AI News, 19 Artificial Intelligence Technologies That Will Dominate In 2018

19 Artificial Intelligence Technologies That Will Dominate In 2018

In 2017, we published a popular post on artificial intelligence (AI) technologies that would dominate that year, based on Forrester’s TechRadar report.

By providing algorithms, APIs (application programming interface), development and training tools, big data, applications and other machines, ML platforms are gaining more and more traction every day.

This last one is particularly interesting for one simple reason: Adext AI is the first and only audience management tool in the world that applies real AI and machine learning to digital advertising to find the most profitable audience or demographic group for any ad.

And if you haven’t seen them already, expect the imminent appearance and wide acceptance of AI-optimized silicon chips that can be inserted right into your portable devices and elsewhere.

Deep learning platforms use a unique form of ML that involves artificial neural circuits with various abstraction layers that can mimic the human brain, processing data and creating patterns for decision making.

It allows for more natural interactions between humans and machines, including interactions related to touch, image, speech and body language recognition, and is big within the market research field.

Their digital twins are mainly lines of software code, but the most elaborate versions look like 3-D computer-aided design drawings full of interactive charts, diagrams, and data points.

AI and ML are now being used to move cyberdefense into a new evolutionary phase in response to an increasingly hostile environment: Breach Level Index detected a total of over 2 billion breached records during 2017.

Recurrent neural networks, which are capable of processing sequences of inputs, can be used in combination with ML techniques to create supervised learning technologies, which uncover suspicious user activity and detect up to 85% of all cyber attacks.

Startups such as Darktrace, which pairs behavioral analytics with advanced mathematics to automatically detect abnormal behavior within organizations and Cylance, which applies AI algorithms to stop malware and mitigate damage from zero-day attacks, are both working in the area of AI-powered cyber defense.

Compliance is the certification or confirmation that a person or organization meets the requirements of accepted practices, legislation, rules and regulations, standards or the terms of a contract, and there is a significant industry that upholds it.

And the volume of transaction activities flagged as potential examples of money laundering can be reduced as deep learning is used to apply increasingly sophisticated business rules to each one.

Merlon Intelligence, a global compliance technology company that supports the financial services industry to combat financial crimes, and Socure, whose patented predictive analytics platform boosts customer acceptance rates while reducing fraud and manual reviews.

While some are rightfully concerned about AI replacing people in the workplace, let’s not forget that AI technology also has the potential to vastly help employees in their work, especially those in knowledge work.

Content creation now includes any material people contribute to the online world, such as videos, ads, blog posts, white papers, infographics and other visual or written assets.

Nano Vision, a startup that rewards users with cryptocurrency for their molecular data, aims to change the way we approach threats to human health, such as superbugs, infectious diseases, and cancer, among others.

Another player utilizing peer-to-peer networks and AI is Presearch, a decentralized search engine that’s powered by the community and rewards members with tokens for a more transparent search system.

And Affectiva’s Emotion AI is used in the gaming, automotive, robotics, education, healthcare industries, and other fields, to apply facial coding and emotion analytics from face and voice data.

It uses software to automate customer segmentation, customer data integration, and campaign management, and streamlines repetitive tasks, allowing strategic minds to get back to doing what they do best.

If marketing is your jam, you may like to read this article with the 9 Applications Of Artificial Intelligence In Digital Marketing That Will Revolutionize Your Business One of the leaders in this field is Adext AI, whose audience management platform can boost ad spend efficiency by up to+83%% in just 10 days.

The software automates all the process of campaign management and optimization, making more than 480 daily adjustments per ad to super-optimize campaigns and managing budgets across multiple platforms and over 20 different demographic groups per ad.

19 Artificial Intelligence Technologies That Will Dominate In 2018

[5] As organizations begin to explore how Artificial Intelligence (AI) can transform their operations and improve customer experiences, the questions and concerns about how to successfully deploy emerging AI technologies can be considerable.

China’s 2017 AI development plan “describes how the ability to predict and grasp group cognition means ‘AI brings new opportunities for social construction.'”

[9] Aging demographics and an emerging great power competition pitting China against the United States form the backdrop to a high-stakes race in artificial intelligence development.

[10] Amid the apparent decline of physical shops, new technologies are offering new opportunities to future consumers who will continue to visit stores, but with the help of artificial intelligence on their smartphones.

[10] New advances in machine vision, powered by rapidly growing artificial intelligence and neuromorphic technologies can absorb and process data at much higher rates.

[11] Fintech expert Chris Skinner shared the stage with Carlos Kuchkovsky, CTO New Digital Businesses at BBVA, at Desaf’o Ingenia, where they debated the arrival of technologies such as artificial intelligence, the importance of data and new entrants in the financial services market.

