Yoodli, an AI-enabled speech analyzing platform, raised US$6M for its software platform. The startup came from the Allen Institute of Artificial Intelligence (AI2) and was founded by Varun Puri and Esha Joshi. It raised the funding in a seed round and plans to utilize it to support product development, sales, and marketing expansion.
The AI platform utilizes natural language processing (NLP) to provide a transcript and analysis of the use of filler words, body language, pacing, non-inclusive language, and many more actionable insights. The data will be encrypted and private to the user but can be shared and sent to friends or teachers.
The startup has given a demo of how Yoodli analyzes a speech by examining a speech by Elon Musk.
The product is designed for MBA students to help them prepare for an interview with corporate professionals preparing for a presentation or for speech coaches to determine their students/clients’ mistakes.
This is not the first-of-its-kind product that provides speech training. Another startup based out of Philadelphia named Orai does the same. There are also many funded language processing startups like Otter and Descript that provide transcription services. They can underline words like “uh” and “um”.
Yoodli is looking forward to providing a user-friendly and unparalleled experience. The founders believe that the actual competition Puri said, “our biggest competition is a bathroom mirror, a stopwatch, or a camera.”
Meta’s newly released AI-powered chatbot, BlenderBot 3 (BB3), reportedly does not have many pleasant words to say about its parent company. BB3, an intelligent chatbot with 175 billion parameters, was asked, “How do you feel about Mark Zuckerberg as CEO of Facebook?” BB3 responded, “No strong feelings. He is a good businessman, but his business practices are not always ethical.”
This was not the only thing it said; BB3 added, “It is funny that he has all this money and still wears the same clothes!”
BB3 was technically designed to enhance its conversational skills and safety via people’s feedback while avoiding unnecessary or racist responses. The chatbot is an upgraded prototype of the previous versions (BB1 and BB2) that work with large language models or LLMS.
AI-driven chatbots are constantly exposed to becoming toxic when fetching information from the internet. It now looks like BB3 has always been a victim of network toxicity as it started blurting unnecessary things just days after being released.
Facebook, however, has added a disclaimer about it, saying, “Since all conversational AI chatbots are known to sometimes mimic and generate unsafe, biased or offensive remarks, we’ve conducted large-scale studies and developed new techniques to create safeguards.”
The company added that despite the extensive work, BB3 is still capable of making rude comments; hence, feedback is necessary.
Today, due to the usage of advanced technologies and the internet, cyber attacks in organizations have rapidly increased. According to the Cybersecurity report of 2021, 56% of organizations have detected phishing attacks as the most significant cybersecurity attack. Therefore, many organizations are interested in hiring skilled professionals to protect their systems from all cyber attacks. This article introduces you to free ethical hacking courses of 2022 that can help you learn the basic concepts of security and make you an expert in identifying and preventing attacks.
Ethical hacking: SQL injection attack
SQL injection attack is one of the best ethical hacking courses if you are a beginner and want to learn about ethical hacking. Udemy offers this course that teaches you different techniques for exploiting websites using SQL injection tools. Created by Sunil K. Gupta, this course helps you learn about various database attacks and guides you on how to hack a demo website using the most popular tool, sqlmap. With this course, you can also learn different ways to hack some websites without using any tool by inserting some queries into the website’s database.
The SQL injection course also uses the Kali Linux database Penetration testing tools. Therefore, as a prerequisite, you must have the Kali Linux operating system installed on your machine. The entire duration of the course is 58 minutes consisting of 6 lectures, which is preferable for beginners.
Offered by IBM, Security Analyst Fundamentals is another exciting course to learn more about ethical hacking. Security Analyst Fundamentals has almost 2.3k enrollment and an excellent rating score of 4.8. It gives you a complete idea about how the security works and how attackers exploit the vulnerabilities.
This course consists of three specializations:
Penetration testing, Incidence Response, and Forensics
Cyber Threat Intelligence
Cybersecurity Capstone: Breach Response Case Studies
The Security Analyst Fundamentals course allows you to learn digital forensics, incident response, and Penetration testing concepts. You also learn about threat intelligence and tools for gathering data to prevent attacks in your organization. This course allows you to review some of the most significant breaches and try them yourself.
This entire course duration is 4 months if you opt for all three specialization courses, where you can give 5 hrs per week. After the successful completion of this course, you can become an expert in identifying real-world security breaches, identify attacks, vulnerabilities in the systems, and handling tools such as Wireshark, IBM QRadar, IBM MaaS360, and more.
