Artificial intelligence

Field of study

About

Thing
Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals.
Artificial intelligence
Definition
Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals.
Artificial intelligence
Artificial intelligence
Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals.

Mentions

The fact that even AI experts sometimes have trouble training new models implies that the process has yet to be automated in a way where it could be incorporated into a general-purpose product. Some of the biggest advances in deep learning will come through discovering more robust training methods. We have already seen this some with advances like dropout, super convergence, and transfer learning, all of which make training easier. Through the power of transfer learning (to be discussed in Part 3) training can be a robust process when defined for a narrow enough problem domain; however, we still have a ways to go in making training more robust in general.

Companies of all sizes are implementing AI, ML, and cognitive technology projects for a wide range of reasons in a disparate array of industries and customer sectors. Some AI efforts are focused on the development of intelligent devices and vehicles, which incorporate three simultaneous development streams of software, hardware, and constantly evolving machine learning models. Other efforts are internally-focused enterprise predictive analytics, fraud management, or other process-oriented activities that aim to provide an additional layer of insight or automation on top of existing data and tooling. Yet other initiatives are focused on conversational interfaces that are distributed across an array of devices and systems. And others have AI & ML project development goals for public or private sector applications that differ in more significant ways than these.

The UK is driving a new wave of regulatory innovation through its Regulators’ Pioneer Fund. Established in 2018, it has invested in 15 novel experiments – from stimulating tech entry to the legal services market to supporting testing of AI-powered medical devices.

Privacy and tech experts say that governments must be agile in creating laws to protect their citizens from ethically dubious applications of artificial intelligence (AI).

Meanwhile the acquisition by Facebook, no matter what form it takes, looks like a good fit given the U.S. company’s investment in next generation platforms, including VR and AR. It is also another — perhaps, worrying — example of U.S. tech companies hoovering up U.K. machine learning and AI talent early.

Musk and Zuckerberg have butted heads in the past over the future of artificial intelligence, too, with Musk calling Zuckerberg’s understanding of the future of AI “limited” in 2017.

French companies OSE Immunotherapeutics and MAbSilico are teaming up to drive the discovery of new antibody drugs using artificial intelligence.

Guided by brain-like ‘spiking’ computational frameworks, neuromorphic computing—brain-inspired computing for machine intelligence—promises to realize artificial intelligence while reducing the energy requirements of computing platforms. This interdisciplinary field began with the implementation of silicon circuits for biological neural routines, but has evolved to encompass the hardware implementation of algorithms with spike-based encoding and event-driven representations. Here we provide an overview of the developments in neuromorphic computing for both algorithms and hardware and highlight the fundamentals of learning and hardware frameworks. We discuss the main challenges and the future prospects of neuromorphic computing, with emphasis on algorithm–hardware codesign.

MedWhat generates personalized answers to your medical questions using a combination of natural language processing, information retrieval, bioinformatics, and artificial intelligence technology.

This is not to say that no startups are working to commercialize this technology. Last year, CureMetrix became the first company to receive FDA approval for its AI-based breast cancer technology; the company plans to deploy in several clinical settings this year. Other startups angling to commercialize and scale AI-based radiology in the near term include Arterys, Aidoc, Zebra Technologies and DeepHealth.

Why is a tech backbone so critical to operations—to say nothing of a tech-enabled transformation? In short, the tech backbone manages the storage, aggregation, analysis, and provision of data across the organization. Companies with obsolete legacy systems face significant challenges in consolidating data from different sources, maintaining consistency and quality, and making the necessary updates within the required timelines. And because solutions based on analytics, AI, and the industrial IoT all rely on unfettered access to comprehensive, high-quality data to generate business insights, an inadequate tech backbone will severely limit the impact of these technologies.

See also

Anton Vasetenkov is a Russian software engineer.

Boole is your local analytics consultant. Based in Auckland, New Zealand, Boole offers web analytics services including Google Analytics tracking installation, data reporting, and optimisation. Boole's services range from auditing to consulting and teaching. A digital analytics expert, Boole provides analytics debugging and troubleshooting services to help you fix your existing Google Analytics setup. Boole works with a range of industry leading tools such as Google Analytics, Google Optimise, Google Data Studio, Google Tag Manager, Hotjar, Facebook Pixel, and others to help you get the most of your marketing.

Boole is a marketing consultant in Auckland, New Zealand. Boole helps you optimise your website content, product, and services through A/B testing, personalisation, and product recommendations supported by accurate and timely measurement of your key business metrics such as web conversion rates.

