Cluster: Artificial intelligence

Cluster: Artificial intelligence

A cluster of topics related to artificial intelligence.

Artificial intelligence (AI) is intelligence exhibited by machines. This is a cluster of topics in AI or related to AI.

Types of artificial intelligence

Artificial Intelligence (AI) is classified into types based on the degree to which an AI system can replicate or go beyond human capabilities. One classification system uses four types: reactive machines, limited memory machines, theory of mind and self-aware AI. Another classification divides AI into two divisions: Weak AI or Narrow AI and Strong AI or General AI or Artificial General Intelligence. Different branches of AI are referred to by the method used to achieve AI.

Machine learning

Machine learning is a technique for realizing AI and it is an application of AI where machines are given access to data from which they learn for themselves.

Machine learning tools

Tools, algorithms, libraries and interfaces for machine learning.

Neural networks

Artificial neural network (ANN) processing devices can be algorithms or actual hardware that are loosely modeled after the neuronal structure of the mammalian cerebral cortex. Neural networks are used in the branch of machine learning called deep learning. The following are types of neural networks used in machine learning as well as topics associated with neural networks.

Deep learning frameworks

A Deep Learning Framework is an interface, library or a tool which allows users to build deep learning models more easily and quickly, without getting into the details of underlying algorithms. Libraries are useful for individuals who want to implement Deep Learning techniques but don’t have robust fluency in back-propagation, linear algebra or computer math. These libraries provide pre-written code for functions and modules that can be reused for deep learning training for different purposes.

Reinforcement learning

Reinforcement learning is an area of machine learning focusing on developing agents that can learn from their environment over time by taking actions and receiving rewards. The following are algorithms, tools and research topics related to reinforcement learning.

Supervised learning

Supervised learning is a type of machine learning in which data is fully labelled and algorithms learn to approximate a mapping function well enough that they can accurately predict output variables given new input data. This section contains supervised learning techniques. For example, Gradient Descent is a technique to optimize neural networks in supervised machine learning. Gradient descent optimization algorithms are used to speed up the learning process of deep neural networks. Another example, Support Vector Machine (SVM), is a type of algorithm that is a discriminative classifier formally defined by a separating hyperplane used for regression and classification tasks.

Decision trees

A decision tree is a model for supervised learning that can construct a non-linear decision boundary over the feature space. Decision trees are represented as hierarchical models of "decisions" over the feature space, making them powerful models that are also easily interpretable.

Unsupervised learning

Unsupervised learning is a branch of machine learning focused on structuring data that has not been labeled. The following are methods used in unsupervised machine learning.

Clustering

In unsupervised machine learning, clustering is the process of grouping similar entities together in order to find similarities in the data points and group similar data points together.

Ensemble learning

Ensemble methods are meta-algorithms that combine several machine learning techniques into one predictive model. The purpose is to decrease variance (bagging), bias (boosting), or improve predictions (stacking).

Dimensionality reduction

In machine learning classification problems when there are too many factors or variables, also called features. When most of the features are correlated or redundant, dimensionality reduction algorithms are used to reduce the number of random variables. Certain features are selected and others are extracted.

Parameterized statistical models

Machine learning models are parameterized to tune their behavior for a given problem. Noise contrastive estimation (NCE) is an estimation principle for parameterized statistical models. NCE is a way of learning a data distribution by comparing it against a defined noise distribution. The technique is used to cast an unsupervised problem as a supervised logistic regression problem. NCE is often used to train neural language models in place of Maximum Likelihood Estimation.

Computer Vision

Computer vision is the ability of artificially intelligent systems to “see” like humans. In the computer vision field machines are developed that automate tasks that require visual cognition. Deep learning and artificial neural networks are used to develop computer vision. The following are topics related to computer vision as well as tools and libraries. Companies developing or selling computer vision products are under the Computer Vision subheading under the AI applications and companies section.

Natural language processing

Natural language processing is a branch of AI that helps computers understand, interpret and manipulate human language. The following are tools and topics related to NLP. NLP companies developing or selling NLP applications are found in the AI applications and companies section under Natural language processing.

Quantum Computing

Advances in deep learning are expected to increase understanding in quantum mechanics. It is thought that quantum computers will accelerate AI. Quantum computers have the potential to surpass conventional ones in machine learning tasks such as data pattern recognition. The following are topics, companies and technologies that link quantum computing and AI.

