Hungary has “done well” compared with other European Union member states in terms of digitalising its judicial procedures, Innovation and Technology Minister László Palkovics told the Digital Public Administration Summit held in Budapest on Tuesday.
Palkovics said digitalisation became inevitable amid the challenges of the coronavirus pandemic as a means to making the judicial system “accessible and transparent in the interest of protecting citizens and ensuring legal predictability”.
“Digital technologies and artificial intelligence are essential tools for ensuring the seamless operations of the judiciary,” the minister said.
According to the European Commission’s 2021 EU Justice Scoreboard, the community’s legal services became more accessible and more effective during the pandemic due to digital developments, he said.
Palkovics added that making court rulings available online increased transparency and helped clients better understand the legal environment, while it also increased consistency of court practices and data security. Citing the Scoreboard, he said that Hungary, Estonia, Lithuania and Slovakia offered the broadest access to court decisions online.
The innovation and technology ministry (ITM) and OTP Bank have partnered to build Europe’s largest supercomputer, minister László Palkovics told the Infoter conference in Balatonfured on Tuesday.
The partnership will see the ministry and OTP Bank develop a state-of-the-art artificial intelligence-based Hungarian language model capable, among other things, of managing phone banking operations in their entirety, Palkovics said.
The supercomputer will also be capable of applying the data inputted in Hungarian in a variety of other areas like education, research and development and the private sector, the minister added.
The ministry wants to give state institutions, universities and small and medium-sized companies the opportunity to make use of the computer, Palkovics said.
As regards the government’s recent measures related to artificial intelligence, he noted the establishment of the Artificial Intelligence Coalition in 2018 and the adoption of Hungary’s AI strategy in 2019.
Whereas digitalisation and artificial intelligence offer “the greatest opportunities of our time”, they also present huge challenges to judicial systems, Justice Minister Judit Varga said on Tuesday ahead of a conference of her Council of Europe counterparts.
Both private individuals and businesses rightly expect the authorities to provide fast and efficient services, the minister told journalists in Gödöllő, outside Budapest, ahead of the meeting held as part of Hungary’s presidency of the Council of Europe, adding that this is why electronic services must be expanded. Varga said
Hungary was “at the forefront” of the European Union in terms of digitalising its judiciary, as reflected by the European Commission’s judicial scoreboard.
Each EU member has its own solutions to challenges posed by digitalisation and artificial intelligence, she said. “But it’s important to establish minimum standards that will help when it comes to linking those systems” in order to ensure smoothness for citizens doing business in another country, Varga added.
Regarding controls over artificial intelligence in the judiciary, the minister emphasised the importance of data protection and fair treatment while “observing all high human rights guarantees”.
Areas in which “the human element must be retained” need to be identified, she added.
The Hungarian justice ministry is working to build a uniform registry of legal entities in order to improve the country’s judicial competitiveness while developing services available through mobile applications — “a certain m-government rather than e-government”, the minister said.
The conference is being attended by delegations of 38 countries and Marija Pejcinovic Buric, the CoE’s secretary general within the framework of the Hungarian Presidency of the Committee of Ministers of the Council of Europe which lasts until Nov. 17.
It could help keep educational institutions and hospitals safe by improving the efficacy of cleaning and reducing the time spent on sanitising public spaces.
According to Szeretlekmagyarorszag.hu, the intelligent robot was developed by the European Knowledge Centre in cooperation with ELTE-Soft, a non-profit owned by Eötvös Loránd University. Over 6 months of work has gone into its design, and the process is not over yet: its imaging system is currently undergoing further improvement.
“Our area of expertise is artificial intelligence and robot technology. When the pandemic hit, we got the idea to build something like this.
There were already some similar products on the market, but they all had issues: they were too heavy, too slow to charge, and too quick to use up battery power.
In addition, they were not completely autonomous either; staff was needed to operate them,” explained Tamás Horváth, the commercial director of European Knowledge Centre.
