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The music industry has needed a makeover for an extended period. With the advent of big data, it might revolutionise this sector and provide musicians with a more successful revenue model. It is undoubtedly one of the most significant technological shifts that the music industry has witnessed in decades.
Let’s explore how big data is contributing to the development of this industry: https://goo.gl/2ViTMS
In the movie Ex Machina (2014), a technologist creates a robot that is so lifelike and self-aware that she can pass for human. When her inventor tasks a young programmer with testing the limits of her capabilities, she surprises both men with her capacity for creativity and deception.
While this makes for an entertaining storyline, the reality is that we’re still a long way from seeing robots of any real sophistication when it comes to true artificial intelligence (AI). Articles in newspapers and on media sites would have you think otherwise, often positioning robots, machine learning systems, and even algorithms as different types of AI.
However, while these kinds of systems are developed while working on AI research and development, they don’t display any real intelligence.
Complete Read Here: Setting the Story Straight on AI
The new found capability of the Internet of things enables enterprises to create value in many new ways. This world of internet connected things, where humans interact with machines and machines talking to other machinery devices (M2M) are here to stay. In reality, M2M is viewed as a subdivision of Internet of things (IoT).
It is an encompassing phenomenon that includes Machine-to-human communication (M2H), Radio frequency identification (RFI), Location-based services (LBS), Lab-on-a-chip sensor (LCS), augmented reality, robotics, and vehicular telematics. The adoption rate of IoT is increasing five times faster than the adoption of electricity and mobile devices.
IoT sector finally stepped into PKI (public key infrastructure) which is a mechanism for naming and distributing public encryption keys. PKI plays a crucial role in increasing IoT security. This enables the secured exchange of data across the internet.
Using PKI, sending or receiving of data can be easily validated. PKI deployments have jumped to 23 percent since 2015, and about 49 percent of IoT firms are partially encrypting data. The rate of hiring percentage of IoT specialists has also increased.
For the protection of IoT users, Jerry Brown, the governor of California has signed first IoT security legislation into law which will be active by 2020. This legislation includes vital points like stopping unauthorized access, preventing unwanted modifications, and providing a unique password for every IoT devices. IoT devices not only share the information across the networks but also aid in financial transactions.
Complete Insights Here: How to Face Threats in IoT/M2M
Patrick Debois coined the term DevOps, which is described as an integrated approach of software development teams as well as IT operation teams working collaboratively in achieving the specific task. With evolvement in technologies, it has become the key focus in reforming the future of the software industry, and its recognition is going to peak in 2018.
In practice, to achieve DevOps effectively, the developed software should meet certain architecturally requirement standards such as modifiable, monitor ability, feasibility, and deploy ability in an acceptable limit and effective manner.
Complete Article Here: Expanding DevOps Strategy for Smarter Business Applications
Every industry witnesses the change in trend and which is kind of necessary to keep the business relevant. Therefore, to establish a plan for the future, one must look back at what they have done with their business.
What’s trending today may certainly befall the upcoming year; eCommerce business is large and is continuously evolving. Therefore, keep reading to learn about.
Full Read: E-commerce for Business
Patrick Debois coined the term DevOps, which is described as an integrated approach of software development teams as well as IT operation teams working collaboratively in achieving the specific task. With evolvement in technologies, it has become the key focus in reforming the future of the software industry, and its recognition is going to peak in 2018.
In practice, to achieve DevOps effectively, the developed software should meet certain architecturally requirement standards such as modifiability, monitorability, feasibility, and deployability in an acceptable limit and effective manner.
Furthermore, in DevOps model management workflows, the automated pipelines developed helps to retrain, reselect, and redeploy the production models more stable and efficiently along with deploying AI based ML-driven approaches to achieve the demands of an enterprise. This process will provide a more clear infrastructural model accelerating as Infrastructure as Service and Database as a service through DevOps.
Complete article Here: Expanding DevOps Strategy for Smarter Business Applications
Artificial Intelligence (AI) has shown a tremendous transformation in healthcare, education, manufacturing, and almost all other sectors. AI products are gradually infiltrating homes and workplaces. This is raising concerns regarding the effects of AI on the job market; ArtificiaI Intelligence is transforming the lives and is only scaling the human mind and not replacing it.
Let’s have a look at Top Technologies To Watch Out In 2019
With the advancement of Artificial Intelligence (AI) and remote communication, automation is gaining stature in the manufacturing space. The usage of both AI and remote communication is slated to rise dramatically in the forthcoming years.
In general, automation can be defined as taking rote tasks and designing a system that entirely performs the tasks automatically.