Semantic Computing

Semantic computing deals with the derivation, description, integration and use of semantics (meaning, context and intention) for resources including data, document, tool, device, process and people. Semantic computing includes analytics, semantics description languages, integration of data and services, interfaces and applications. In AI, semantic computing involves the creation of ontologies that are combined with machine learning to help computers create new knowledge. Semantic technology helps cognitive computing extract useful information from unstructured data in pattern recognition and natural-language processing.

IoT (Internet of Things)

The Internet of Things (IoT) refers to objects that connect and transfer data via the internet and the sharing of information between devices. IoT based smart systems generate a large volume of data including sensor data valuable to researchers in healthcare, bioinformatics, information sciences, policy and decision making, government and enterprises. AI can be combined with machine learning for analysis of data and prediction.

Artificial life and evolutionary computation

While some lines of AI research aim to simulate the human brain. Artificial life or animate approach is concerned with the conception and construction of artificial animals as simulations or actual robots. It aims to explain how certain faculties of the human brain might be inherited from the simplest adaptive abilities of animals. Evolutionary computation is a generic optimization technique that draws inspiration from the theory of evolution by natural selection.

Artificial intelligence companies

The following are companies using AI to develop products or producing AI software for various applications. AI programs designed for a specific applications are also listed.

Timeline

People

Name
Role
LinkedIn

Dragos Grozavu

Founder

Further reading

Title
Author
Link
Type
Date

Documentaries, videos and podcasts

Title
Date
Link

Artificial Intelligence Podcast | AI Podcast | Lex Fridman

Companies

Company
CEO
Location
Products/Services

AIAR EdTech AB

Rufus Lidman

Stockholm, Sweden

Digital education platform

Jerett Gordon

San Antonio, US

Barry N. Perkins

San Francisco, California, US

Sanjay Patil

Redwood City, California, US

Las Vegas, US

Direct Aviated Response (DAR) System

Moustafa Mahmoud

Dubai, UAE

Automated digital advertising

Nargiz Mammadova

Toronto, Canada

Destin AI Chatbot

Ori Lapidot

Austin, US

Digital risk analysis

Raja Sharif

London, England

Khalil Zahar

Los Angeles, US

At-home boxing

Jeff Orkin

Boston, US

Customized AI conversation bots

Amine Ketz

Paris, France

Robin Choy

Paris, France

Automated job candidate search

Marcin Strzałkowski

San Francisco, US

Automated, customizable chatbots

San Francisco, California, US

Paris, France

Purva Gupta

Mountain View, US

App for fashion recommendations

Mohamed Dardouri

Sousse, Tunisia

Oded Harth

San Francisco, US

AI-enhanced acne treatment

Wensheng Cai

Xiamen

Mobile phones & apps

Montreal, Canada

LANDR

Chowdary Meenavilli

Hyderabad, India

Neal Archbold

London, England

Dr. Anna Lukasson-Herzig

Berlin, Germany

Visual search engine

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News

Title
Author
Date
Publisher
Description
Guardian US opinion editors
September 11, 2020
the Guardian
Commissioning GPT-3 was a fun - and strange - lesson in artificial intelligence. Here's how we did it
September 1, 2020
WebWire
TietoEVRY will enhance data science capabilities with specialist third-party cooperation. Yazzoom, a digital services and software company, has in-depth expertise in applying Artificial Intelligence (AI), machine learning and advanced analytics to machine data and production processes, with positive references from the pulp and paper industry. Together, by combining the expertise, our customers' operational excellence can be improved. Data analysis in mills has a long history, but new t...
July 28, 2020
WebWire
, , , , • Research from the University of Sheffield's Neuroscience Institute examines how the routine use of Artificial Intelligence (AI) in healthcare could help to relieve the economic impact neurodegenerative diseases, such as Alzheimer's, put on the NHS, , • Study highlights how AI technologies, such as machine learning algorithms, can detect neurodegenerative disorders before progressive symptoms worsen, , • The number of people living with Alzheimer's is expected to treble to 115 million by...
Will Knight
July 11, 2020
Wired
A new paper argues that the computing demands of deep learning are so great that progress on tasks like translation and self-driving is likely to slow.
July 2, 2020
WebWire
In the past few years, Artificial Intelligence has become more and more ubiquitous in our everyday tech, and it shows no signs of going away, with investment into UK AI reaching £2.42bn in 2019. According to the Tech Nation Report 2020, looking at data from 2015-2019, the UK is third in the world for levels of AI investment, second by deal count, and the only country of the top 5 AI nations to have demonstrated consistent positive year-on-year growth for the last 5 years. A regular featu...