A ViroFighter robot disinfecting a room at a Hungarian clinic. Source: still from a video (ViroFighter, YouTube)
In contrast, the newly developed robot weighs 73 kg (50 kg if the battery is removed), allowing two people to lift it comfortably. Therefore, the cleaning of old, multi-storey buildings that lack elevators will not be a problem anymore. Thanks to the artificial intelligence operating within, it is capable of mapping a room on its own and determining the optimal pathway for disinfecting it as quickly as possible. It has already been tested at an accredited laboratory and on-site at various schools and hospitals. “Everybody is open to the idea,” said Tamás Horváth.
Concerning its efficacy, the robot can achieve a 6-log kill rate, meaning that it is capable of destroying 99.9999% of pathogens present, making it adequate even for hospital areas where the risk of cross-infection is high.
The UV-C light emitted by the robot needs to be beamed onto the same spot for a mere 10 seconds to obliterate viruses, reducing the time necessary to disinfect an average-sized surgical site to 10 minutes, instead of the 30-60 required when it is done manually. As an environmentally friendly alternative to chemicals and ozone, UV-C light has been used as a sterilising agent for many years, primarily in dental practices and pools.
The robot has one more useful function: it records all of its actions, producing a report of where it has been and when, which users will receive over e-mail. In the future, this could help determine where a certain person might have been infected.
Healthcare has changed dramatically in the last decades. Innovative technologies have modernized medical premises, instrumentation, and treatments. Healthcare workers have had to adapt rapidly to these changes. Clinics and hospitals should embrace all the emerging healthcare technologies. Otherwise, they risk becoming obsolete shortly.
For instance, the development of the medical actuator has been a great step forward. It has made possible the automation of many healthcare devices and procedures. But this is just one small part of all the technological innovations in healthcare. Some other technologies that have found an application in the medical industry include:
Artificial intelligence (AI);
Virtual reality (VR);
Augmented reality (AR);
Wireless sensors;
Robotics;
3D printing;
The advance of technology has led to some futuristic medical applications. Some people have even imagined some scary scenarios. In reality, there is nothing to fear about new technologies. To embrace these technologies more easily, healthcare workers must be familiar with them. Thus, this article reviews the modern technologies currently used in the medical industry. Let’s have a look.
Artificial Intelligence
This technology can change the way medical professionals design treatments and drugs. Powerful AI algorithms can analyze medical records and extract useful information. With such information, doctors can design personalized treatments.
Also, AI algorithms can extract information from large collections of clinical data. Scientists can devise more effective drugs with this information. We can find some examples of how AI can help to improve medical practice in the medical literature. Let’s mention a couple of them.
A startup company has used supercomputers to analyze databases of molecular structures. The goal was to find effective therapies against Ebola. Complex AI algorithms identified two drugs that could effectively tackle this disease. The algorithm showed a higher success rate than human radiologists. This technology can reduce the risk of misdiagnosis.
Virtual Reality
This technology has demonstrated its enormous potential as a training tool for surgeons. Using special software, surgeons can immerse themselves in a virtual environment. There, they can learn and practice different surgical procedures. This training method is much more effective than traditional training.
But it’s not only doctors that enjoy this technology. For instance, women viewing soothing virtual landscapes experience less labor pain. The same procedure helps to reduce pain in other cases. For example, patients can get relief from post-surgical pain by using VR visualization.
Augmented Reality
Unlike VR, augmented reality doesn’t immerse you in a virtual environment. Instead, some virtual elements are added to reality. This technology allows a user to visualize useful information in an instant. It is a great learning tool. For instance, students can use it to learn anatomy with great detail. There won’t be a need for dissections with this technology. Also, surgeons will be able to use AR to assist during surgical procedures.
Wireless Sensors
There is a trend toward making patients the point-of-care. Wireless sensors make it possible. These electronic devices can help a user to track different health parameters. In this way, a user can make informed decisions about their lifestyle and habits. What’s more, these devices can send this information to a smartphone. This would allow a doctor to check on the user remotely. Experts refer to this idea as telemedicine.