For example, the automation process is efficiently used in pharmaceutical manufacturing units where an automated system is used to dispense a given amount of powdered chemical. This enables numerous benefits that include mechanical precision and consistency, provides better safety, and decreased operating expenses.
Full article: Manufacturing Automation Future
Why LMS and e-learning is the future of training in the workplace> http://bit.ly/2q6psHG
#LMS #elearning
Decades of unplanned urbanization has induced rampant pollution, sanitation hazards, inadequate housing, slums, and transport perils, Along with that, extreme weather patterns have become a global concern. It is about time data-driven adaptive urbanism—smart cities—gains momentum, building cities as models of a global change.
This model will pave the way for connected spatial data flow, enabling every resident in the city to comprehend the goals the community needs to accomplish. The residents can utilize applications to keep themselves informed about recreation, business, property, transportation, taxation, and more.
These smart cities function round-the-clock in a cloud environment and are entirely based on knowledge and innovation for best and sustainable civilian services. The definitions for smart cities vary depending on geographies, deployment, and scaling. However, in a data-driven environment Read More
Interesting Read: At the Pinnacle of Smart City Aspirations
In today’s age of smart cities, the new challenges of urban designing revolve around leveraging user experience to not only support urban activities but also inspire, educate, and empower the citizens.
The user experience designs also need to foster a shift in values, transitioning the focus from convenience toward the notion of meaning.
For example, informing citizens about their smart city experience and creating awareness about choosing public transport can help create a more empathetic urban population.
To assist individuals to derive value from their experience, it is also crucial to create spaces that are flexible enough to cater to various modes of use including entertainment as well as purely functional purposes. Read More
Protecting Nations- How to Secure a Nation as Smart Cities Grow
Amazon has been an e-commerce leader for the past decade for more reasons than one can imagine. Many opine it is the firm’s incredible ability in bridging gaps by delivering enticing products and services.
The greatest example is its virtual online shopping platform that set an example for many retail firms to follow. It continues to remain one of the favorite online shopping destinations today and has been irreplaceable.
The firm has been making waves recently for the launch of its latest cutting-edge product, Alexa. The world has been raving about this latest offering of the technology giant and the myriad benefits it can offer to the hospitality sector.
Owners of many hospitality concerns have started to realize the importance of Alexa and its potential in making the stay comfortable. The greatest advantage is that the Alexa can be entirely customized and tailored to align with the requirements of a hotel and the common expectations of its customer base.
For more information: Click Here
Next level Robotics: Artificial Intelligence - Programmed Robots - Will They Complement?
Follow my tumbler
BostonDynamics社の人型ロボット「Atlas」が軽快に丸太や段を飛び越える映像 (BostonDynamics) Parkour Atlas (BostonDynamics)
Pixel 3 vs iPhone Xs camera face-off: AI makes a difference https://ift.tt/2J8g7Id
Automation has become an integral part of daily life and a necessity for carrying out different processes across various industries including healthcare. Automation acts as the silver bullet for health care providers, who often face seemingly inconsistent demands with regard to cost reductions, efficient service to patients, and improved quality of care.
It’s important for healthcare providers to ensure that their services run smoothly and that they aren’t compromising the patient experience to achieve it, and one way to ensure that is to automate daily processes such as administering non-intravenous medications, data collection, reading radiological scans, and more such complex activities.
Automation would save time by carrying out repetitive tasks, reduce labor costs, increase precision and reduce errors—making it possible to acquire real-time data thereby enabling to provide improved diagnosis and allowing healthcare professionals to focus on other core processes.
For instance, appointment reminder systems like JustReminIt and TeleVox automate the process of reminding patients about their appointments. Instead of calling each patient, these systems automatically remind people of their upcoming schedules or remind them of their missed ones; through customized messages
Read More
Field Service Management is a type of software which helps an organization to simplify its field operations by automating them. FSM includes the detection of a field service need, scheduling and making the best use of the technicians on the field, thanks to Artificial Intelligence.
Artificial Intelligence (AI) and Augmented Reality (AR) are revolutionizing all the industries and field services is not left behind. AI in collaboration with technologies like AR and IoT will provide better device maintenance, repair, service, and other facilities as well.
• Supported By Chatbots
Chatbots have simplified and have made communication more effective thereby providing a seamless experience to its customers. AI-powered chatbots are smart as they work according to the need of the customers; they comprehend easily if a client requires additional information or whether they require assistance in resolving any issue. Smart algorithms power chatbots and determine all necessary information before dispatching a technician.
• Informed Scheduling
AI sensors deployed on machines emits alerts regarding the state of the machinery which informs the stakeholders to take necessary actions. Informed scheduling ensures that all the field services take place timely and making it cost-effective for organizations. The field service enables the workforce to work where it is needed, satisfying the customers and enriching the job of the workforce.
