Artificial intelligence (AI) - sometimes called machine intelligence, is intelligence demonstrated by machines in contrast to the Natural Intelligence displayed by humans and other animals.
In computer science AI research is defined as the study of "Intelligent Agents" - any device that perceives its environment and takes actions which maximises its chance of successfully achieving its goals.
Demotically, the term "Artificial Intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as Perception, Learning and Problem Solving
Selenine AI's holistic Investment and Research goal in Artificial Intelligence is committed towards creating technology that allows computers and machines to function in an intelligent manner guided by mutual co-existence with their co-creator or humans.
We are primarily focussed on supporting general problem of (creating) Simulation of Intelligence (SI) through :
These consist of particular traits or capabilities that our team expects to provide to support with critical solutions The following segments or problems represent our core areas of AI Investment and Research operation(s) focus:
Artificial intelligence (AI) is increasingly being adopted across the Healthcare sector and many endearing AI applications leverage the productive applications of NLP or Natural Language Processing .
We are working on elaborating several specific NLP approaches and their associated applications. By doing so, we have laid out a special case study describing how in our usage of used NLP we have accelerated some benchmark clinical guidelines.
Healthcare industry and many providers are taking this technological opportunity to beef up their big data defenses and develop critical infrastructure required to meet the critical challenges of multi-disciplinary in the sector across key healthcare concerns.Analytics have been able to support key healthcare providers navigate this transition into new-age technology especially when it comes to the revenue collection and utilization analysis.
The areas of clinical analytics and population health management are a very important area, primarily because, there has become arisen a large void in electronic health records systems and recording parameters as patient safety measures, quality control measures, and responsive reporting requirements are still largely being fed into the old software.
Healthcare sector lacks access to critical data that would help to create truly actionable analytics at the point of care. While patients as consumers have a no-sum-gain acceptance for under-progress services concerning Artificial Intelligence, While many healthcare devices are already outdated, patient-generated analytics and recorded health care data is further complicating viable solutions. It has become critical to device meaningful results and solutions to end-users without overburdening the existing software mechanisms in healthcare institutions.
Natural language processing (NLP) is able the bring many solutions to this complicated mission. It's ability to analyze and extract meaning from narrative text and non-related data sources is driving many advanced and innovative health solutions, healthcare devices and IT tools have access to consumer market.
Our AI focus is to support development and implementation of breakthrough application models and technology, in the healthcare industry, by abridgement of AI interface technology in the Healthcare sector & medical institutions and with experts and leading doctors worldwide.
We are developing and supporting the growth in engineering and especially in aerospace, automotive and infrastructure industry through R&D support in Self-driving Vehicles. As of 2018, there are over 66 companies utilising AI into the creation of AI functionality vehicles. 31 out of those 66 are directly being impacted by our AI focus.
We are also focussed on targeted areas for deeper level of segment development - in applications inclusive of lane swapping, collision care, navigation and mapping, we are working with strong automotive stakeholders in US, UK, Europe and India.
We are also working with many financial institutions in developing usage of artificial neural network systems for detection of charges or claims outside of the norms marking them for human investigation. Our AI algorithmic trading systems for our clients help invest in global stocks and manage real-estate portfolios and properties. Our major focus of AI application is towards :
For Investment opportunities, AI global exclusive deal flow access and Research & Development support