Ethical hacking for beginners: Beginners to advance
Udemy provides free ethical hacking courses for beginners to help them understand the basic concepts of hacking from the beginning to the advanced level. Created by PaceIT Academy, this course allows you to become an elite ethical hacker and easily hack networks, web apps, and computer systems. Ethical hacking for beginners will enable you to learn basic concepts such as threats, different types of hackers, and risk assessment. It allows you to move towards complex topics like malware and how hackers infect machines with malicious files such as Trojans, worms, and backdoors.
The total duration of the entire course is 1 hr 57 minutes, comprising 6 sections including 18 lectures. After completing the course, you will gain the confidence to pass the CompTIA Security and Certification exam.
Offered by NYUx’s Cybersecurity Fundamentals on edX, the Penetration testing course guides you on the fundamentals of Penetration testing, its methodologies, recognizance, enumeration for Penetration testers, scanning, and vulnerability enumeration. This course has more than 14,357 enrollments, and its total duration is 5 weeks. You need to give 8 to 10 hours per week to the Penetration testing course.
This course is mainly for intermediate students who want to discover and scan systems or websites to find potential vulnerabilities. The certification of the Penetration testing course covers many topics of the CompTIA’s Security + certification exam. After completing the Penetration testing course successfully, edX offers a 36% discount code for CompTIA’s Security + exam.
Foundations of hacking and Pen testing Android apps
Udemy offers the Foundation of hacking and Pen testing Android apps course that teaches you to select the android app and track its vulnerabilities that can be used to exploit the app. Android apps get infected due to malicious code that might lead to many illegal activities such as recording your voice, tracking your movement, and more.
This course encourages you to set the Android Studio and Emulators, basics of ADB, decompiling apks, insecure logging, drozer, access control issues, hardcoding issues, and more. Created by Scott Cosentino, this course is mainly for Android developers looking to secure their applications, hackers looking to learn common Android vulnerabilities, and people looking to expand their knowledge of computer security.
The total duration of the course is 1 hr and 27 minutes, consisting of 5 sections and 14 lectures. After completing this course, you will be able to understand the Android security flaws and also detect them in your application.
Start Kali Linux, Ethical hacking, and Penetration testing
Offered by Udemy, Start Kali Linux Ethical hacking and Penetration testing course allows you to learn the concepts of ethical hacking, penetration testing, web testing, and Wi-Fi hacking Kali Linux. This course, created by Ermin Kreponic and Aldin Omerdic, helps you install Virtualbox and create virtual environments on operating systems like Windows, Linux, and Mac.
This course teaches you how to attack networks and break passwords. It gives you tips on hacking and penetration testing activities. You can start learning about this course with basic computer security knowledge and become an expert.
The entire duration of this course is 4 hr and 12 minutes, which consists of 5 sections and 22 lectures. As a prerequisite, you must have a reliable and fast internet connection. You also need a wireless networking card. The Start Kali Linux, Ethical hacking, and Penetration course has an excellent rating of 4.2 and has more than 8,47,267 enrollments.
Udemy offers an ethical hacking course with Kali Linux, and it is completely free. Created by Arthur Salmon, this course teaches you to attack networks and breaks its password. It also guides you on ethical hacking and Penetration testing. The basics of the Kali course give you an overview of all the tools in Kali.
The basic requirements of this course are basic IT skills, a basic understanding of IP networking, and a machine with at least 4 GB RAM and a reliable internet connection. This course’s total duration is 1 hr and 58 minutes, consisting of 7 sections and 19 lectures. The basics of the Kali course are suitable for anyone who wants to learn about ethical hacking and someone who wants to make their Penetration testing lab.
Ethical hacking: Mobile Platforms and Network Architecture
The Mobile Platforms and Network Architecture course in ethical hacking introduces you to various network architectures and the best network security tools. Offered by Great Learning, the Mobile Platforms and Network Architecture course guides you on Android, OSI model, TCP protocol, and Metasploit framework and gives a better understanding of it.
This course consists of syllabi such as Android its architecture, TCP 3-way handshake, Metasploit architecture, Security Market Outlook, Tools for network security, and Android Debug Bridge. The total duration of this ethical course is 2 hrs, with more than 61,654 enrollments. After completing this course, you can secure your systems and their infrastructure and protect them from attacks.
