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Latest Innovation in Electronic that are shaping the Future of the Industry

The era of modern electronics initiated with the invention of the transistor in the year 1947 and silicon-based semiconductor technology. Now after so many years, we are surrounded by numerous advance technologies, electronic devices and we rely on them in our everyday lives.

Here, we have come up with latest modern innovations that have completely transformed the industry:

Virtual Reality

Virtual Reality works great in electronic manufacturing companies to enhance manufacturing efficiency. It mainly referred to as digital design, integration, and simulation. It enables companies to inspects design objects at all conceivable scales, thereby removing defects in the product in the design stage.

Artificial Intelligence

Artificial Intelligence has become a mainstay of the electronics sector in consumer tech. AI works on different verticals from big data analytics to speech recognition to predictive teach. It is virtually integrated into every piece of IoT technology and is transforming the way companies do business. AI took the center stage at the CSE 2019 and showed how this will affect every aspect of life.

Robotics and Automation

Today, various electronics equipment companies use robotics and automation to boost the efficiency and productivity of the crop. These sensors are widely used on different machines to access priceless data to enhance efficiency as well as decrease the potential damage. Thereby increasing the use of automation and robotic technology to boost productivity and cut production cut.

IoT Technology Driving Smart Household Appliances

Home appliance manufacturers integrate their products with IoT technology to ensure that your customers are comfortable and convenient. IoT is the interconnection of physical objects and devices that are integrated with sensors and software. These technological solutions allow them to exchange and collect data. The major technologies allow smart home appliances like Wi-Fi, micro servers, micro-electromagnetically systems and Bluetooth Low Energy.

5G to Open Up New Verticals

5G is the next-generation mobile data network technology; it offers more speeds than those provided by today’s cellular and cable operators. However, the applications of mobile 5G are very far away from being available for the public. Verizon unveiled its 5G Ultra Wideband; it will alter the virtual gaming landscape with the ability to deliver heightened virtual reality experiences. 5G technology is bringing revolutionary changes in the electronic field.

Self-driving Vehicles

As technology is continuing to transform the auto industry, it has also brought amazing transformations. This year’s CES provided a lot of advanced automotive tech, some of them can be seen in the not-so-distant future. Some of the innovations unveiled at the CES this years in the electronics industry include electric vehicles, large-screen infotainment systems, talking cars, flying taxis, autonomous cars, etc.

Voice-assisted Personal Entertainment Systems

When it comes to personal entertainment spaces in the electronic space, voice-assisted systems have opened up a new level of work quality. LG unveiled its latest Signature Series OLED R, a rollable television that rises out of a box on the touch of a button. facilityresults.com

Importance of Digital Marketing for E-commerce Stores

Using digital marketing can create huge revenue as it supports to get customers and brand value. Today, customers are no more dependent just on the content or word-of-mouth before making a purchase. They check the reviews about any particular product or service on all the platforms on which the product listed.

As per the recent reports, 37 million social media visits let to 529,000 orders on average. In which, the biggest social network Facebook supports to get more traffic to the site that leads to sales constituting an average of 85% of all the orders. It has become vital to grab consumers’ attention as they get distracted easily. This is where Digital Marketing comes into the frame and its importance came into light. Here, we are listing some more points that show the importance of digital marketing for an e-commerce store:

Equal Opportunity for all

Online marketing presents an equal opportunity to all kinds of the business unlike old days scenario when multinationals and big business house mostly embraced in the market. Small and medium scale businesses or startups now have the assets to perform sales and marketing processes. Before digital marketing, these opportunities were accessible only to giant companies.

Cost-Effective Solution

Digital marketing is more cost-effective than traditional marketing. It allows small businesses with no assets and capitalization to find a superior and financially savvy marketing channel in the marketing. Data says that up to 40% of respondents claimed to get considerable savings by utilizing digital marketing techniques of promotion for their products and services.