Tett is a bioinformatics consultant in Auckland, New Zealand. Tett Bioinformatics offers bioinformatics services including genomics and biomedical data analysis and discovery.

The introduction to the Gene Ontology graph published by Tett outlines the structure of the GO RDF model and shows how the GO graph can be queried using SPARQL.

Hesper is a knowledge management and data integration consultant in Auckland, New Zealand. Hesper's insights into state-of-the-art data, information, and knowledge management enable it to help organisations reassess their data analysis, integration, and enrichment approaches in light of advanced semantic technologies that are evolving every day. Enterprise knowledge graphs, knowledge bases, ontologies, and taxonomies are emerging technologies that support better decision-making and knowledge integration and enable automated knowledge inference over internal and external data.

The overview of the Nobel Prize dataset published by Hesper demonstrates the power of Linked Data and demonstrates how linked datasets can be queried using SPARQL. Use SPARQL federation to combine the Nobel Prize dataset with DBPedia.

Learn why federated queries are an incredibly useful feature of SPARQL.

As digital products and services are becoming more and more complex, so are the technical requirements for correctly implementing user measurement and analytics. Boole helps you better understand your audience by setting up measurement using Google Analytics.

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Explore the list of coronavirus (COVID-19) resources for bioinformaticians and data science researchers.

Sequence logos visualize protein and nucleic acid motifs and patterns identified through multiple sequence alignment. They are commonly used widely to represent transcription factor binding sites and other conserved DNA and RNA sequences. Protein sequence logos are also useful for illustrating various biological properties of proteins. Create a sequence logo with Sequence Logo. Paste your multiple sequence alignment and the sequence logo is generated automatically. Use the sequence logo maker to easily create vector sequence logo graphs. Please refer to the Sequence Logo manual for the sequence logo parameters and configuration. Sequence Logo supports multiple color schemes and download formats.

Sequence Logo is a web-based sequence logo generator. Sequence Logo generates sequence logo diagrams for proteins and nucleic acids. Sequence logos represent patterns found within multiple sequence alignments. They consist of stacks of letters, each representing a position in the sequence alignment. Sequence Logo analyzes the sequence data inside the user's web browser and does not store or transmit the alignment data via servers.

Te Reo Maps is an online interactive Maori mapping service. All labels in Te Reo Maps are in Maori, making it the first interactive Maori map. Te Reo Maps is the world map, with all countries and territories translated into Maori. Please refer to the list of countries in Maori for the Maori translations of country names. The list includes all UN members and sovereign territories.

Phonetically is a web-based text-to-IPA transformer. Phonetically uses machine learning to predict the pronunciation of English words and transcribes them using IPA.

Punycode.org is a tool for converting Unicode-based internationalized domain names to ASCII-based Punycode encodings. Use punycode.org to quickly convert Unicode to Punycode and vice versa. Internationalized domains names are a new web standard that allows using non-ASCII characters in web domain names.

Bioinformatically is an online journal about everything bioinformatics. It includes industry news, research highlights, and a variety of editorials. Bioinformatically helps you start your day with everything you need to know and a dash of fun.

My Sequences is an online platform for storing and analyzing personal sequence data. My Sequences allows you to upload your genome sequences and discover insights and patterns in your own DNA.

Словообразовательный словарь «Морфема» дает представление о морфемной структуре слов русского языка и слов современной лексики. Для словообразовательного анализа представлены наиболее употребительные слова современного русского языка, их производные и словоформы. Словарь предназначен школьникам, студентам и преподавателям. Статья разбора слова «сладкоежка» по составу показывает, что это слово имеет два корня, соединительную гласную, суффикс и окончание. На странице также приведены слова, содержащие те же морфемы. Словарь «Морфема» включает в себя не только те слова, состав которых анализируется в процессе изучения предмета, но и множество других слов современного русского языка. Словарь адресован всем, кто хочет лучше понять структуру русского языка.

COVID-19 drugs dataset

Tongan names of countries dataset

Maori names of countries dataset

Разбор слова летечко по составу.

Разбор слова ракушечка по составу.

Разбор слова радиособрание по составу.

Разбор слова нырнуть по составу.

Разбор слова ленивенький по составу.

Разбор слова поводочек по составу.

Разбор слова пятнышко по составу.

Разбор слова находящийся по составу.

Разбор слова подорожник по составу.