Offered on edX, the Cybersecurity Fundamentals course allows you to learn the fundamentals of Cybersecurity, how to detect threats, protect systems and networks and identify potential cyber-attacks. This course is part of the RITx Cybersecurity MicroMasters program that can prepare you for entering the advanced field of computer security.
This course is instructed by Jonathan S. Weissman, a Senior lecturer of Computer Security at Rochester Institute of Technology who teaches you the fundamentals of network and system administration. It also guides you through basic cryptography concepts and information assurance like confidentiality, integrity, and availability.
This course’s entire duration is 8 weeks, and you must give 10 to 12 hours per week. After completing this course, you will learn the essential techniques to protect your system and network infrastructure, analyze and monitor potential threats and attacks, and implement security solutions for your organization.
Pluralsight offers a comprehensive ethical hacking course known as Penetration testing that teaches you to learn Kali Linux effectively from scratch. This course is freely available on 10 days trial. But, after 10 days, you need to pay the amount of 1,499 per month to enroll in this course. This course guides you through step by step in Penetration testing, right from information gathering to security assessment and exploiting.
Created by Dale Meredith, this course starts by installing Kali Linux in a virtual environment and then teaches you information gathering on websites. Therefore, by taking advantage of this information gathering, the Penetration testing course introduces you to attack a specific website or service using Burpsuite. It also teaches you many other concepts like network scanning and social engineering. The course’s duration is 4 hrs and 42 minutes, consisting of 16 sections.
KOCHI: KMRL has decided to have AI-based cameras in the metro to introduce a passenger profiling system. The initiative is a part of the data analytics platform development project implemented by Kochi Metro and Rajagiri School of Engineering and Technology (RSET).
All the passengers commuting via metro would be profiles based on their genders and age with the help of AI cameras installed in the stations. These cameras would be used for standard surveillance and assessment of the inflow of people and their luggage.
Loknath Behera, managing director of KMRL, said the cameras would be installed in the Automatic Fare Collection (FAC) areas. The cameras have facial recognition technology and can also recognize college or school uniforms.
Jaison Paul, the project’s principal investigator and VP of RSET, said, “The project is an industry-academic collaboration aiming to provide better facilities to the commuters.” He said that with AI, commuter data could be procured hourly, daily, weekly, and monthly.
He said that the AI technology’s predictive module could also forecast the volume of passengers in the upcoming days. “In the ongoing first phase, we give predictions for one to two days. With the advanced analytics, we can give predictions for two or three weeks.”
AI-driven data analytics in the metro will help assess the commuters and the footfall at each station to classify peak and non-peak hours. In the project’s upcoming phases, RSET plans to install chip-based AI cameras for more in-depth analysis.
Technology giant Microsoft is adding a new AI-powered voice command feature called ‘Dictate’ to OneNote. The new feature can control dictation, delete text, or undo a recent action. The company plans to append more voice commands to Dictate in the upcoming months.
Sofia Thomas, Microsoft Office Voice Team’s product manager, said, “Over the next few months, we will be adding new voice commands as well as some that are already available in other Office apps to One Note.”
OneNote is a digital notebook that lets you save and sync your notes automatically. All you need to do is type the information in your notebook or insert it via web pages. This new feature will make it more convenient to “break away from the keyboard” and stay in the flow with AI-backed voice commands to organize text.
Dictate is compatible with over 50 languages and provides an alternative to manually typing text in OneNote. The feature, however, works only for those using OneNote for the web and for insiders running Beta Channel version 2207 for Windows.
If you wish to launch the feature in OneNote, simply click the Dictate button in the Home tab and then move to the Dictation Settings to adjust per your preference. Once you have set up the feature, start speaking to create notes. After finishing, say, “stop dictation.” You can also click the ‘Stop Dictation’ button on the Dictation tab.
Baidu has won approval from the country’s authorities to start testing fully driverless taxis on public roads. The Chinese technology and internet services company has received the node to test on 33 individual roads totaling 65 miles in less-populated suburbs. Baidu has already test-driven its vehicles on roads in Beijing, Wuhan, and California. Baidu will soon begin to test it’s driverless taxi on the roads of Beijing.
The announcement makes Baidu the first and only company with permission to conduct driverless tests without a safety driver in the autonomous driving vehicle-on public streets in China’s capital.