Robotics
There are many applications of robotics in the medical industry. There are surgical robots that can perform several delicate tasks during an operation. These robots are generally a mechanical arm with a camera and surgical instruments. The surgeon can control the robotic arm from a computer. On the screen, the doctor sees a magnified image of the area of interest. The use of surgical robots prevents complications like infections and loss of blood. Other applications include exoskeletons, disinfectant robots, and more.
3D Printing
This technology will revolutionize the medical industry in many aspects. Currently, it is possible to 3D print artificial limbs, blood vessels, organs, and more. Even the pharmaceutical industry is benefitting from this technology. For example, 3D printed pills can have several layers of different drugs. This approach can help the delivery of the drugs according to the therapeutic plan.
Nanotechnology
Researchers have successfully used nanoparticles for targeted drug delivery. This approach can make chemotherapy more effective and less aggressive. Ongoing research aims to develop nanodevices that can perform tiny surgical operations.
A bill submitted by the ministry of innovation and technology to lawmakers on Tuesday identifies the tasks of the national data assets agency (NAVU) and council and seeks to regulate national data asset management and protection in order to enable better and more secure utilisation of the country’s data assets, the ministry said.
National data asset management represents an key element of Hungary’s Artificial Intelligence (AI) strategy, the ministry said on Wednesday.
Data generated from state administration needs to be utilised more efficiently, and this requires developing an institutional system that can help the comprehensive use of national data assets while providing data services based on fresh analysis of state data, it added.
NAVU’s tasks will include operating a national public data portal, setting up and managing a national public data cadastre, processing and analysing anonymised databases and offering data analysis services to the government, markets and citizens, the ministry said.
Under the proposal, the agency will generate new data sets after contacting organisations that handle the relevant data.
In order to ensure the full protection of personal data, cooperating data managers will be obliged to properly anonymise the data they handle, the ministry said.
The proposal focuses on professional processing of large databases and does not affect regulations on access to data in the public interest, it added.
The national data assets council is to be established as a government committee comprising ministers whose portfolios are affected by data management, and its tasks will include developing directives and principles for the operation of NAVU and the government’s data utilisation policy.
Hungarian and Chinese government agencies fostering joint research and development projects have opened up the latest phase in funding, focusing on areas such as health care and digitalisation.
So far joint R and D projects have focused on biotechnology, materials science and energy, while the current call for bids builds on and complements areas where innovative solutions contribute towards handling today’s big challenges, Tibor Gulyás, a deputy state secretary for innovation said.
The specified areas are epidemiology, neuroscience, physics and artificial intelligence.
The National Office for Research, Development and Innovation (NKFIH) and its Chinese partner, the Ministry of Science and Technology, have been encouraging R and D cooperation based on a bilateral science and technology pact concluded in 2002, according to an innovation and technology ministry statement on Tuesday.
The latest tender finances Hungarian players that show promising joint initiatives with Chinese researchers and enterprises. Applications can be submitted by February 12, 2021.
A key aim of the government’s AI strategy is to boost the productivity of Hungarian small and medium-sized firms by employing AI technologies, the Ministry of Innovation and Technology (ITM) said on Sunday. The goal is to increase productivity by 26 percent over the next ten years.
The AI Innovation Centre will introduce SMEs to various technologies and help identify the appropriate suppliers. Consultants will be on hand to help firms implementing applications, and the centre will assemble ready-made packages while creating opportunities for businesses to learn from each other, the ministry said in a statement.
SMEs must be given the opportunity to test efficiency gains from AI risk-free,
it added.
The centre will be involved in basic research as well as applied research to ensure that research is in tune with market needs, the statement said. Business programmes and investment funds, as well as startups, will also benefit, it said.
Cross-border R and D projects will also be a key focus of the new centre’s activities, as well as attracting international AI research to Hungary, the ministry said.
In a joint development project with the American PRRS, Asura Technologies is launching a parking enforcement automation system to help identify drivers with unpaid parking fees.