Delivers Conversion

With the help of digital marketing, you can easily measure accomplishment by the rate of approaching traffic gets converted into leads, supporters, subscribers, deals or sales. It is not like traditional marketing techniques, there occurs no conversion, where all your marketing endeavours will go to squander.

Generate Better Revenues

Apart from the better conversion rates, DM also assures you for amazing revenues. It conveys heaps of gainful benefits for you and your business appreciates better as well as higher incomes. You can gain better odds of optimizing your business by utilizing different digital advertising strategies.

Interaction with Targeted Audiences

Digital advertising methods effectively cooperate with the target audience and assure result driven interactions. This role makes you sure that the engagements that your clients hope to get while interacting with your business. When you facilitate your clients with legitimate engagement, you came to know your prospect’s needs.

Great for Mobile Consumer

Present-day, mobile marketing is the most advanced way for data dispersal that is also today’s basic correspondence channel. These mobile phones have become a major part of our life. With digital marketing, you can easily connect with those mobile users and convert them into potential customers.

Create Brand Loyalty

The best part of digital marketing is that it can pull the target audience. It also creates a reputation for your brand and might intrigue enough to buy what you bring to the table. When you offer what you guaranteed. It will allow you to build up a superior association with them that ultimately influences them to develop into paying clients.

The 10 Best Mobile Applications to Maintain Weight

The mobile application is incredibly useful in maintaining weight and taking care of health. You can easily download them to your mobile device and use it to track different lifestyle habits like calorie intake and exercise. Some of them hold unique characteristics and different financial rewards and support forums that help keep motivate towards your weight loss goal.

We have rounded up 8 great applications for the support you manage your weight effectively, and work on better and more intelligently:

1. MyFitnessPal

MyFitnessPal presents a huge food database, offering more than 5 million various foods. It works as an effective calorie counter; it can take you less than 5 minutes a day to track your diet and exercise. The app works in conjunction with over 50 devices and application including Fitbit, Garmin devices, Apple Health, etc.

2. MyPlate Calorie Tracker

MyPlate Calorie Tracker is considered as a user-friendly option for losing weight. This application supports you find out which food you eat contains the most calories, allowing you to set personalized daily calorie goals. It also allows you to keep track of your water intake, and create custom goals for micronutrients and macronutrients.

3. Headspace

The Headspace application is a winner as far as bringing the practice of meditation to the masses. It is said that optimal health needs more than just logging 30 minutes at the gym. The Headspace application is on top of bringing the practice of meditation to the masses.

4. Fitness Buddy

If you are looking for a personal trainer in your pocket, then go for Fitness Buddy. It holds more than 100 gym workouts for all types of fitness goals, over 1,000 home workouts, and eight comprehensive fitness programs, animations, instructions, and videos.

5. Aaptiv

A specially designed app for fitness freaks, Aaptiv is the best option for personal training. It is an in-ear personal trainer who takes your exercises to a whole next level. It has over 2,500 audio sessions, 1 personal trainer, creating new courses every week. Aaptiv holds everything you need for comprehensive training.

6. Keel

Get yourself into a fast and effective workout with the Keelo app. This application provides fast-paced workouts by taking leverage of training methods. It lasts from a minimum of 8 minutes to 20 minutes that will provide results when done at least thrice in a week.

7. Sworkit

Do you hate the gym due to the crowd or any other reasons? Sworkit is a perfect option and you do not worry too much about working out. With it, you only need to set your goal and provide your current details, and that is it. You will be able to get a 6-week program with goals to accomplish every week.

8. Lose It!

Have you heard about Lose It! It is goal-oriented applications that will support you accomplish your fitness goals through food and exercise tracking. This app is the perfect way to log what you are eating to reach your goal weight. This app feature makes doing so even easier by taking a photo of your meal to log it and get the calorie count.

How to make AI less biased

With machine learning systems now being used to determine everything from stock prices to medical diagnoses, it’s never been more important to look at how they arrive at decisions.

