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Computer vision, Machine Learning, and Supervised Learning; An In-depth Understanding towards AI

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Artificial Intelligence (AI) and robotics is a power back combination to talk about, particularly for automating tasks inside and outside of the factory setting. Understanding the performance of AI in recent years, AI has transformed increasingly in robotic solutions, introducing flexibility and learning capabilities in rigid applications.

AI is considered as a transformative technology for some applications in the manufacturing sector, although there are many that a lot to feel the impact.

When it comes to AI, the understanding of people has become crucial when they hear about artificial intelligence. But AI technology which is considered as a necessity for any size of an enterprise is often misunderstood, and key factors of machine intelligence are easy to overlook.

The critical visionary of AI is inventiveness like any other technology we can experience today. AI is an effective combination of related technologies such as computer vision, supervised learning, and machine learning. These technologies efficiently allow companies to automate tasks at a bigger scale to let the workflow remain constant and scalable.

“There are a lot of real risks to AI like job displacement, new ways for humans to be bad to other humans, and more advanced weapons,” reported CNET senior editor Stephen Shankland.

Moreover, AI is already in use in our home, workplaces, and the world at every possible required corner. In the near future, AI will be encountered in devices like Amazon’s Alexa, Apple’s Siri, and Google Home. This versatile driven technology is excelled to smart interactions and not just individual intelligence. Moreover, they are supremely designed to be assistants, guides, and memory with extensive storage capacity.

Automated smart interactions are generally powered by algorithms that are learned by processing massive piles of data. The process allows AI to adapt to ever-changing real-world conditions. The process is believed to be supervised learning, and it is used in emerging technologies like self-driving cars, electric vehicle and more.

“ A self-driving car knows how to avoid a pedestrian and knows how to stay in a lane because humans have sat down with images taken from the front of these cars. This is a human, this is a lane that marks the edge of the road,” asserted Figure Eight CTO Rob Monroe. He further added, “It’s these thousands and thousands of hours of human feedback that ultimately enables a self-driving car to be trained to automate the task of driving.”

Covering every sector, AI is upbringing significant developments in healthcare and medicine. Using computer vision, AI allows identifying pictures and symbols. Now, machines are able to provide physicians radiologists information which is important for diagnosing dangerous heart conditions, brain problems, and lung cancer.

“Normally a radiologist has to be highly trained to look at the organ, and spend a lot of time sometimes just drawing contours by hand, like the ventricles or the atrium, we are working on automating that process, and it’s really a quantum leap because the system can propose a suggestion to the physicians,” said Fabian Becker CEO of Arterys.

AI is the only technology which can be seen in every industrial sector. The agriculture industry is also grasping potential benefits from machine learning and computer vision AI systems. Farmers mostly use machine intelligence to recognize weeds, optimize planting duration, and select fields. Algorithms screen through piles of climate data and differentiate between crops and weeds using databases loaded with thousands of images.

“Our database is now close to a million images, across many different farms in many different geographies.” The company’s AI-enabled machine is easy to deploy, runs at speeds up to 12 miles per hour, and can be towed behind a tractor. “It looks at every single plant 50 times per second” and determines a crop or weed, then applies herbicides only to the weed and nowhere else,” said Jorge Heraud, CEO of Blue River Technology.

Artificial intelligence is easily misunderstood because AI is tied to the way our brains work and how we think, said Amy Webb.  “Philosophers, mathematicians, and theologians have for centuries been trying to figure out the relationship between mind and machine. Even MARVIN Minsky and John McCarthy knew that the moment that technology becomes indispensable it becomes invisible.”

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5G will pace up Industry 4.0 in the Middle East and Africa

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5G

The arrival of industry 4.0 is going to ignite an exceptional wave of innovation in the Middle East and Africa (MEA). This industry combines operational, information and communication technologies with cyber-physical systems, facilitated by advanced wireless communication and industrial Internet of Things (IoT) services. This digital and wireless revolution will be powered by 5G networks, which have the probabilities to impel economic growth in the region like no previous generation of mobile technology.

For example, in the Middle East and Africa, the security, high speeds, low latency and a massive number of connections in 5G networks will prop up the smart city and agriculture alteration in many countries. Thus, new revenue streams will be come out from IoT and industrial applications, and speed up digitalization.

Agriculture 4.0 will mainly renovate both the demand side and the value chain/supply side of the food-scarcity equation, and take the help of technology to deal with the real needs of consumers.

The UAE already has started using the SCADA system, which unites current, real-time data from weather stations with data from soil moisture and salinity sensors. Besides this, IKEA, David Chang and the ruler of Dubai have spent $40 million in vertical farming. Similarly, other Arab countries are also giving stress to expand their agriculture highly, and performing experiments with various new technologies.

The Middle East and Africa region is also the world’s largest hub for mineral mining (diamond, phosphate, gold) and for oil and gas excavations. 5G is the best domain choice of IoT connectivity for these industries.

Use of 5G in the Middle East

In 2019, Ericsson will start the commercial use of 5G with operators in highly developed markets like the UAE, Saudi Arabia, and Qatar, and this will get important traffic volumes by 2021. Ericsson was just selected by Batelco to install 5G commercially across Bahrain, and we announced 5G commercial launches with Etisalat, STC, and Ooredoo at Mobile World Congress 2019. According to the Ericsson Mobility Report MEA, all major service providers in the region are moving positively to launch 5G commercially. Several regional start-ups including Fetchr, Souq, Careem, and ReserveOut have been working successfully, and some others have had a strong impact on the market.

Increased network capacity, lower cost per gigabyte and new use case requirements are the main drivers for immediate 5G deployment. The bulk of the 5G subscriptions in the MEA are likely to come from highly developed ICT markets like Saudi Arabia, UAE, and Qatar, but in Africa, significant momentum is taking the shape in South Africa.