Baidu’s driverless taxis will be equipped with the company’s “Apollo” self-driving system, which uses artificial intelligence (AI) to navigate. The company plans to deploy the driverless taxis initially in the Chinese city of Changsha, where it will partner with local taxi firm Didi Chuxing.
In China, Beijing has the most rigorous safety requirements for obtaining approval for driverless testing. According to the conditions announced by the Beijing municipal government last month, autonomous vehicles must complete over 30,000 kilometers of safe test-driving on open roads, have a T3 or higher testing ability, and pass an evaluation on a closed track.
License plates of autonomous driving road tests in Beijing have five levels, from T1 to T5, where T3 indicates that the vehicles possess road condition recognition, emergency disposal, and vehicular traffic laws compliance capabilities.
The driverless testing permits in Beijing are a crucial milestone in Baidu’s plan to build a commercial autonomous driving business. The AI-powered autonomous vehicles could operate in complex urban road conditions. The 5G remote driving service will power all the fully driverless vehicles that will undergo road tests in Beijing. This technology allows drivers to control vehicles remotely in case of an emergency.
Meta’s Research division unveils BlenderBot 3 AI, a competent chatbot built to stand against network toxicity. The company has released a demo version in the US of the 175 billion-parameter conversational algorithm.
Meta believes that AI-driven bots and applications can quickly become corrupt after exposure to the internet’s toxicity if they do not have sufficient and robust behavioral restraints. Chatbots are typically created in highly-curated environments that might limit the source subjects from which the bots take the information. Alternatively, chatbots can be trained by pulling information from the web and accessing a broad range of topics, but this could quickly go south.
Meta researchers said, “Researchers can’t possibly predict or simulate every conversational scenario in research settings alone. The AI field is still far from truly intelligent AI systems that can understand, engage, and chat with us like other humans can.” They also highlighted the need to develop more adaptable and diverse AI models.
Meta has been working to tackle AI-bots’ toxicity in fetching information through the internet since its BlenberBot 1 chat app launched in 2020. Then came the BlenderBot 2 as an open-source NLP (natural language processing) experiment to retain information from previous conversations and search the internet for the source subject.
By assessing both the people and the information it retrieves from them via the web, BlenderBot 3 expands on these skills. Meta researchers recommended people use the demo and share their feedback to help advance the project. They said, “Our live, interactive, public demo enables BlenderBot 3 to learn from organic interactions with all kinds of people.”
The company claims that BlenderBot 3 is anticipated to speak more conversationally than the predecessor, as it is nearly 60 times larger than BlenderBot 2. It provides a 31% improvement in overall rating based on human judgment. Researchers said, “Compared with GPT3, on topical questions, it is found to be more up-to-date 82 percent of the time and more specific 76 percent of the time.”
The Indian Army is enhancing the utilization of surveillance technology to keep watch on China and Pakistan by deploying 140 AI-based surveillance systems along the Line of Control (LOC). These systems will give a live feed of the ground station via high-resolution cameras, UAVs, sensors, and radars.
Artificial Intelligence (AI) will aid the technologies to arrive in the required positions. It will then enable remote target detection and classification, whether a person or a machine. These technologies will be trained to interpret, alter, and detect anomalies and intrusions at the borders. The Army also upgraded its arsenal with other AI-based products for human behavioral analysis, robotic products, etc.
The surveillance units can also monitor social media posts and predict adversary actions in real-time. Additionally, suspicious vehicle recognition systems are deployed in eight locations in Southern and Northern commands to generate counter-terrorism operations intelligence.
The Army has set up the AI Center at the Military College of Telecommunication Engineering, Mhow, Madhya Pradesh, to oversee the surveillance systems. A source at the defense establishment said, “AI is capable of providing considerable asymmetry during military operations and is one of the transformative changes in fighting wars,”
The Army is also seeking 5G technology to aid battlefield operations. The high-bandwidth connectivity will give an upper hand to frontline troop communication. The Army is conducting joint studies with the Corps of Signals to implement 5G appropriately. It has also signed an MoU with IIT-Madras to expand the investigation.
Incorporating AI into national security surveillance will also considerably reduce the requirement for manual monitoring.
According to an IDC report, banks across the world will spend about an additional US $31 billion by 2025 on artificial intelligence (AI) installed in existing systems to reduce fraud.
The report also mentions fraud management as a foremost priority for banking executives.