A new approach out of MIT demonstrates that the main culprit is not just the algorithms themselves, but how the data itself is collected.

“Computer scientists are often quick to say that the way to make these systems less biased is to simply design better algorithms,” says lead author Irene Chen, a PhD student who wrote the paper with MIT professor David Sontag and postdoctoral associate Fredrik D. Johansson. “But algorithms are only as good as the data they’re using, and our research shows that you can often make a bigger difference with better data.”

Looking at specific examples, researchers were able to both identify potential causes for differences in accuracies and quantify each factor’s individual impact on the data. They then showed how changing the way they collected data could reduce each type of bias while still maintaining the same level of predictive accuracy.

“We view this as a toolbox for helping machine learning engineers figure out what questions to ask of their data in order to diagnose why their systems may be making unfair predictions,” says Sontag.

Chen says that one of the biggest misconceptions is that more data is always better. Getting more participants doesn’t necessarily help, since drawing from the exact same population often leads to the same subgroups being under-represented. Even the popular image database ImageNet, with its many millions of images, has been shown to be biased towards the Northern Hemisphere.

According to Sontag, often the key thing is to go out and get more data from those under-represented groups. For example, the team looked at an income-prediction system and found that it was twice as likely to misclassify female employees as low-income and male employees as high-income. They found that if they had increased the dataset by a factor of 10, those mistakes would happen 40 percent less often.

In another dataset, the researchers found that a system’s ability to predict intensive care unit (ICU) mortality was less accurate for Asian patients. Existing approaches for reducing discrimination would basically just make the non-Asian predictions less accurate, which is problematic when you’re talking about settings like healthcare that can quite literally be life-or-death.

Chen says that their approach allows them to look at a dataset and determine how many more participants from different populations are needed to improve accuracy for the group with lower accuracy while still preserving accuracy for the group with higher accuracy.

“We can plot trajectory curves to see what would happen if we added 2,000 more people versus 20,000, and from that figure out what size the dataset should be if we want to have the best of all worlds,” says Chen. “With a more nuanced approach like this, hospitals and other institutions would be better equipped to do cost-benefit analyses to see if it would be useful to get more data.”

You can also try to get additional kinds of data from your existing participants. However, that won’t improve things either if the extra data isn’t actually relevant, like statistics on people’s height for a study about IQ. The question then becomes how to identify when and for whom you should collect more information.

One method is to identify clusters of patients with high disparities in accuracy. For ICU patients, a clustering methods on text called topic modeling showed that cardiac and cancer patients both had large racial differences in accuracy. This finding could suggest that more diagnostic tests for cardiac or cancer patients could reduce the racial differences in accuracy.

The team will present the paper in December at the annual conference on Neural Information Processing Systems (NIPS) in Montreal.

How Artificial Intelligence is Changing SEO

Artificial intelligence and digital marketing are quickly becoming intertwined systems. AI development is occurring at a feverish pace, improving the efficiency with which developers and marketers can do many tasks.

AI goes beyond enhancing market research. Because it doesn’t rely on static methods for data collection, it can do far more to categorize and classify data than almost any market research firm working today.

What this means for techniques like SEO is having tools that can offer data collection for predictive keyword phrases long into the future. In most cases today, SEO is based on the ideas of keyword research and speculation for keywords that can produce excellent results in ranking the webpage.

Stronger algorithms

Search engine algorithms typically have set patterns for the way they rank websites, but with an introduction of AI enhancements to search, marketers may be forced to use the same tools. This is because AI enhancements mean the algorithm can change almost daily. AI enhancements to search engine algorithms can learn from query to query and decide relevant search engine results based off the volume of every search on a much timelier basis.

Introducing SEO tools and software that can adjust keywords on the fly can help to make sure that a page is always in its best position to perform based on current search engine algorithms. Being able to adjust and select main keyword phrases to optimize content regularly or include new variations of content can remain essential to ranking a page.