The MEA region’s telecom market is considered by increasing uptake of LTE. The region will be the leader in the globe with an estimation of 9x mobile data traffic growth (1.8 to 17 EB/month from 2018 to 2024) and see a doubling of mobile broadband subscriptions (850 to 1,630 million from 2018 to 2024), according to Ericsson Mobility Report MEA.

The exponential role of troublesome technology in climate action

Besides recovering efficiency and reducing cost, digitalization and IoT have wide human inferences. Today, nobody can underestimate the advantages of IoT. It is helping us in getting smart homes, power grids, connected transport systems and many more; as a result, our personal lives becoming safer, healthier and greener.

Combination of ICT with a well-integrated corporate sustainability strategy can help undertake a variety of global challenges. When the digital sector is trying to reduce its own productions, representing just 1.4% of the global total, it is still in a distinctive position to persuade other sectors.

Social and technological innovations are already showing their dimensions. For example, shared and “on-demand” transportations of more energy-saving electric vehicles could lessen the global energy requirement for transport by more than 50% by 2050, with decreasing the number of vehicles on the road.

Similarly, adoption of circular-economy approaches has the possibilities to reduce global emissions from industry by 45% by 2050. Heavy industries like steel, aluminum, cement, and plastic production can reduce emissions by 50% in all over the world by using current technologies and efficiencies.

5G is the stamina which can craft it all work, not only in the Middle East and Africa but also all over the world, driving economic value from improved mobile broadband to digital industry to survive climate change. In sequence, that will need an environment of technology, regulation, security and industry partners to convey on the potential.

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FSS Launches ‘FSS Voice Commerce’: The Next Wave Of Friction-less Banking

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FSS (Financial Software and Systems), a global payments technology company, has launched FSS Voice Commerce, a real-time voice banking platform that offers customers, meaningful, contextual and personalized banking interactions. Enabling banks to deepen customer engagement via conversation-led banking and deliver interactive service experiences to its customers, FSS Voice Commerce is set to take friction-less banking to the next level.

FSS Voice Commerce uses machine-learning language processing techniques for analysis and synthesis of language and speech to deliver personalized service experiences. Furthermore, with ML capabilities embedded into the solution, consumer patterns will begin to emerge and result in insight-led banking and personalized customer experiences. At the backend, FSS Voice Commerce interfaces with any retail banking system to provide real-time information of accounts and balances, thereby enabling delivery of a unified and seamless omni-channel banking experience.

FSS Voice Commerce supports an extensive set of 200 transactions, enabling seamless 24/7 secure access to a broad range of financial banking services such as fund transfers, bill payments, card controls and non-financial transactions such as service requests, like ordering for a cheque book, new credit / debit card and loan request.

Instances of use-cases include:

  • Drive Sales: Based on the recommendation engine and by transaction analysis, banks can craft a personalized offer to customers. E.g. special interest rates for fixed deposits, eligibility for personal loans etc.
  • Customer Support: Instead of customers reaching out to support centres of the banks to raise the services request, the customer can just log in to Alexa to raise the service request which will land on the bank CRM system to facilitate the customer request.
  • Lead Generation: Generate customer interest towards respective banking products/offers/cash backs through an advertisement.

All financial transactions initiated are completely secure. FSS Voice Commerce supports out-of-band multi-factor authentication including one-time passcodes and biometrics, to maintain the integrity of the transaction ecosystem and prevent fraud.

Speaking at the launch, Suresh Rajagopalan, President FSS, Retail Payments, said; “Voice is fast becoming a preferred medium of transaction among digitally connected customers and millennials. FSS Voice Commerce extends an all-encompassing personal assistant that can enable customers to conduct banking transactions as well as shop and make payments. The intersection of voice and commerce will provide banks a powerful new way to embed themselves deeper into their customers’ lives and deliver contextualized services experience tailored to their lifestyle.”

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India Needs Human-Centric Artificial Intelligence To Reduce Fake News

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Fake News

Currently, when the social media giants struggle to control fake news prior to the Lok Sabha polls in India, an Indian-origin tech junkie is not happy with this and according to him, the nation needs better human-centric Artificial Intelligence (AI)-based solutions to fight the escalation of wrong information. Lyric Jain, a 22-year-old Cambridge and MIT graduate, says social media platforms and other stakeholders, including the government, may design solutions to fight fake news but there will be anomalies, as is with the case with any technology.

Jain told, “India needs to prepare better as the stakes are high. Facebook is taking the problem of fake news seriously but there are many other digital platforms that aren’t working towards that direction.” Depicted by Jain, Logically has been developed by a varied team of data scientists, coders, designers and journalists.

Addition of a layer of reliability to the Internet to battle wrong information, the Logically platform works as a real-time, user-friendly filter, guaranteeing users can quickly consume information that is fair, authentic, credible and trusted (FACT). “News isn’t just limited to media houses anymore. The idea is to create ‘responsible sharing’ among people,” said Jain. “Logically will analyze whether the information is fake or not, even if the information is being provided by a well-known journalist from a credible publication,” he added. When asked how the technology works, Jain replied: “It is a human-centric AI effort”.

Further Jain added – “We then combine these indicators and conclude whether the news is credible or not. Also, our human fact-checking team complies with the international fact-checking standards.”

Jain told that the fake news and political debate about Brexit and 2016 US Presidential elections compelled him to launch the platform.

According to Jain, during the approaching Indian General Elections, Logically will try its best to monitor the information flow with its deep learning algorithms and web graph of several websites from top publishers across the globe. The tracing of these websites leads to the identification of top quality sources of trending and quality news per category along with queries and articles.

Additionally, Jain asserted – “Logically will look for information that is misleading, distorting or interfering with the elections”

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