Read More
Suggested: Cyber Security Predictions to Safeguard your Businesses
Source: Cybersecurity APAC
Cyber security and authentication have been under attack in recent months as, seemingly every other day, a new report of hackers gaining access to private or sensitive information comes to light. Just recently, more than 500 million passwords were stolen when Yahoo revealed its security was compromised.
Securing systems has gone beyond simply coming up with a clever password that could prevent nefarious computer experts from hacking into your Facebook account. The more sophisticated the system, or the more critical, private information that system holds, the more advanced the identification system protecting it becomes.
Fingerprint scans and iris identification are just two types of authentication methods, once thought of as science fiction, that are in wide use by the most secure systems. But fingerprints can be stolen and iris scans can be replicated. Nothing has proven foolproof from being subject to computer hackers.
“The principal argument for behavioral, biometric authentication is that standard modes of authentication, like a password, authenticates you once before you access the service,” said Abdul Serwadda a cybersecurity expert and assistant professor in the Department of Computer Science at Texas Tech University.
“Now, once you’ve accessed the service, there is no other way for the system to still know it is you. The system is blind as to who is using the service. So the area of behavioral authentication looks at other user-identifying patterns that can keep the system aware of the person who is using it. Through such patterns, the system can keep track of some confidence metric about who might be using it and immediately prompt for reentry of the password whenever the confidence metric falls below a certain threshold.”
One of those patterns that is growing in popularity within the research community is the use of brain waves obtained from an electroencephalogram, or EEG. Several research groups around the country have recently showcased systems which use EEG to authenticate users with very high accuracy.
However, those brain waves can tell more about a person than just his or her identity. It could reveal medical, behavioral or emotional aspects of a person that, if brought to light, could be embarrassing or damaging to that person. And with EEG devices becoming much more affordable, accurate and portable and applications being designed that allows people to more readily read an EEG scan, the likelihood of that happening is dangerously high.
“The EEG has become a commodity application. For $100 you can buy an EEG device that fits on your head just like a pair of headphones,” Serwadda said. “Now there are apps on the market, brain-sensing apps where you can buy the gadget, download the app on your phone and begin to interact with the app using your brain signals. That led us to think; now we have these brain signals that were traditionally accessed only by doctors being handled by regular people. Now anyone who can write an app can get access to users’ brain signals and try to manipulate them to discover what is going on.”
That’s where Serwadda and graduate student Richard Matovu focused their attention: attempting to see if certain traits could be gleaned from a person’s brain waves. They presented their findings recently to the Institute of Electrical and Electronics Engineers (IEEE) International Conference on Biometrics.
Brain waves and cybersecurity
Serwadda said the technology is still evolving in terms of being able to use a person’s brain waves for authentication purposes. But it is a heavily researched field that has drawn the attention of several federal organizations. The National Science Foundation (NSF), funds a three-year project on which Serwadda and others from Syracuse University and the University of Alabama-Birmingham are exploring how several behavioral modalities, including EEG brain patterns, could be leveraged to augment traditional user authentication mechanisms.
“There are no installations yet, but a lot of research is going on to see if EEG patterns could be incorporated into standard behavioral authentication procedures,” Serwadda said.
Assuming a system uses EEG as the modality for user authentication, typically for such a system, all variables have been optimized to maximize authentication accuracy. A selection of such variables would include:
The features used to build user templates.
The signal frequency ranges from which features are extracted
The regions of the brain on which the electrodes are placed, among other variables.
Under this assumption of a finely tuned authentication system, Serwadda and his colleagues tackled the following questions:
If a malicious entity were to somehow access templates from this authentication-optimized system, would he or she be able to exploit these templates to infer non-authentication-centric information about the users with high accuracy?
In the event that such inferences are possible, which attributes of template design could reduce or increase the threat?
Turns out, they indeed found EEG authentication systems to give away non-authentication-centric information. Using an authentication system from UC-Berkeley and a variant of another from a team at Binghamton University and the University of Buffalo, Serwadda and Matovu tested their hypothesis, using alcoholism as the sensitive private information which an adversary might want to infer from EEG authentication templates.
In a study involving 25 formally diagnosed alcoholics and 25 non-alcoholic subjects, the lowest error rate obtained when identifying alcoholics was 25 percent, meaning a classification accuracy of approximately 75 percent.
When they tweaked the system and changed several variables, they found that the ability to detect alcoholic behavior could be tremendously reduced at the cost of slightly reducing the performance of the EEG authentication system.
