
Interested in Collaborating?
CogBID is an international research lab pioneering world-leading research into cognitive big data technologies and applications. If you have a project in mind (for UG/PG, PhD, postdoctoral or industrial R&D) and would like to collaborate with us, please get in touch!