Asura Technologies is a video analytics company established in 2017 in Budapest that develops AI-based vehicle recognition technology for parking, traffic, and security applications.
Currently, the company is working on a joint project with the company PRRS (Parking Revenue Recovery Services) to introduce frictionless parking enforcement automation in the United States where there is a growing demand for such technologies.
PRRS is a US-based company that provides parking enforcement and collection services to the parking industry. According to Promotions, there are over 400 parking lots in the United States under the supervision of PRRS.
Once the pilot phase is completed, the new system will be in operation in 10 parking lots in Denver from the beginning of October, but the plan is to have the system installed in over 70 locations in the US by the spring of 2021, including Cincinnati, Detroit, and Chicago.
As Máté Kiss Gy., CEO of Asura Technologies, says, together with their partner, the company is providing a pioneer solution in the United States,
and their goal in the middle term is to introduce this solution in Hungary and the rest of Europe as well.
Asura’s parking enforcement automation is assisted with cameras that are installed at the entrance and exit of parking lots, to identify vehicles by the licence plate. For outgoing vehicles, the system performs a query on the vehicle’s waiting time and payment status, and if there is any due payment, the system draws the owner’s details from the vehicle register to send out the automatically generated fine.
Asura’s technology has minimal installation costs and provides a potential solution for minimising the loss of revenue parking operators suffering from using insufficient systems. As Promotions writes, the method is also very convenient in that it does not require any personal interaction between the driver and the operator.
The main goal of the H2020 project is to develop a human-centred AI system that is capable of adapting to complex real-world environments and appropriately interacting in complicated social settings. HumanE AI researchers are coming from 12 European member states and 35 institutions across many scientific disciplines. Their current project also involves researchers from Eötvös Loránd University (ELTE), the oldest and largest university in Hungary.
Coordinated by DFKI (Deutsches Forschungszentrum für Künstliche Intelligenz), HumanE AI Net brings together top European research centres, universities and key industrial champions into a network of centres of excellence. HumanE AI aims to develop the scientific and technological foundations for artificial intelligence that is tailored to European needs as well as ethical, social, and cultural values. This requires innovations in numerous areas, such as Machine Learning, Computer Vision, Robotics, Human-Computer Interaction, Natural Language Processing and Conversational AI.
HumanE AI divided their core innovations into the following categories:
“Tools for enhancing human cognitive capabilities, channelling human creativity, inventiveness and intuition and empowering humans to make crucial decisions in a more informed way
AI systems that can intelligently interact within complex social settings and operative in open-ended environments
Enabling technologies for explainable, transparent, validated and trustworthy AI systems and
New approaches to embed value-based ethics and European Cultural, Legal and social values as core design considerations in all AI systems and applications.”
The European research network contributes to the development of robust, trustworthy AI systems that understand humans, adapt to human environments, and behave appropriately in social situations.
The current project places the new technological results in a broader social and ethical context and puts a great emphasis on the concept of artificial intelligence that understands, helps and empowers humans, writes ELTE.
With the help of augmented intelligence, researchers at Eötvös Loránd University supports the work of doctors and health care workers in the areas of diagnosis, monitoring and therapy. The main areas of application are post-traumatic stress disorder (PTSD), depression and autism in the field of psychiatry and the evaluation of medical imaging results in the field of radiology.
The participation of Eötvös Loránd University is coordinated by the Department of Artificial Intelligence of the Faculty of Informatics with the involvement of the Institute of Physics and Mathematics. Due to the complex software requirements of the interaction, several departments of the Faculty of Informatics are involved in the project. The Department of Physics of Complex Systems and the Artificial Intelligence Research Group of the Institute of Mathematics supports the work with their extensive research experience.
The H2020 project provides an outstanding opportunity for the researchers at Eötvös Loránd University to contribute to the implementation of European Artificial Intelligence strategy and collaborate with the leading European universities and industrial companies.
Hungary intends to harness the possibilities inherent in technological change and maximise the opportunities offered by artificial intelligence (AI), the minister of innovation and technology said on Tuesday, presenting Hungary’s AI strategy at the University of Debrecen.