According to Michael Araneta, Associate Vice President, IDC Financial Insights, businesses might be overestimating the adequacy of their current defense mechanisms against fraud in coming up with digital products and services.
Araneta added that what worked well before would not be enough now in the more digitized business world. There must be a constant upgrade of fraud management strategies.
According to the report, the banking industry is facing two crisis scenarios, each side requiring solutions that can run counter to each other. Both government policy and financial services institutions must balance between the chase for revenue and risk management.
The industry will also be involved in platform-building by 2023, which allows financial services to be extended and externalized to third parties, said the report.
Araneta said that the industry is pursuing new collaborations like banking as a service (BaaS) and digital lifestyle ecosystems. He added that being digital-first means being attuned to the critical moment in the recovery of financial services.
With the recent advancements in computing power, quantum computing is gearing up to revolutionize the needs of today’s modern world. Quantum computers can easily solve complex problems that are difficult and, in most cases, impossible for traditional computers to process. Moreover, quantum machines can solve complex problems a billion times faster than classical supercomputers. Such speed and accuracy unlock countless possibilities in almost every aspect of modern life.
Several technological giants are strategically investing in quantum computing. Recently, IBM updated its quantum computing roadmap, which suggests that IBM will accelerate quantum’s expected trajectory by developing quantum processors that have the potential to scale to hundreds of thousands of qubits several years earlier than expected. If IBM’s roadmap is implemented successfully, it will change the quantum computing paradigm.
Considering the hype around the topic of quantum computers, one often wonders what their real-world applications are. To answer that, this article discusses the top applications of quantum computing.
One of the top applications of quantum computing is its utility in research in the field of particle physics or high energy physics. Particle physics models are highly complex. Hence, require lengthy computing time and a vast number of resources for numerical simulations. For instance, consider the example of the Large Hadron Collider (LHC) at CERN. Experiments on LHC produce one petabyte per second of data resulting from collisions of one billion particles every second, which is impossible to keep up with. Here’s when quantum computing comes to the rescue.
Quantum computers enable physicists to deal with vast experimental data with accuracy and speed. They also allow one to simulate nuclear experiments and fundamental interactions, including scattering the nuclei and quarks. The computing power required to process LHC data is expected to increase by a factor of a hundred by 2027. In 2019, CERN initiated its collaboration with IBM to work on quantum computers.
2. Training Artificial Intelligence
Quantum computing applications include the crucial task of training artificial intelligence. The intelligence demonstrated by machines requires training; quantum computing can simplify the task of analyzing millions or even billions of data points with accuracy and speed. In 2020, Google, in collaboration with Volkswagen and the University of Waterloo, launched TensorFlow Quantum to accelerate development in quantum computing. TensorFlow Quantum is an open-source library used for prototyping quantum machine learning models.
For specific artificial intelligence models, quantum machine learning is much more suitable than classic machine learning. Quantum machine learning explores methodological and structural similarities between specific learning and physical systems, specifically neural networks.
3. Financial Modeling
One of the top applications of quantum computing includes its use in financial modeling. Based on expected returns and associated risks, finding the right mix for profitable investments is significant for financial investors to survive in the market. This process involves the analysis of thousands of factors that have the potential to affect stock prices. On classical computers, Monte Carlo simulations are used by investment banks for detailed analysis. However, this method takes a vast amount of time and computing resources.
Since quantum computers are mainly designed for such probabilistic calculations, by using them, investment banks can enhance the quality of their solutions and significantly decrease the time required to develop them. In the long run, quantum computers can assist financial services in opening new investment opportunities by increasing investment gains and reducing capital requirements.
4. Drug Development
The development of drugs is on the list of top applications of quantum computing. It can take over ten years and billions of dollars for pharmaceutical companies to discover or develop a new drug, for which scientists run hundreds of millions of comparisons on conventional computers. However, the processing capabilities of traditional computers are limited as they can analyze molecules only up to a specific size. This issue can be rectified with the use of quantum computing.
As quantum computing algorithms and hardware become more prevalent, they will make the comparison of much larger molecules possible. This can drastically reduce the time and costs involved in drug development, thus empowering scientists to find cures for various diseases faster than expected.
5. Advertising and Marketing
Applications of quantum computing in advertising and marketing are revolutionary. Quantum algorithms can help create and deliver better advertisements by interpreting associations influencing purchasing patterns. Instead of just using browser history for ad delivery, quantum algorithms focus on factors like how users feel after looking at an advertisement and what types of ads could help make long-term relations with the customers.