More relevant, high-quality content

AI simulations can also be extremely helpful with managing technical and on-page SEO. Testing and diagnostic software are only improving with the use of learning algorithms. Performing multiple search engine queries for voice-based search, mobile searches and more could help to make sure that a page is optimized correctly to perform. As most search engine algorithms will place enhancements and search engine ranking to a site that is well optimized for mobile users and fast loading, this can present great opportunities for marketers to optimize further.

AI is also delivering improvements in relevance and quality of content. Google AI tools for search can weed out content that is light on information or simply optimized to rank. Google AI works to check on content relevancy by measuring time spent on each page. AI can go even further with sorting analytics data to check into the content that is producing the best on-page results and categorizing subjects that can keep your viewers returning to the page. Insights on quality of content are giving marketers the tools they need to rank and produce improvements for their viewers too.

These are just a few of the top ways that AI is changing SEO. It seems as though both on a technical side from a search engine perspective and from the side of marketers, an evolution is taking place as these AI systems improve.

Cybersecurity: Eight Ways You Can Boost Employee Buy-In

Cybersecurity threats are an ongoing problem, and one that’s growing: It’s hard to go a month without some organization reporting a breach or other problems. There were, for instance, more reported instances of data breaches in the U.S. during the first half of 2018 than in all of 2013, according to a report on Statista.

Yet, no matter how extensive cybersecurity measures are, the human element is a regular issue: Specifically, how well employees comply with the new procedures, sometimes handed down from people far removed from the employees’ department, who don’t necessarily understand all the ins and outs of how those employees do their daily work. A well-thought-out plan can go sideways, for instance, if team members ignore some of the steps involved to save time or avoid hassles — something quite possible, if they don’t understand why a task exists in the first place.

So how do you ensure individual buy-in, in order to keep your organization protected against data breaches or other security issues? Below, eight members of Forbes Technology Council share their preferred methods for boosting cybersecurity buy-in, as well as discuss why the approaches work. Here’s what they said:

Make Understanding A Priority

Security and compliance actually have two separate goals. A compliance program should focus on the minimally invasive way to meet all public policy and industry rules to prevent fines or other sanctions. Security is about providing the correct level of protection to make an asset an unattractive target for a criminal. When employees understand the objective and outcome, you create buy-in. – Bret Piatt, Jungle Disk

Lay Out All Of The Facts

It has become abundantly clear in the last 12 months in the world of cutting-edge technology companies, that customer data must be protected and respected to a massive degree. Such behavior does not merely grant your firm a competitive advantage. Rather, it is singularly pivotal to your firm’s very survival in the digital age. Make this fact clear to your teams on day one, and every day after. – Zia Yusuf, Velocity

Clearly Define Policies

Often employees are left guessing “what’s our policy?” The ISO Compliance regime allows companies to clearly define those policies or rules, and then audit. Employees aren’t left guessing, for example, whether they can connect their personal Bluetooth fitness tracker. Employees need to feel good about their role in security, model good behaviors, and to be the sentinels when things don’t look right. – Phil Quade, Fortinet

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Make It An Employee-Managed Initiative

Make cybersecurity an “employee-managed initiative.” Involve them in the “internal security committee” that tracks compliance. Communicate cybersecurity’s importance and the impact it has on the business using terms and language they understand. We use comic book-like imagery and sci-fi and comic language in posters across the office that reinforces the message without being suffocating. – AshwinRamasamy, PipeCandy, Inc.

Demo A Break-In

Typical security procedures seem more like theatre than security, forcing employees through repetitive steps with no clear meaning. One of the best ways I’ve found to get employee buy-in is to demonstrate how vulnerable the company is to security violations. You can do this by having employees attempt to break in themselves, or watch someone else do so. It makes security real to watch it fail. – Sean Byrnes, Outlier AI, Inc.