The strategy prepared with the involvement of over 250 member organisations of Hungary’s AI Coalition and over a thousand experts identifies focus areas and highlighted projects, László Palkovics said.
Hungarian society and the economy need to be prepared on the basis of the strategy because “this technology is already here and we should try to use it”, he added.
He highlighted Hungary’s participation in the development of self-driving vehicles, saying that the country has already achieved much in this area, including the construction of a test track, launching educational-research programmes and setting up a research hub.
Among the areas that “simplify our everyday life”, he cited administrative tasks taken over by robot-like AI technology in post offices, government offices and bank customer services. AI is already also being used, for instance, to control irrigation in agriculture, he added.
Presenting the strategy alongside head of the AI Coalition Roland Jakab, Palkovics said
AI is expected to add 11-14 percent to Hungary’s GNP by 2030.
The organisational structure of the AI strategy will include setting up a National Data Assets Agency (Navu) in Budapest and installing new supercomputers at the University of Debrecen for data analysis, he added.
An AI National Laboratory has been set up, and Hungary wants to use this to get involved in more global research projects in the future, he said.
Hungary has joined a Finnish initiative that has a target of getting at least 10 percent of society to gain an understanding of AI. Around 100,000 people will receive training in new technologies as part of the scheme, he added.
Jakab said the details of the strategy will be available at ai.hungary.com.
The colourisation of monochrome images is usually a meticulous process that requires specialised training and expensive software; however, the latest technological advances allow people to bring history to life within a few seconds and see the world with the eyes of our great-grandparents or great-great-grandparents.
The idea of adding colour to a monochrome image dates back to the beginning of photography. Early black and white photographs and postcards were coloured by hand with varying results as the colours and shades chosen were not always true to life, 24 wrote. In the 1880s, a Swiss chemist Hans Jakob Schmid invented the photochrom process that allowed for the production of vivid colour photographs approximately 50 years before colour photography was generally available.
Keleti pályaudvar on a postcard from 1912 Photo: Wikimedia Commons
In the second half of the 20th century, these techniques were replaced by different computerised methods and automated colourisation technologies.
The photos of Budapest Colourised illustrate the magical process of bringing monochrome photographs to life with the help of artificial intelligence.
The Hungarian blogger transforms photos from the copyright-free and community-based photo archive Fortepan and posts the unique images on Instagram. We have gathered some of the best photos:
Artificial Intelligence has been pretty much officially recognized as the focus technology of the majority of the world in 2019 and 2020. The sheer amount of growth that this tech sector went through last year and the plans that multiple tech companies are building for it in 2020 are sometimes impossible to imagine.
However, when it comes to AI taking its place within a governmental organization or in government space it’s obvious that the biggest users are currently in the Eastern part of the world. This includes countries like China, South Korea, and Japan.
However, European countries have started to look at technology as a perfect way to upgrade their performance in the future.
Estonia has definitely been looking into this innovation for the past couple of years with Finland, the UK, and France following suit.
When it comes to Hungary though, the country saw its first AI organization in 2018. In November of that year, the AI coalition was created that was tasked to find ideal industries and sectors to implement this technology. As of right now, the coalition is mostly considering the implementation of AI into government sectors in order to speed up and improve their agencies.
But it can’t be denied that this technology needs to touch the Hungarian private sector as well.
The entertainment industry stands to benefit
When it comes to the private sector, Hungary has already seen AI at work in a couple of its largest corporations. Waberer and Praktiker are the first to come to mind in this case as their implementation of this technology have been exceptionally successful.
These two corporations are nothing but proof that AI can work in Hungary, but where?
Looking at the world’s use of technology it becomes pretty safe to say that the best place to take this innovation is the entertainment industry.
Just looking at countries that are just now starting to embrace these innovations, it can’t be denied that video games, streaming services, and other entertainment sectors are the heaviest users.
