If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The MIT team first used the deep learning model to screen a library of 6,000 molecules for those which may be effective against E. coli. The search detected halicin, which the authors tested against a number of cultured bacterial strains, discovering the molecule "displays bactericidal activity against a wide phylogenetic spectrum of pathogens including Mycobacterium tuberculosis and carbapenem-resistant Enterobacteriaceae," the authors wrote. The researchers also found halicin kills C. difficile and a "pan-resistant" infection in mouse models. In a subsequent screen of more than 107 million molecules from the ZINC15 database provided by the University of California, San Francisco, the AI tool identified eight molecules with structures distinct from known antibiotics but which might have potent anti-bacterial properties. Professor Jacob Durrant of the University of Pittsburgh, a drug design researcher who was not part of the study, told The Guardian: "The work really is remarkable.
Both approaches have their pros and cons. The blog post Machine Learning and Real-Time Analytics in Apache Kafka Applications and the Kafka Summit presentation Event-Driven Model Serving: Stream Processing vs. RPC with Kafka and TensorFlow discuss this in detail. There are more and more applications where the analytic model is directly embedded into the event streaming application, making it robust, decoupled, and optimized for performance and latency. The model can be loaded into the application when starting it up (e.g., using the TensorFlow Java API). Model management (including versioning) depends on your build pipeline and DevOps strategy. For example, new models can be embedded into a new Kubernetes pod which simply replaces the old pod. Another commonly used option is to send newly trained models (or just the updated weights or hyperparameters) as a Kafka message to a Kafka topic.
There is a lot of research being done on the implementation of AI in medicine. In fact, healthcare chatbots are becoming more and more common. As chatbot technology improves our experiences with self-driving cars and virtual help desks, it's also improving health services through improved data entry, more detailed analytics, and better self-diagnosis. But exactly how can a chatbot improve your workplace? And what role does machine learning play in the process?
Natural language processing (NLP) is one of the most important technologies to arise in recent years. Specifically, 2019 has been a big year for NLP with the introduction of the revolutionary BERT language representation model. There are a large variety of underlying tasks and machine learning models powering NLP applications. Recently, deep learning approaches have obtained very high performance across many different NLP tasks. Convolutional Neural Network (CNNs) are typically associated with computer vision, but more recently CNNs have been applied to problems in NLP.
Jennifer Bonine is a well-known speaker, teacher, and trainer and has given keynote presentations at numerous testing, agile, and development conferences, both nationally and internationally. Jennifer's belief is that we should do what we are passionate about, and to this end, she cofounded and is the CEO of Pink Lion AI, a breakout company that brings AI to the world's app teams and delivers AI integration with a human engagement model while educating teams on solving challenges with an AI-first strategy. Jennifer is the first female AI testing tech CEO and is currently collaborating in the entertainment, gaming, media, and professional sports industries with Test.AI. As Test.AI's partner, PinkLion is using AI to solve testing challenges that have been unsolvable with more traditional automation testing. Jennifer has held executive-level positions leading development and quality engineering teams for Fortune 100 companies in several industries.
In this special guest feature, Claus Jepsen, Deputy CTO at Unit4, AI has risen as a main focus point for its ability to accelerate processes and help organizations remain competitive in today's unpredictable landscape. However, the benefits of AI go far beyond improved business operations and its potential to improve the internal workplace experience is often overlooked. Claus is a technology expert who has been fascinated by the micro-computer revolution ever since he received a Tandy TRS model 1 at the age of 14. Since then, Claus has spent the last few decades developing and architecting software solutions, most recently at Unit4, where he is leading the ERP vendor's focus on enabling the post-modern enterprise. At Unit4, Claus is building cloud-based, super-scalable solutions and bringing innovative technologies such as AI, chatbots, and predictive analytics to ERP.
Voice technology in education is taking over the academic sphere for both developers and learners. Marissa, from Alexa Education sheds more light on how the phenomenon is revolutionizing experiences in the education sector. Marissa has gathered massive passion for voice technology in education during her early days when she was producing CD-ROM educational content for'edutainment'. Her interest grew as she migrated to Microsoft where she worked on several projects that impacted the education industry such as Xbox and Encarta. Now, during her tenure in Amazon's Alexa Education, Marissa explains how her team is developing a solid connection between institutions and their stakeholders by providing efficient ways in which learners access educational content powered by technology.
In a fast paced world where people desire more in less, Ted Talks are evolving the landscape of learning and spreading education and awareness among people who need it. This platform of education is transforming lectures into interesting interactions consuming less time as several professionals are unable to attend day-long conferences to educate and update themselves. Moreover, in terms of technology or particularly artificial intelligence (AI), the introduction of TED Talks is also beneficial with regard to money owing to its free availability online. Presenters, who are passionate technology experts, take on the stage and speak with such energy and momentum where their enthusiasm contagiously boosts up youngsters. Therefore, here we have brought you the top AI Ted Talks that will elevate your reasoning and education about the technology.
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