Read more in The Cybersecurity Maturity Model: A Means To Measure And Improve Your Cybersecurity Program

Create Security Roles

Protecting your company against attacks includes having a reliable team of experts in place who will identify risks in your network and business systems, while proactively creating mitigation strategy. Creating security roles and setting limited access required by each position and educating employees by holding yearly cybersecurity seminars will play a vital role in cybersecurity compliance. – Lana Vernovsky, Dynamics Resources

Illustrate Importance

The best way to improve employee buy-in and compliance on cybersecurity features is to illustrate the importance of these issues. Regular training can help improve your employees’ understanding of company policies and will help to strengthen mutual goals, even through interpersonal differences. – Schieler Mew, CS Design Studios

Make It A Part Of New-Employee Orientation

In our industry, we deal with sensitive customer data, including their bank account information. As part of new-employee orientation, I personally ask all new employees to safeguard this data and explain how our policies and training help us exceed customer expectations on protecting their confidential data. – VinayPai, Bill.com

Exercise can help cut depression, schizophrenia symptoms

London, Oct 2 (PTI) Exercising two or three times a week can reduce symptoms of depression and schizophrenia, according to experts who suggest that a structured physical activity regime can complement standard medication and psychotherapy to better treat mental health conditions.

Based on compelling evidence from a meta-review of existing research, the European Psychiatric Association (EPA) has issued new guidelines to promote exercise as a key additional treat for mental health conditions.

A global team of scientists collaborated on the new EPA guidelines published in European Psychiatry, which suggest a regime of structured exercise should be added to standard medication and psychotherapy.

Researchers found that exercise can effectively reduce mental health symptoms, improve cognition, and strengthen cardiovascular fitness among patients with depression and schizophrenia.

Their analysis demonstrates that moderate intensity aerobic exercise, two to three times a week for at least 150 minutes, reduces symptoms of depression and schizophrenia and improves cognition and cardiorespiratory health in schizophrenia spectrum disorders.

Evidence also supports combining aerobic with resistance exercise to improve outcomes for individuals with schizophrenia spectrum disorders and major depression.

The EPA guidance was also endorsed by the International Organization of Physical Therapists in Mental Health (IOPTMH).

“Our comprehensive review provides clear evidence that physical activity has a central role in reducing the burden of mental health symptoms in people with depression and schizophrenia. Our guidelines provide direction for future clinical practice,” said Brendon Stubbs, from King’s College London in the UK.

“Specifically, we provide convincing evidence that it is now time for professionally-delivered physical activity interventions to move from the fringes of healthcare and become a core component in the treatment of mental health conditions,” said Stubbs.

Long-term outcomes and full recovery among people with mental illness are often poor, even for those receiving appropriate medications. People with mental illness also experience very poor physical health and drastic physical health inequalities, which lead to this population dying up to twenty years prematurely.

“Signs and symptoms of premature cardiovascular diseases can be identified early in the disease course of mental disorders, when patients are in their thirties to forties,” said Kai G Kahl from Hannover Medical School in Germany.

The study provides evidence that physical activity plays an important role in reducing cardiovascular symptoms and improving physical health and fitness.

Artificial Intelligence can Empower Existing Education System

When discussing artificial intelligence, we form pictures of hi-tech machines and robots that are as efficient as the human mind. Amidst all this, the basic fact that AI is nothing but an advancement in technology is forgotten.

Today, AI has left no sector untouched by its innovations and novelty. Its contributions to the educational sector, especially, have been most beneficial because education forms the basis of all knowledge and progress.

Therefore, empowering and updating educational systems with AI has resulted in better impartment of knowledge and thorough and worthy evaluation of assessments by making them less of a blackbox.

For example, if a child is unable to grasp the concept of fractions, the system can look at whether the child was absent when that concept was taught, whether the teacher has historically had issues teaching this concept or whether the child is weak in prerequisites that would help him understand the concept.
Artificial intelligence, with its digital and dynamic nature, is progressing at an accelerated pace. A profound impact is also seen in the nature of services within the education sector.