[6] Scientific instruments are the eyes, ears and hands of science, but unlike artificial intelligence the goal is not to replicate human behavior but to augment it with superhuman measurement, control and analysis capabilities, empowering scientists to handle data at unprecedented scales, provide new scientific insights and solve societal challenges.”

[13] In this article, we will discuss a new type of RNN developed by Google Brain, their artificial intelligence team, which analyses human sketches and presents them on a vector format.

[13] In the recent resurgence of artificial intelligence, computers can already replicate the brain in certain ways, but it takes about a dozen digital devices to mimic one analog synapse.

[13] A Watson powered artificial intelligence system is monitoring emotional outburst from top tennis players at Wimbledon to help it decide which clips make it into highlights packages.

[7] Gartner predicts that the total global business value derived from artificial intelligence (AI) is projected to total $1.2 trillion in 2018, an increase of 70 percent from 2017.

[16] Among her thoughts: “(a)utonomous technology that?s safer than a car with a human driver is coming, and it?s going to get better and better and better with technologies like artificial intelligence and machine learning.”

[16] EBU Recorded: Jul 19 2018 63 mins Artificial intelligence (AI) and machine learning are starting to transform the way content is created, managed and delivered.

[17] Web experience management (WEM) is being disrupted with new architectures, increased cloud adoption, an array of new channels to support, and the growing use of artificial intelligence (AI) and machine learning throughout the portfolio.

[10] Accordingly, the Committee adds $308,000,000 in addition to amounts requested in the fiscal year 2019 budget submission to achieve dominant AI capabilities, including an additional $150,000,000 for the algorithmic warfare cross function team also known as Project Maven and $83,000,000 to establish a Joint Artificial Intelligence Center.

[10] This year?s event promises to be particularly interesting given the emergence of the age on consumption, as well as the confluence of multiple industry trends, including cloud, the Internet of Things, and artificial intelligence.

[20] This is not a single technology, but rather a set of construction blocks that act as catalysts for major advances, which is why BBVA is committed to an innovative approach based on data science and artificial intelligence to boost its capital markets business.

[10] Partho Sengupta, M.D., DM, FACC, FASE, chief division of cardiology, director of cardiac imaging, West Virginia University Heart and Vascular Institute, explains how artificial intelligence is being integrated into echocardiography and used to mine big data to better assess patients at the American Society of Echocardiography (ASE) 2018 meeting.

“Defence Secretary Gavin Williamson announced the launch of a new artificial intelligence hub as he hosted the first ever joint US-UK Defence Innovation Board meeting yesterday (21 May) to explore important areas of co-operation that will maintain military edge into the future.”

[16] South China Morning Post reports that, “The U.S. government may start scrutinising informal partnerships between American and Chinese companies in the field of artificial intelligence, threatening practices that have long been considered commonplace for technology companies.”

[16] “Clifford Chance (CC) has launched a new training contract focused on legal technology, as the firm looks to nurture up-and-coming talent with an aptitude for areas such as fintech, coding and artificial intelligence.

Merlon Intelligence, a global compliance technology company that supports the financial services industry to combat financial crimes, and Socure, whose patented predictive analytics platform boosts customer acceptance rates while reducing fraud and manual reviews.

[1] Kim Technologies, whose aim is to empower knowledge workers who have little to no IT programming experience with the tools to create new workflow and document processes with the help of AI, is one of them.

[1] Deep learning platforms use a unique form of ML that involves artificial neural circuits with various abstraction layers that can mimic the human brain, processing data and creating patterns for decision making.

[9] By employing AI technologies, such as machine learning, and big data, Williams hopes to be able to identify correlations between the multitude of variables that were previously not possible using just human experts, according to Hackland.

[26] When it comes to the world of corporate events, there are countless trends and ideas constantly emerging that one needs to understand and implement in their own event, from event ideas to cutting-edge technologies.

[27] Much has happened already in 2018 : we earned a learning technology award, attended some awesome conferences like ATD ICE and SHRM, hosted our own conference eLBX, released Safety Training Customizable Courseware, moved offices, etc.

which analyzed 18 million learners and polled 263 learning and development managers, discusses various key topics to pay attention to this year.

[27] Every nation will continue to have access the latest advances in neurorobotics, drones, swarm intelligence, reinforcement learning, embodied cognition, multi-objective decision making, evolutionary computing, and master learning algorithms.

[26] If you look at any successful onsite event journey, you?ll spot five fundamental processes that can be honed through the use of smart technologies : Onsite check-in.