BS Web Team & PTI
June 8, 2020
@bsindia
Hybrid cloud offerings would help businesses migrate, manage and transform mission-critical workloads and applications, with security across public or private cloud and on-premises IT environments
Kelly Clancy
May 19, 2020
Wired
Thinking machines think just like us--but only up to a point.
William Davidow
May 4, 2020
Scientific American Blog Network
The potential dangers of this technology are great enough that we need to be very careful about how powerful we allow it to be
March 20, 2020
The Economic Times
The RAISE 2020 Summit is expected to feature some of the most exciting global startups working in Artificial Intelligence related fields and is expected to have multiple events such as the AI Startup Pitchfest, AI Startup Theater and The AI Startup Awards.
March 5, 2020
WebWire
A free planning toolkit to help museums develop Artificial Intelligence (AI) projects has been launched by The Museums + AI Network - a group of senior museum professionals and academics in the UK and US that have come together to discuss how AI can fit within a museum context., , , , AI: A Museum Planning Toolkit is the result of their discussions, workshops and events, as well as a series of public events called Curator: Computer: Creator, that sought more diverse voices on how AI might...
Jim Malone
February 6, 2020
CIO
Tech Prognosis: Prevention, Diagnosis, and Back-Office Benefits
January 31, 2020
International Business Times UK
Artificial Intelligence may lead to false findings of alien life, a study reveals.
December 18, 2019
WebWire
Damart becomes the voice that is never cold. The innovative textiles specialist has teamed up with Google and Atos, global leader in digital transformation, to develop its first voice application. Accessible via Google Home connected speakers, and smartphones which are compatible with Google Assistant, it helps users select and buy their ideal Thermolactyl (Damart's thermal clothing brand), depending on the weather, their style, and their activity. It will also offer users the opportunity...
December 10, 2019
WebWire
, , , , • Early technology adopter consumers expect an Internet of Senses by 2030, enabling a new service economy based on digital sensory experiences, , • With the human brain as the user interface, consumers expect devices to respond to thoughts, creating a new interaction paradigm, , • Most consumers believe that Internet of Senses' services will make society more environmentally sustainable, , , , , , Consumers expect an array of beneficial services from connected technology interacting with our s...
Jim Salter
December 9, 2019
Ars Technica
If you want to get your own hands dirty with machine learning, start here.
December 4, 2019
WebWire
A new study released by LexisNexis® Risk Solutions found that the majority of the respondents (62%) work for insurance carriers that have already adopted artificial intelligence (AI) and machine learning (ML) initiatives and that an overwhelming majority (75%) believe AI and ML can provide carriers with a competitive advantage through better decision-making. While carriers are generally positive about their use of Artificial Intelligence and Machine Learning (AI/ML), implementation do...
Sravasti Datta
November 25, 2019
The Hindu
Jaspreet Bindra's book 'The Tech Whisperer' isn't just for technology enthusiasts
ANI
November 12, 2019
@bsindia
Read more about From self-drive cars to IoT, these next-wave techs will rule 2020s decade on Business Standard. New Delhi [India], Nov 12 (ANI): For the first time human life changed significantly in the 20th century after several centuries of incremental progress. After hundreds of years of social, economic and political change, technology was the harbinger
Agencies
November 1, 2019
@bsindia
Read more about India, Germany ink 20 agreements in AI, green urban mobility & agriculture on Business Standard. While strengthening Cooperation in the Field of Artificial Intelligence and Digital Transformation formed a major part of the joint statement, there was also a large section on combating terrorism
September 26, 2019
WebWire
, , , , • Both companies will co-invest up to 250 k€ for each startup , , , , , , , , , , • The main interest areas are Artificial Intelligence, Machine Learning, Internet of Things, Video, Cybersecurity, Edge Computing among others. , , , , , , Wayra, the open innovation hub network by Telefónica, and TheVentureCity, the global accelerator of technological ecosystems with headquarters in Madrid and Miami, have signed a global deal to jointly invest in Latin-American startups focused on the Internet o...
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References

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