A primary example of this is the iGaming industry in Australia, which is now starting to unilaterally switch their customer service and main value source to AI. Simply taking a look at online slot games in Australia is already enough to understand why people like the innovation so much as well as the corporations themselves.
The main reasons include the faster approach to things such as customer support, access to games and, of course, HR cost reduction.
Considering that Hungary has an up and coming entertainment industry due to all the tourists, it’s a perfect opportunity to merge AI into it.
Speaking of tourism…
The tourism industry
Hungary’s tourism industry seems to be flourishing due to the relatively more budget destinations that the country can offer.
Budapest has always been a Summer hotspot for most people, but it is quickly becoming an off-season, Winter destination as well due to lower prices and more available spaces in local hotels.
However, the growth of the number of tourists means that the growth of hotels, destinations, guides, and various other utilities needs to be guaranteed as well. Unfortunately, this is very hard with the limited manpower that this industry has in Hungary.
Luckily for all tourist companies, there is more than enough space for AI to take over the costs as well as the responsibilities of helping tourists get accustomed to the local culture as well as discover all the locations they’ve come to see.
Everything can include AI
These two industries may have been very specific, but it does not mean that they are the only options for Hungary. AI can be used literally everywhere, starting from agriculture and ending with space engineering.
The versatility of the technology cannot be denied, and neither can the willingness of Hungarians to use it.
Hungary has prepared its Artificial Intelligence Strategy which addresses technical and human-sciences issues emerging from the evolution of AI, the innovation and technology minister said at Pannon University, in Veszprém, on Monday evening.
Artificial Intelligence raises a number of moral and social questions, one of which is to what extent will it overwhelm natural intelligence, László Palkovics said.
AI is emerging as part of the creative industry, and this raises the question of whether it should be considered a threat or an opportunity, the minister said.
“AI allows people to spend time on things with which they can create more value-added,” he said.
AI can be used in many areas from face recognition, health checks, polygraph tests, X-rays, noise indication of agricultural machine defects and self-driving vehicles to composing music and writing poems, he said.
Talking about AI’s use in transport, Palkovics said it would help to eliminate human error and spare time and fuel.
Further, Palkovics said AI will also become widely used in some professions and in state services.
“By 2030, Artificial Intelligence is expected to have contributed 14 percent, or about 7,000 billion forints (EUR 20.9bn), to [the country’s] GDP,” the minister said.
The Artificial Intelligence Strategy has been prepared by more than 200 institutions and companies, he said. It covers changes to data laws, the creation of a national laboratory, incentives for companies, research and development, training, infrastructure development and automatised administration in areas such as health care, as well as ethical and legal issues to be addressed.
Once approved by the government, the strategy will be posted on its kormany.hu website, Palkovics said.
New Zealand Police is modernizing its services by unveiling its first Artificial intelligence (AI) officer on Wednesday.
New Zealand Police Commissioner Mike Bush revealed the AI officer Ella. “Ella is a digital person that is powered by AI and uses real-time animation to emulate face-to-face interactions,” said Bush.
Ella, which stands for Electronic Lifelike Assistant, is part of two new digital kiosks the New Zealand Police has designed to help reduce queues in stations and to provide a modern way to connect with the public.
Ella will be stationed in the lobby of New Zealand Police’s National Headquarters from next week assisting the concierge team and talking to visitors about Police topics such as the 105 non-emergency number and police vetting.
Touch-screen electronic service points called Police Connect was also revealed on Wednesday, which will provide basic non-emergency services to the public 24 hours a day.
Ella and Police Connect show how Police is embracing and exploring digital technologies to develop future-proofed and people-focused non-emergency services accessible to everyone in New Zealand.
“We’re very much just starting this journey, as Police Connect, Ella and other modern digital technologies present many more exciting opportunities for us to provide new and improved policing services”, said Bush.