[26] Advanced industrial economies already struggling to cope with the ill effects of aging demographics with governments that are politically squeamish toward immigration will relentlessly look to machine learning technologies to increase productivity and economic growth in the face of growing labor constraints.

[3] A highly diversified company like Huawei, a pioneer in cutting-edge technologies like 5G and a mass producer of smartphones and telecommunications equipment, can leverage its global market share to play an influential role in setting international standards.

[12] “Finalists for the 2018 Gordon Bell prize include a deep learning computation at over 200 petaops /sec computation on Summit, which was a partnership between NERSC, OLCF, Nvidia, and Google, that was used to analyze data from cosmology and extreme weather events.

convey the opposite concept and most of the synonyms we found in the dictionary to which one can add all the myths found in some of the most successful block busters: humans dominated by machines that acquired their power by smart trickery.

[12] If you?ve started your digital transformation journey and are analyzing disruptive technologies for your business growth, experts at Nividous can help you determine the right technology and the adoption approach.

[10] Artificial Intelligence’s greatest advances have yet to come, but the combination of big data with machine learning algorithms has already yielded benefits to the financial world daily operations.

–The fiscal year 2019 President?s budget request includes $1,186,075,000 in the Technology Transition Program to demonstrate, prototype, and experiment with innovative technologies and concepts to accelerate their transition to acquisition programs and eventual operational use.

[11] These methodologies allow for the enhanced development of technologies such as lightweight armors, protective structures, kinetic energy active protection, ballistic shock and mine blast protection, helmet technologies to prevent traumatic brain injury, and numerous other uses.

[11] As part of its efforts to help DOD transition new technologies and capabilities into combat use, Congress has boosted funding in recent appropriations for a variety of programs designed for that purpose.

[32] This post ( This Japanese AI security camera shows the future of surveillance will be automated ) shows AI technology being developed in Japan to spot shoplifters and discusses the concerns about such technologies.

[16] “Seyfarth Shaw LLP announced today the formal launch of its Blockchain Technologies team, an interdisciplinary group of lawyers who counsel clients and interface with regulators to address legal issues raised by blockchain technology.

[14] From the Law Society Gazette : “Britain has an opportunity to be a global leader in new technologies transforming legal business and access to justice but should beware of complaceny, the minister for legal services said last night.

for a “due-diligence model enabled documents to be prioritized and fed into a custom platform that utilized artificial intelligence-enabled automatic text summarization and guided review.”

[16] This could have a considerable impact in financial services (FS), considering that 74 percent of FS executives surveyed for Accenture?s 2018 Future Workforce report indicated they expect to implement AI to a significant extent over the next three years.

[16] “Peter Spivack, a partner at Hogan Lovells in Washington, D.C., explains how the process of gathering, sorting, and evaluating enormous volumes of data has changed, and why skilled human intelligence is likely to remain a required component of an accurate analysis.”

[16] Targeting the future of the DoD?s controversial Project Maven initiative c4isrnet.com by Kelsey Atherton July 27, 2018 Bob Work, in his last months as deputy secretary of defense, wanted everything in place so that the Pentagon could share in the sweeping advances in data processing already enjoyed by the thriving tech sector.

[15] The Gowling WLG Reward Token scheme (GRT), launched on 2 July 2018, was designed internally to educate employees about blockchain technology and help staff to earn and share rewards.”

19 AI Technologies That Are Currently Dominating

Natural Language Generation is an AI sub-discipline that converts data into text, enabling computers to communicate ideas with perfect accuracy.

By providing algorithms, APIs (application programming interface), development and training tools, big data, applications and other machines, ML platforms are gaining more and more traction every day.

This last one is particularly interesting for one simple reason:Adext AI is the first and only audience management tool in the world that applies real AI and Machine Learning to digital advertising to find the most profitable audience or demographic group for any ad.

And if you haven’t seen them already, expect the imminent appearance and wide acceptance of AI-optimized silicon chips that can be inserted right into your portable devices and elsewhere.

Deep Learning platforms use a unique form of ML that involves artificial neural circuits with various abstraction layers that can mimic the human brain, processing data and creating patterns for decision making.

It allows for more natural interactions between humans and machines, including interactions related to touch, image, speech, and body language recognition, and is big within the market research field.

The good example is Adext AI, a platform that automates digital advertising processes using AI, saving businesses from devoting hours to mechanical and repetitive tasks.

It’s a solution that lets you make the most of your human talent and move employees into more strategic and creative positions, so their actions can really make an impact on the company's growth.

Their digital twins are mainly lines of software code, but the most elaborate versions look like 3-D computer-aided design drawings full of interactive charts, diagrams, and data points.

