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Artificial Intelligence

Competitive Technology: What is Artificial Intelligence?

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Competitive Technology: What is Artificial Intelligence?

By Competitive Technology

Artificial intelligence is a term that was coined by Robert MacCarthy and is related to the development of intelligence in machines and technology. In simple terms, it can be said that artificial intelligence is the ability to think, as expressed by machines.

A.I. is a developing field related to the upcoming growth that is expected for computer processing power and this is why A.I. and automated trading in the cryptocurrency market are fields of great potential for anyone interested in the technology sector.

Recent trends show that most industries are unlikely to improve without integrating with artificial intelligence. Even fields like medicine and education cannot remain competitive without adopting artificial intelligence systems.

Source: PBS.org

Of course, the rise of artificial intelligence is currently taking at a breakneck speed. It has become an important part of our daily lives from the time we open our eyes to the moment we fall asleep at night.

Artificial intelligence has become a topic of great debate, and some people considering recent advancements to be highly beneficial for humanity.  Others consider A.I. to be an existential threat to humanity itself.  However, it is still very early to really say anything about it.

Yet, it is an interesting debate because the discussion can help us to improve the living standards of people around the world.  At the same time, these are forces that have the potential to overpower the human race in the future.

New Definitions of Artificial Intelligence

According to the new definition of artificial intelligence, true artificial intelligence is something in which machines learn on their own with the help of technology and without the help of any person.

Besides, they are supposed to learn from their mistakes and improve themselves by self-correction. It is something that has brought the debate of the human vs the artificial intelligence that is machine technology.

Implications of Artificial Intelligence

Many people argue that with this development machines can deliver perfect assistance to humans. Their broad database will help humans to raise their standard of living. Apart from it, they will bring revolution in all technological fields related to human industry.

However, others are arguing that when machines would continue to learn by on their own, one day, they will overpower human beings. Then humans will become the permanent slaves of machines. These people also code many disadvantages of relying so heavily on artificial intelligence. Thus, it is an ongoing and inconclusive puzzle that can only be solved by the time, not in centuries but in decades to come.

Advantages of Artificial Intelligence

There are a lot of advantages to artificial intelligence. So much so that no country in today’s world can survive without the support of artificial intelligence. Following are the important advantages of Artificial Intelligence among thousands of others:

  • The first advantage of the growth of artificial intelligence is in the field of defense. Robots can be used for border patrolling instead of humans. It will save many precious lives. Many soldiers die daily on petrol duty. Furthermore, artificial intelligence can be used to extract information about the enemies. It can detect the incoming missile and can automatically trigger an anti-missile system so put an end to that missile attach. In this field, it has a vast scope as it has in every other field.
  • AI has already proved its worth in the medical field. It is learning symptoms of diseases. It can conduct different tests spontaneously. Thus, it will perfectly diagnose disease within no time. It will start the treatment of patients accordingly. Thus, it has all the potentials to bring a revolution in this field.
  • The education field has already started to improve with the help of artificial intelligence. No person in the world today can copy the work of another person. He can easily be caught by Copyscape and other such types of plagiarism checking software. In the new method of teachings grading and rewarding have been left to the machines. It has given teachers extra time to put more in teaching students. Students perform checks on the machines daily. It has helped to know the interest of students to put them on a proper road.
  • In the business sector, artificial intelligence has been very helpful. It has helped companies to deliver customer services more effectively. It points out the areas of businesses for a company. It targets and brings customers to companies. In this field, the scope of artificial intelligence can never end. The more artificial intelligence grows the more it will help businesses to flourish. Particularly, it has been a revolutionary force in the manufacturing sector.
  • It is a handy tool to solve the legal case. Especially for the South-Asian countries where decades-old cases are still pending, artificial intelligence can help in solving this problem. Besides, it can also help police in caring out an investigation. The street crimes can be brought to zero by installing digital surveillance cameras in the streets with face and speech recognition. This will be a very helpful tool in this regard.
  • Artificial Intelligence performance in the transport sectors is unmatchable. With its help, companies like Google and Tesla has come up with a pilotless car, train and bus models. Shortly with the launch of 5G, all the cars will go driverless. It might look like some science fiction movies but it is the truth and everybody is going to see it shortly.
  • Smart mobile phones in everybody’s hands are a perfect example of artificial intelligence growing influence in a person’s life.

Today many people might argue that AI is not good for people. It is controlling their lives in ways they even do not know themselves. They might say that the growing influence of artificial intelligence in the industrial sector will render many people jobless. One can even be skeptical about the involvement of machines in the health sector.

Conclusion

With artificial intelligence, people will actually throw their lives in the hands of machines which neither has emotions nor can understand the human psyche. All these problems can be given a thought. These can be solved. Humans have all the potential to solve any problem that becomes a threat to its existence.