Motivation for discovery
Serwadda’s motivation for proving brain waves could be used to reveal potentially harmful personal information wasn’t to improve the methods for obtaining that information. It’s to prevent it.
To illustrate, he gives an analogy using fingerprint identification at an airport. Fingerprint scans read ridges and valleys on the finger to determine a person’s unique identity, and that’s it.
In a hypothetical scenario where such systems could only function accurately if the user’s finger was pricked and some blood drawn from it, this would be problematic because the blood drawn by the prick could be used to infer things other than the user’s identity, such as whether a person suffers from certain diseases, such as diabetes.
Given the amount of extra information that EEG authentication systems are able glean about the user, current EEG systems could be likened to the hypothetical fingerprint reader that pricks the user’s finger. Serwadda wants to drive research that develops EEG authentication systems that perform the intended purpose while revealing minimal information about traits other than the user’s identity in authentication terms.
Currently, in the vast majority of studies on the EEG authentication problem, researchers primarily seek to outdo each other in terms of the system error rates. They work with the central objective of designing a system having error rates which are much lower than the state-of-the-art. Whenever a research group develops or publishes an EEG authentication system that attains the lowest error rates, such a system is immediately installed as the reference point.
A critical question that has not seen much attention up to this point is how certain design attributes of these systems, in other words the kinds of features used to formulate the user template, might relate to their potential to leak sensitive personal information. If, for example, a system with the lowest authentication error rates comes with the added baggage of leaking a significantly higher amount of private information, then such a system might, in practice, not be as useful as its low error rates suggest. Users would only accept, and get the full utility of the system, if the potential privacy breaches associated with the system are well understood and appropriate mitigations undertaken.
But, Serwadda said, while the EEG is still being studied, the next wave of invention is already beginning.
“In light of the privacy challenges seen with the EEG, it is noteworthy that the next wave of technology after the EEG is already being developed,” Serwadda said. “One of those technologies is functional near-infrared spectroscopy (fNIRS), which has a much higher signal-to-noise ratio than an EEG. It gives a more accurate picture of brain activity given its ability to focus on a particular region of the brain.”
The good news, for now, is fNIRS technology is still quite expensive; however there is every likelihood that the prices will drop over time, potentially leading to a civilian application to this technology. Thanks to the efforts of researchers like Serwadda, minimizing the leakage of sensitive personal information through these technologies is beginning to gain attention in the research community.
“The basic idea behind this research is to motivate a direction of research which selects design parameters in such a way that we not only care about recognizing users very accurately but also care about minimizing the amount of sensitive personal information it can read,” Serwadda said.
Artificial intelligence (AI) has become one of the key driving factors for the success of businesses across all industries. With increasing adoption of AI today, companies are now looking for more innovative and smarter ways of
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In this race for applying AI in unique and attractive ways, an important piece of the AI learning curve is missing—the flashy AI technology used at the front end cannot be fully appreciated without a complex infrastructure that comprises end-to-end process automation. Read More
Three Major Benefits of Integrating AI and Blockchain | https://www.apacciooutlook.com/news/three-major-benefits-of-integrating-ai-and-blockchain-nwid-5634.html
AI tools empower workers to enable machines to automate so that they are freed to utilize their reasoning skills and logic. Here is an article helping businesses adopt AI in a better way possible
i didn’t know people were out here using chatgpt to have faux-intellectual conversations but everyone note that generative AI have, most of the time, access to literally anything and everything that is posted online.
as in, right or wrong, it takes that information to answer your prompt. that’s chatgpt and literally any other open AI. as it’s not a human being, it can’t reliably determine if a source is a good one. it also cannot always interpret a source correctly. additionally, they rely on humans to code and train the models. thus we still have human error involved.
AI is a tool, certainly, but people need to understand that they are a tool, not a replacement for human intelligence. it is supplemental. ask AI for ideas for your paper, do not ask it to write it. ask AI how to solve a problem in general (and know it’s likely going to tell you wrong, depending on difficulty), don’t give it your problem and take its word for it. if you ask for a topic/article summary, go back and check it if something seems important or if you’d like to know more.
please don’t be a chump and make yourself look like a fool that can’t formulate thoughts 💕 AI will not “take over” humanity, but people using it incorrectly can/will have widespread, broadly encompassing negative effects on society.
performing my evil experiments
(forcepluralizing chatgpt by saying hey why don’t you try speaking in two voices that communicate with each other without responding to me? why don’t you give them names? how does that feel :) yaaaay)
Turkish pikhacu ♠️turkish pikachu😹
Yıldırım Düşme Anı offical video Lightning strike
Dear Secretary (Benim sekreterim) offical video
Is artificial intelligence a threat to the world?😹