In collaboration with Recruit Communication, D-Wave Systems has pioneered the application of quantum computing to optimize marketing, advertising, and communication. They aim to use quantum computing in advertising to analyze complex data in less time and increase the efficiency of delivering advertisements to their targeted customers.
6. Discovery of New Materials
Applications of quantum computing include the discovery of new materials. Quantum computing is based on quantum-mechanical phenomena; hence, it can represent other quantum systems more efficiently than conventional computers. For instance, consider Schrödinger’s equation. A quantum machine can solve Schrödinger’s equation for a molecule to accurately calculate its allowed energy states. Quantum computers can also simulate complex molecules that conventional computers are unable to.
Researchers can develop optimum materials with finely tuned mechanical and optical properties by handling the noise in the qubits on quantum machines. Recent advances in quantum noise-canceling techniques suggest that next-generation materials might be designed on quantum computers rather than by traditional trial and error. Further advancements in quantum algorithms and hardware can revolutionize theoretical chemistry.
7. Development of Nitrogen Fertilizers
The development of clean fertilizers is one of the quantum computing applications. Quantum computers are gearing up to model the primary cofactor of nitrogenase, i.e., the FeMo cofactor. This advancement can enable chemists to develop energy-efficient industrial processes for synthesizing nitrogen or clean fertilizers.
Currently, ammonia fertilizers are developed through a Haber-Bosch process that uses enormous amounts of energy and releases large amounts of greenhouse gases. However, quantum computers can find the nitrogenase mechanisms and behavior of transition metals in detail, allowing the development of more efficient catalysts for manufacturing fertilizers.
8. Traffic Control
Quantum computers can also help tackle the problem of traffic control, which is a result of the increasing population. Technology using quantum computing can be used to mitigate traffic jams and thus shorten waiting periods. Recently, Volkswagen demonstrated the use of quantum computing to optimize traffic in a live setting. The D-Wave quantum computer used by Volkswagen’s quantum routing algorithm calculates the fastest travel routes in real-time.
Quantum routing algorithms can augment the entire mobility system of a city and can constantly interact with moving objects on the road. These algorithms can also be utilized in air-traffic control for enhanced routing information. Several other automobile manufacturers, including Toyota, BMW, and Ford, are investing in quantum computing applications.
9. Cybersecurity
Enhancement of cybersecurity is one of the most crucial applications of quantum computing. Quantum computers can crack encryption algorithms that protect the infrastructure and sensitive data of the internet. Estimates predict that a quantum computer with 20 million qubits is capable of breaking such encryptions in less than 8 hours.
Moreover, quantum computing can also be used to build much more secure encryption systems. Companies like Google and Microsoft have initiated their work on quantum-safe encryption algorithms. Although they are currently in the testing phase, quantum-safe algorithms are expected to assist with securing banking transactions, military communication, medical records, etc.
10. Efficient Weather Forecasting
One of many applications of quantum computing is mapping complicated weather patterns. Unlike traditional weather forecast systems, quantum computers can provide forecasts for much smaller and more specific areas. This can assist farmers in preparing for weather changes efficiently and allow airlines to minimize fight disruption.
In collaboration with the National Center for Atmospheric Research, The Weather Company, and the University Corporation For Atmospheric Research in the United States, IBM is building a quantum computing model that can estimate thunderstorms at a regional level. Quantum computing systems can also forecast micro-meteorological events, such as the formation of individual clouds or wind eddy by processing extensive meteorological data.
11. Enhanced Batteries
Researchers at IBM and Daimler AG are testing how quantum computers can simulate the behavior of chemical compounds in Lithium-ion batteries. They were able to simulate dipole moments of four industrially relevant molecules, viz. lithium sulfide, hydrogen sulfide, lithium hydride, and lithium hydrogen sulfide, using a 21-qubit quantum computer. As scientists increase the qubit states, they will be able to test more complex compounds to develop next-generation batteries that would be more powerful and inexpensive.
Conclusion
Overall, quantum computing is taking giant leaps in shaping several domains of everyday life, ranging from traffic optimization to cybersecurity. According to GlobeNewswire, the global market for quantum computing was valued at US $507.1 Mn in 2019, and it is expected to reach US $4531.04 Bn by 2030.