However, one cannot ignore the development of artificial intelligence. It is not in control of anyone to stop these developments in various sectors which are very helpful for humans to raise their living standards. So, instead of being pessimistic one must think good and think about the blessings that these developments can bring to humans.

 

Competitive Technology, Neural Networks

Growing Fields of Man-Made Brainpower: How Neural Networks Work

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Neural Networks as ‘Artificial’ Brain

Human brain capacities can be imitated by neural networks and can portray a registering procedure. According to Andy Chun from City College of Hong Kong’s Bureau of Software engineering, with the use of neural networks, we can try to mimic how nature works when it comes to learning the process of several things.

Chun added that neural systems show how data is passed in the middle of the neurons to “acquire knowledge and learn new things”. The human brain is for the most part comprised of neurons, which are associated with by inward wiring called ‘neurotransmitters’.

The Essence of Neural Networks

Chun added that there are neural networks’ researches about speech recognition and generation, recognizing faces and images. Neural systems are superior to most AI technology at taking care of issues that are “perceptual in nature”, like talking and seeing. Chun believes that neural systems exceed expectations at perceiving designs.

In any case, as neural systems learn individually, engineers need to simply compose a small amount of possibly long line of codes because it is given that it would take “a huge number of lines” of code to program more smart AI frameworks. Profound learning requires a gigantic measure of figuring power, with quicker processors and more mind-boggling neural structures. All things considered, profound learning is behind Tesla’s self-driving autos, which show themselves by watching film of human drivers from everywhere throughout the world, Chun says.

What’s more, AlphaGo, the AI technology program that as of late beat the best on the planet of the Go tabletop game, took in its moves “from observing all diversions at any point played by people on the web”, according to Chun.

Neural Networks’ Influence on the government

Later on, Chun predicts that administrations will have the capacity to learn distinctive things considerably more precisely about its citizens in living, work, and wellbeing propensities and in transportation needs. Furthermore, he added that forecast will be a key advantage from this profound learning.
Specifically, he distinguishes medical advantages like analyzing and learning wellbeing examples of people and be ready to perhaps offer projects to keep nationals from becoming ill in any case.

Chun further added that the greatest obstacles are security policies and regulations. When you have a self-sufficient AI, at that point governments need to make sense of how to appoint duty, if a defective self-driving auto gets into a crash, for instance. In any case, it is critical to take note of that as governments utilize resident information to learn and remove learning.

Developments in the use of Neural Networks

Assets to urge new businesses to concentrate on profound learning are given in Hong Kong, according to Chun. Additionally, Singapore’s Administration Innovation Organization has recognized profound learning as a key concentration for 2017.

In the interim, in China, engineers of Baidu search engine had built a chatbot to help specialists in noting patients’ inquiries and proposing treatment choices. Also, a group from Northeastern College in China has lately built up a neural system that can recognize the area of flawed flags in microgrids, which are littler lattices that are associated with the fundamental power framework yet, can work without it. In conclusion, neural networks could in future ‘spare’ the world in an unexpected way while tackling issues that influence every one of our lives such security and the possible impact of technology.

Competitive Technology, Security Systems

Upgrading Organizations’ Security System through Neural Networks

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For the past decades, there are a number of researches on how to enhance the current technology and methods to defend systems from intrusions. Today, businesses and other organizations utilize ‘anomaly detection’ and misuse or ‘signature-based detection’ to find malicious network activities and identify if these are known or new security threats. Unfortunately, these methods are still subject to progress.

When it comes to cyber security, computer network protection is crucial. This is even compulsory for companies that need to protect their employees’ and clients’ sensitive information. One breach of a company’s data security would destroy its entire structure and reputation.

Security Measures are Important to Every Organization

To ensure the contribution of clients in keeping the classification, morality, and accessibility of all data assets against leakages, an association’s first guard was created which characterized with all-around procedure and administration of frameworks. Security mindfulness training is design for staff to keep vital information that protects a computer from leakages and malware, reduces the dangers against system hacks, and against other emerging threats.

Information Technology (IT) rules and methods can help guard an organization against assaults for the users to be aware, however, when a malicious interruption is attempted, technology is the thing that protects the systems to ensure IT resources. With regards to information security, conventional protection procedures ought to be in layers: firewalls, Intrusion Detection Systems (IDS) and Intrusion Prevention System (IPS) can be utilized.

Dealing with inconsistency and error can work effectively in a possible way, even without the need of human communication/supervision in the procedure demonstrates by in different studies and new improvements in the field of IDPS (Intrusion Detection and Prevention System).

How Do Neural Networks Work?

A neural network method can adjust to specific imperatives, learn framework attributes, perceive examples and contrast late client activities with the standard conduct; this permits settling many issues even without human mediation. Some contextual investigations stress that the utilization of Artificial Neural Networks (ANN) can set up general examples and recognize assault qualities in circumstances where rules are not known. The innovation guarantees to recognize abuse and enhance the acknowledgment of malevolent occasions with more consistency. A neural network can identify any cases of possible abuse, enabling framework overseers to ensure their whole association through advanced protection against dangers.

