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) …
Dmitry Dolgorukov is the Co-Founder and CRO of HES Fintech, a leader in providing financial institutions with intelligent lending platforms. Companies seeking to implement artificial intelligence (AI) solutions often find themselves faced with a lack of knowledge and high costs, and that's before they even get started. According to a 2017 survey by Deloitte, 47% of businesses complained of difficulties integrating AI projects into their current systems. Meanwhile, 40% noted cost as a significant inhibiting factor. And 37% said managers simply don't have enough expertise to implement AI successfully, making artificial intelligence and its benefits inaccessible.
At a time when India is trying to rekindle productivity and growth, AI promises to fill the gap. AI can boost profitability and transform businesses across sectors through systems that can learn, adapt and evolve with changing times. Such systems are increasingly important in a post-pandemic world where scalable AI solutions may be able to help organizations be prepared even during unprecedented situations. As organisations are working hard to re-architect themselves by changing their business models and technology architecture to survive in the pandemic world, it is time for them to invest in scalable AI solutions to achieve their goals faster. At the same time, technologists and businesses across the world have to advocate for the responsible use of AI.
In a nutshell, proteins are linear chains of multiple amino acids, each of which consists in a constant unit of 4 non-hydrogen atoms plus a sidechain of variable size, ranging from none to around 20 atoms. The amino acids are connected through the constant unit, called backbone, to form a polypeptide that does not remain random but rather acquires one or more arrangements in space. That is, they fold into 3D structures. What exact structure a protein will adopt in 3D depends essentially on the identity of the amino acid sidechains, i.e. its amino acid sequence. Very briefly and simplifying definitions that are quite more complex, amino acid sequences are encoded by genes; the collection of genes of an organism is its genome; and the collection of proteins encoded in a genome is the proteome. To be more precise, and this will be important later, the polypeptide actually can fold into multiple substructures, each of which is called a domain.
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These super sized rock trucks are on their way to drop a load of Platinum rich ... [ ] rock into the crusher. These trucks can carry more than 200 tons of rock at a time, and are too large for public roads. With the total operating expenses of the top mining companies worldwide reaching USD $15 billion, efficient operational methods using AI now dubbed smart mining is rapidly advancing. McKinsey estimates that by 2035, the age of smart mining achieved through autonomous mining using data analysis and digital technologies like artificial intelligence (AI) will save between $290 billion and $390 billion annually for mineral raw materials producers. The mining industry is increasingly using artificial intelligence in innovative ways to optimize processes, enhance decision-making, derive value from data, and improve safety.
When a loved one passes, will we continue to communicate with the deceased through artificial intelligence? While that sounds like an episode of Black Mirror, the beginnings of a digital afterlife with some potentially positive ramifications recently took place with one man, as Jason Fagone reports in the San Francisco Chronicle. His story centers around writer Joshua Barbeau, a 33-year old who had lost his fiancee eight years earlier from a rare liver disease. At home one night, he accessed a site called Project December. As Fagone notes, the site is "powered by one of the world's most capable artificial intelligence systems, a piece of software known as GPT-3. It knows how to manipulate human language, generating fluent English text in response to a prompt."
This report presents a hands-on introduction to natural language processing (NLP) of radiology reports with deep neural networks in Google Colaboratory (Colab) to introduce readers to the rapidly evolving field of NLP. The implementation of the Google Colab notebook was designed with code hidden to facilitate learning for noncoders (ie, individuals with little or no computer programming experience). The data used for this module are the corpus of radiology reports from the Indiana University chest x-ray collection available from the National Library of Medicine's Open-I service. The module guides learners through the process of exploring the data, splitting the data for model training and testing, preparing the data for NLP analysis, and training a deep NLP model to classify the reports as normal or abnormal. Concepts in NLP, such as tokenization, numericalization, language modeling, and word embeddings, are demonstrated in the module.