New Zealand Police’s AI officer is part of an AI programme with a budget of 685,000 New Zealand dollars (442,990 U.S. dollars). This includes technology and external services to develop the AI engine and the digital person avatar. (1 New Zealand dollar equals 0.64 U.S. dollar)
Machine learning, as the name suggests, refers to teaching machines to “think” and improve. This is achieved through software that allows machines to learn by exposing them to new data. These machines perform tasks, not by being programmed, but as a result of the patterns they learn to discern from existing data. Machine learning falls under the umbrella of Artificial intelligence.
Machine Learning is now widely used in the IT industry serving various real-world applications. New age learners are keen to learn the technology by enrolling in machine learning course.
What is Artificial Intelligence
Check out the video to understand the Artificial Intelligence.
Sectors where ML has created an impact and why companies are adopting it
Machine learning has been adopted into many industrial sectors, with drastic impact. This article is about the application of machine learning in the defense sector. However, before we move to that, below mentioned are other sectors that have benefited from machine learning:
Education
While human teachers still have a place in the classroom, the use of technology to enhance the learning experience is very much a reality for today’s students. However, even the most dedicated teacher cannot give undivided attention to all his/her students. As long as a school has access to computers, tablets, and the internet, they can use machine learning to complement their teachers’ work in the following ways:
Learning plans can be customized to each students’ needs and style of learning.
By collecting and analyzing a student’s work, machine learning algorithms can identify learning disabilities
Generating relevant assignments and tests by sifting through the countless study material.
Guiding students through the learning process and giving feedback.
With machine learning, student/teacher ratios will cease to be a concern as each student will receive a quality education and undivided attention.
Healthcare
Some applications of machine learning in healthcare include:
Use of computers to compare symptoms against a vast database of possible diagnoses, leading to faster diagnoses and accuracy of treatment.
Use of robo-doctors, such as the Da Vinci, to assist in surgical procedures, greatly reducing the margin of error.
Use of predictive and cognitive analytics to identify “at risk” individuals and give them preventive care before they develop a disease like diabetes.
Providing follow up care at home using wearable gadgets.
Financial Services
The financial sector has over the last few years experienced a wide adoption of Machine learning and AI. This is because the finance sector is high risk, deals with a lot of data and its operations demand accuracy. Machine learning algorithms tackle all three problems: machines can sort through a large set of data faster than a human, they are more accurate, and, hence, they minimize risk.
Some use examples of machine learning in the financial sector include:
Vetting customers during the loan application process
Using Robo advisors, for example, Wealth front or Best Robo Advisors, to manage investment portfolios and recommend “hot” investment opportunities to customers.
Customer service and query handling.
Fraud detection by monitoring and detecting unusual transactions.
Transportation
The self-driving car is the most widely recognized use of machine learning in transportation. Waymo, which began as Google’s self-driving car, is equipped with software and hardware designed to learn the environment and driver behavior.
Uber is also in the process of developing self-driving vehicles, while Tesla already fits its vehicles with an autopilot that allows the car to self-drive. The autopilot feature is especially useful for navigating difficult weather conditions.
The impact of Machine Learning in the defense sector
Machine learning has created quite an impact in the defense sector, particularly in the military. This is in areas such as
Military intelligence
Modern warfare is becoming heavily reliant on AI and machine learning. Unlike conventional systems, machine learning software can process a lot of data. This improves the decision making and accuracy of combat systems.
Governments that adopt machine learning in their military sectors will have an edge in warfare scenarios. China and the US are the most prominent of AI and machine learning for military use. In 2017, the US Department of Defense spent $7.4 billion on AI and Big data. China has also made huge investments and is projected to be the leading AI nation by 2030.
Weaponry
New warfare systems and weapons now come embedded with AI, making them more efficient and less dependent on human operation. This has also resulted in more synergy of operations and systems as well as reducing the maintenance needed for equipment and weapons.
Cybersecurity
A cyber-attack on military facilities can result in the loss of highly sensitive data and cause damage to military bodies. The use of machine learning in military facilities helps to prevent these types of attacks, by protecting networks from unauthorized intrusion. By relying on established patterns, security systems can preempt attacks and develop countermeasures.