Developments on IDS and IPS Applications

IT experts have come to depend more on recognition and aversion advances to secure accessibility of business-basic data assets and to defend information secrecy and respectability by computer interruptions, ending up more typical and a developing test to beat.

Intrusion Detection Systems (IDS) can be delegated: Host-based or System based on the previous checking singular machines’ logs and the last breaking down the substance of system parcels; On the web or Disconnected, fit for hailing a risk progressively or sometime later to caution of an issue; Abuse based or Peculiarity based, either particularly checking a deviation from a standard conduct or contrasting exercises and ordinary, known aggressors’ conduct.

While IDS is outlined to detect attacks and ready people to any noxious occasions to research, an IPS is utilized to prevent malicious acts or square suspicious activity on the system. There are four distinct sorts of IPS:

1. Arrange based interruption counteractive action framework (NIPS) that takes a gander at the convention action to spot suspicious activity

2. Remote interruption anticipation framework (WIPS) that examines remote systems administration conventions and is so imperative in the BYOD and versatile driven world

3. Organize conduct examination (NBA) that can spot assaults that make irregular movement, for example, disseminated foreswearing of administration (DDoS) assaults, and it can utilize inconsistency based recognition and stateful convention investigation

4. Host-based interruption aversion framework (HIPS) that can be introduced on single machines and can utilize signature-based and peculiarity based strategies to distinguish issues.

Artificial Intelligence

How Can Artificial Intelligence Counter Attack Cyber Security Threats?

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Artificial Intelligence technology is essential to business and governmental organizations when it comes to increasing creativity and performing automated office tasks. On the other hand, business and IT leaders who are concerned about threats to cybersecurity are worried about artificial intelligence. They think the possibilities that hackers might use AI tools to identify ‘weak spots’ where they can exploit and attack an organization’s security system.

What Security Threats can be Determined by AI Technology?

The Defense Advanced Research Projects Agency supported the Cyber Grand Challenge hacking competition in Las Vegas, where each team must play a hacking game using seven high-tech machines to search and utilize the viruses against each other’s systems. The game is called Capture the Flag, wherein TechCrunch dispersed servers to particularly execute tasks while having a new code filled with bugs, security holes, and inefficiencies.

Carnegie Mellon succeeded from the competition because of how it develops to repair its own servers by slowing down the system and be available as Wired reported offline. A startup named ForAllSecure conducted research at Carnegie Mellon formed a bot called “Mayhem” where it acts as a system that catches bugs faster than humans.

Potential of AI Technology as a Cyber Weapon

In an interview by the New York Times with Marc Goodman a law enforcement agency adviser and author of Future Crimes said: “The thing people don’t get is that cybercrime is becoming automated and it is scaling exponentially.”

He believed that AI’s technology can be developed as cyberweapons like the popular malicious program tool known as Blackshades. Blackshades was created in 2015 by Swedish Alex Yucel who was allegedly accused and imprisoned because of selling the particular malware on the black market.

By sharing this with other neural networks, it can damage any system’s security where users can expose any confidential video or audio. IDG mentioned that tools like Blackshades might eventually use an AI to “design entire attack strategies, launch them, and calculate the associated fee.”

What Makes AI Technology an Effective Security Tool?

According to Tome Weingarten, CEO of security firm SentineIOne, there’s a possibility that an AI-driven technology in the web will become vulnerable somehow. However, AI researchers and cybersecurity organizations are doing a counter-attack to prevent any suspicious malware.

An AI Cylance device technology develops a system which identifies neural networks and can foresee the result and control the system. Jon Miller, chief research officer at Cylance also stated that the machine’s function can identify more than 99 percent of malware at a time.

AI will resolve suspicious malware that alters with different attacks according to John Clark, a computer engineer who wrote The Independent, and the new chair of computer and information systems at the University of Sheffield in the UK. Recently, an AI system called AI2 was developed by researchers from the Massachusetts of Technology’s Computer Science and Artificial Intelligence Laboratory.

It is said that 85 percent of attacks are can be detected by AI2 and decreases the number of wrong positives by a factor of five which is estimated to be three times better than its former benchmarks. AI2 detects any suspicious activities by searching through data and group them into significant patterns. The technology utilized approximately 3.6 billion pieces of log lines or data during its testing phase from millions of users over a period of three months.

Conclusion

AI technology and human cybersecurity instinct can be crucial to maintaining balance as per Wired. Humans have their limitations when it comes to doing a load of work to maximize security and neither could totally depend on machines for detecting cyber intrusions. Humans can hope that AI2 can be the multifaceted way out of the dilemma.