AI and ML are now being used to move cyberdefense into a new evolutionary phase in response to an increasingly hostile environment: Breach Level Index detected a total of over 2 billion breached records during 2017.

Recurrent neural networks, which are capable of processing sequences of inputs, can be used in combination with ML techniques to create supervised learning technologies, which uncover suspicious user activity and detect up to 85% of all cyber attacks.

Startups such as Darktrace, which pairs behavioral analytics with advanced mathematics to automatically detect abnormal behavior within organizations and Cylance, which applies AI algorithms to stop malware and mitigate damage from zero-day attacks, are both working in the area of AI-powered cyber defense.

Compliance is the certification or confirmation that a person or organization meets the requirements of accepted practices, legislation, rules and regulations, standards, or the terms of a contract, and there is a significant industry that upholds it.

Merlon Intelligence, a global compliance technology company that supports the financial services industry to combat financial crimes, and Socure, whose patented predictive analytics platform boosts customer acceptance rates while reducing fraud and manual reviews.

While some are rightfully concerned about AI replacing people in the workplace, let’s not forget that AI technology also has the potential to vastly help employees in their work, especially those in knowledge work.

Content creation now includes any material people contribute to the online world, such as videos, ads, blog posts, white papers, infographics and other visual or written assets.

Nano Vision, a startup that rewards users with cryptocurrency for their molecular data, aims to change the way we approach threats to human health, such as superbugs, infectious diseases, and cancer, among others.

Another player utilizing peer-to-peer networks and AI is Research, a decentralized search engine that’s powered by the community and rewards members with tokens for a more transparent search system.

And Affectiva’s Emotion AI is used in the gaming, automotive, robotics, education, healthcare industries, and other fields, to apply facial coding and emotion analytics from face and voice data.

It uses software to automate customer segmentation, customer data integration, and campaign management, and streamlines repetitive tasks, allowing strategic minds to get back to doing what they do best.

10 Artificial Intelligence Technologies That Will Dominate In 2019

This is raising concerns about the potential detrimental effects of AI on the job market, or even about the dangers of an AI singularity, where sentient robots take over the world and destroy humans.

Virtual Agent is an computer generated, animated, artificial intelligence virtual character (usually with anthropomorphic appearance) that serves as an online customer service representative.

By providing algorithms, APIs (application programming interface), development and training tools, big data, applications and other machines, ML platforms are gaining more and more traction every day.

And if you haven’t seen them already, expect the imminent appearance and wide acceptance of AI-optimized silicon chips that can be inserted right into your portable devices and elsewhere.

Deep Learning Platforms Deep learning platforms use a unique form of ML that involves artificial neural circuits with various abstraction layers that can mimic the brain, processing data and creating patterns for decision making.

Image Recognition Image recognition is the process of identifying and detecting an object or feature in a digital image or video, and AI is increasingly being stacked on top of this technology to great effect. Artificial intelligence can search social media platforms for photos and compare them to a wide range of data sets to decide which ones are most relevant during image searches.

AI and ML are now being used to move cyberdefense into a new evolutionary phase in response to an increasingly hostile environment: Breach Level Index detected a total of over 2 billion breached records during 2017.

Recurrent neural networks, which are capable of processing sequences of inputs, can be used in combination with ML techniques to create supervised learning technologies, which uncover suspicious user activity and detect up to 85% of all cyber attacks.

Startups such as Darktrace, which pairs behavioral analytics with advanced mathematics to automatically detect abnormal behavior within organizations and Cylance, which applies artificial intelligence algorithms to stop malware and mitigate damage from zero-day attacks, are both working in the area of AI-powered cyber defense.

Here are the 12 tech trends that will dominate business in 2018

In a Wednesday report, Forrester revealed the top 12 emerging tech trends that business leaders should consider adopting in 2018.

The report noted that while deep learning is in its early days for business use, it can be expected to aid with predictive analytics including fraud detection, customer churn analysis, and purchase propensity modeling.

Natural language generation implements machine learning, rules, and templates through AI to understand and imitate language verbally and through text, the report stated.

The report noted that businesswide networking fabric gives businesses the opportunity to weave network hardware, software, and other services that interconnect users, data, and applications together based on business policies.

Distributed ledger technology, like blockchain, is a software architecture for collaboration based on shared and distributed data across organization boundaries, the report stated.

The report stated that edge computing gives businesses the option to distribute application data and services where they can best optimize outcomes in a growing set of connected assets.

The business use cases depend on the industry, but the report stated that quantum computing could potentially be used for optimizing risk portfolios, setting prices, and building more advanced machine learning applications.

The report defines a digital twin as a model that uses both physical and digital data to represent a single thing's state and performance in its field.