Transportation
An efficient transportation system is important for success in the military. Ammunition, food, weapons, troops and other goods need to get to their destination on time and in good condition. Integrating machine learning into the military’s logistical process will reduce human effort, minimize errors and exemptions, leading to shorter lead times, and detect anomalies faster.
Target Recognition
Combat environments are complex. Terrains, weather conditions, and enemy behavior can make target recognition difficult. Machine learning techniques can assist in such situations by analyzing geographical data, news feeds and intelligence data, to give a better understanding of the target. For instance, DARPA’S TRACE program relies on machine learning to identify targets using radar.
Battlefield Healthcare
In 2018, the University of North Carolina received a $1.6 million grant from the US Department of Defense, like funding for a project meant to develop machine learning and AI solutions for handling injuries in combat situations. The system will analyze data and predict the skills and patient care techniques that apply in a particular scenario. Having such a tool to guide decision making will ensure each outcome is the best possible one.
Combat Training
The military uses computer-generated environments to train their personnel. For these simulators to be effective, they have to create realistic conditions and also be adaptive. This means that they have to adapt their behavior to accommodate a variety of situations.
This is achieved through reinforcement learning, where virtual or human agents learn by receiving reward or punishment signals after performing certain actions. This approach helps to improve combat training for virtual agents and human soldiers.
Threat Monitoring
Intelligence and reconnaissance missions are important for threat awareness. For stealth purposes, defense bodies have taken to using unmanned systems such as drones. These are fitted with software that allows them to identify borders, recognize potential threats and report or mount an attack. Drones are especially useful in remote areas.
https://www.youtube.com/watch?v=YJB3RpKZ8fs
Conclusion
As industries and governments continue to invest in getting certification in machine learning courses, there will be a lot more machine involvement in tasks that are repetitive, tedious or threaten human lives. For the defense sector, this will mean higher security within, and outside borders, a high conviction rate for crime, and, for the military, soldiers will no longer need to put their lives in danger unnecessarily.
The program developed at the Semmelweis University’s Heart Centre can foresee what kind of treatment or surgery a patient is going to need.
The software tells the probability of death in the case of patients suffering from heart diseases, szeretlekmagyarorszag.hu reported. The artificial intelligence behind the program does a risk evaluation and calculates the chances the patient has of surviving after their pacemaker is implanted. It only needs the medical data of the patient ranging from their weight to their blood sugar or EKG data. Based on these, it can calculate when the risky phase will come and warns the doctors or the hospital.
Therefore, the patient can receive proper medical treatment in time. Dr Béla Merkely said that they can save thousands of lives with the software developed at the clinic. Dr Márton Tokodi, one of the developers, said that they designed the program using their experiences and the data of their patients so
it can serve as a decision-helping tool for the doctors.
Since the program monitors the state of the patient 0-24, it can mark when there is an urgent need for intervention with, for example, new medicines. Furthermore, it can help draw up the medical future of each patient for 5 years so it is a good basis for long-term treatments. In the prestigious European Heart Journal, the designers already published a paper about how the system works, in which they highlighted that the system has already been used in the case of 40 people, but they want to ease the life of at least 500 patients per year.
U.S. leading chip manufacturer Intel Corporation has acquired Israeli artificial intelligence (AI) company Habana Labs for about 2 billion U.S. dollars, both companies announced Monday.
Habana Labs is an AI processor company founded in 2016 and headquartered in the coastal city of Tel Aviv.
After the acquisition, Habana will remain an independent business unit and will continue to be led by its current management team.
“The combination strengthens Intel’s AI portfolio and accelerates its efforts in the nascent, fast-growing AI silicon market, which Intel expects to exceed 25 billion dollars by 2024,” Intel said.
“We are excited to partner with Intel to accelerate and scale our business. Together, we will deliver our customers more AI innovation,” said David Dahan, CEO of Habana.
Intel Corporation, founded in 1968 and headquartered in Santa Barbara, California, is traded at Nasdaq with a market cap of about 254 billion dollars.
