Melvin Greer is Chief Data Scientist, Americas, Intel Corporation. He is responsible for building Intel's data science platform through graph analytics, machine learning and cognitive computing to accelerate transformation of data into a strategic asset for Public Sector and commercial enterprises. His systems and software engineering experience has resulted in patented inventions in Cloud Computing, Synthetic Biology and IoT Bio-sensors for edge analytics. He significantly advances the body of knowledge in basic research and critical, highly advanced engineering and scientific disciplines. Mr. Greer is a member of the American Association for the Advancement of Science (AAAS) and U.S. National Academy of Science, Engineering and Medicine, GUIRR.
AI/ ML will revolutionize medicine by making diagnosis and treatment more accessible and more effective. FDA has regulated medical software by means of regulation and guidance's for years, however, AI/ML programs fall outside the scope of these regulations and guidance's. This happens because FDA approves the final, validated version of the software. The point of AI/ML is to learn and update following deployment to improve performance. Thus the field version of the software is no longer the validated approved version.
Around the world, researchers in startups, academic institutions and online communities are developing AI models for healthcare. Getting these models from their hard drives and into clinical settings can be challenging, however. Developers need feedback from healthcare practitioners on how their models can be optimized for the real world. So, San Francisco-based AI startup Arterys built a forum for these essential conversations between clinicians and researchers. Called the Arterys Marketplace, and now integrated with the NVIDIA Clara Deploy SDK, the platform makes it easy for researchers to share medical imaging AI models with clinicians, who can try it on their own data.
AIML stands for Artificial Intelligence Markup Language and is used to create Chatbots. Chatbots are software applications with whom you can have normal conversations instead following an elaborate syntax or commands. Following article contains some basic utilities which can equip you to write a fulling functioning AIML bot. It derives itself from eXtensible Markup Language, and so every opening tag has a closing Tag, aiml shall be closed with a backward slash as follows \aiml . Below it the UDC file with nothing much incorporated.
COVID19, also known as coronavirus, has developed into a recent global threat. The disease has no cure, no treatments, and no means of controlling it – other than isolation, social distancing, face masks, and hand washing. One form of technology that has shown its capability in tracing, tracking, and helping to prevent the spread of the virus comes through artificial intelligence or AI. AI systems were already in use as a tool to help predict and prevent the spread of viruses in the health community. It was an AI-based system that first discovered an unknown form of pneumonia that was spreading around Wuhan, China, giving insight that an epidemic was in its beginnings.
Behavioural Strategy was founded as a management consultancy in Copenhagen in 2014 to help corporations be more valuable to both shareholders and society by using a broader range of research. The company combine behavioral economics with psychology, decision theory, game theory, economics, statistics (lots of statistics), technology and a keen understanding of commercial operations to solve difficult problems. Behavioural Strategy are a hybrid between a service and a technology company offering both traditional consultancy services as well as a suite of automated tools that help us help businesses. EPOS is an audio and video solution company developing and selling devices for business professionals and the gaming community. Based on leading and advanced technologies, the Danish founded company delivers high-end audio and video solutions with design, technology and performance as paramount parameters.
Machine learning (ML) is the next wave of transformative technology that can be used as a force for social good. When coded correctly, ML can remove human biases and even help us better understand others around us. ML can even be used to battle a global pandemic! Attend this talk to learn about ML and how it works. We'll explore the architecture of real-world case studies using Amazon Web Services (AWS) and even crack open the code.
Research on semantic web services promises greater interoperability among software agents and web services by enabling content-based automated service discovery and interaction and by utilizing . Although this is to be based on use of shared ontologies published on the semantic web, services produced and described by different developers may well use different, perhaps partly overlapping, sets of ontologies. Interoperability will depend on ontology mappings and architectures supporting the associated translation processes. The question we ask is, does the traditional approach of introducing mediator agents to translate messages between requestors and services work in such an open environment? This article reviews some of the processing assumptions that were made in the development of the semantic web service modeling ontology OWL-S and argues that, as a practical matter, the translation function cannot always be isolated in mediators.