Thus, we can conclude that the use of AI in the education sector, especially at the school level, has not only helped in easing the administrative burden but has transformed the realm of teaching and learning as well.
With AI, it has become possible to explore more and discover the vast depths of the education sector effectively.

Why B-School is initiating teaching Artificial Intelligence and Machine Learning

There is no doubt that Artificial Intelligence (AI) and Machine Learning (ML) are the two hot buzzwords right now. Examples of how AI and ML based disruptive practices are replacing traditional businesses on one hand while creating new business opportunities, on the other hand, are many.
In a nutshell, AI is the broader concept of machines being able to carry out tasks in a ‘smart’ way while ML prescribes the set of such ‘smart’ rules that the computer figures itself out.

2 lakh new jobs coming up in Artificial Intelligence sector
It is no exaggeration to say the current and the future belongs to AI and ML. It is estimated that in USA, there are more than 10,000 positions available at top employers across the country and additionally, the country is estimated to have 2, 50,000 open data science jobs by 2024.

Elsewhere — in EU, Canada and China — the demand for AI related jobs are not only in high demand, they are a few notches above the median salary.

India too is not far behind other countries in terms of AI hiring. Some estimates expect a 60 per cent rise by this year due to increasing adoption of automation, and the related IT industry will require 50 per cent more workforces equipped with digital skills.

All this translates to around 2 lakh new jobs this year.

Educational institutes need to provide future AI employees
Obviously, where the demand is there, educational institutes are expected to be at the forefront in bridging the gap. The question is — why are AI and ML finding its way into the B-school curriculum when it appears that AI and ML are still the forte of computer scientists, programmers and mathematicians?

Almost all of the top 20 business schools in India are now offering specialisations in Business Analytics while some of them are offering specialisation tracks in AI ML.

The answer is evident if we closely inspect two things:
One – what does AI ML typically do or can do?
Two — what are the expected roles of business schools?

Decision-making based on data inputs isn’t anything new: Benefits of AI and ML
To understand what AI and ML bring, we must acknowledge that decision-making based on data inputs isn’t new. Indeed, the traditional courses offered in B-schools related to decision sciences used computational algorithms as well as statistical models to solve problems.

Most of these algorithms are over a century old. However, our getting to a solution was limited by the way we deemed fit to go about it.

For example, logistic regressions, the favourite technique for many to solve binary classification problems (problems that needed us to correctly predict one group from the other), required us not only to identify the factors but also how they must be related to each other.

Undiscovered and hidden patterns in the data eluded us. ML solved this by letting the algorithms learn on its own, from the data and from itself the best route to classify.
Thus, the various boosting models, ensemble techniques as well as neural network models connected dots in the data which improved upon the results traditional algorithms could not.

The second finesse AI and ML brought are the unstructured data. This is what defines them and has not only gives us additional insights, it helps us address and tackle issues which otherwise we struggled with.
We now solve traditional problems using data obtained from video cameras, speeches, texts, social media interactions, images, satellite images etc. We no longer need to only focus on historical data to gauge stock market sentiments, often analysing texts in shareholder reports gives us better accuracy.
To estimate the footfalls in shopping malls, traditional survey methods are getting replaced by images of cars in car parks, to design agricultural forward contracts, satellite images of agricultural plots provide invaluable information.

Simply put, AI and ML have allowed us to access, process and utilize data in an efficient way to solve complex problems – both traditional as well as those posed in the new ecosystem. This is where B-schools fit in, almost by design.

B-school curriculums have always pride themselves for creating efficient decision makers. Managers are expected to decide and then execute their decisions. Often, such decisions must be made based on limited data and experience and yet must be made quickly.

It is not surprising, therefore, that some of those decisions face ex-post criticism, and perhaps rightly so. Decisions based on AI-ML are likely to reduce such errors.
For one, most of the unstructured data are not open to manipulations, and two, analysis based on that data reduces the human bias largely.

What is missing with AI and ML: the power of human intuition
However, there is an intrinsic part of human decision making that can’t be separated — intuition.
To a machine, a data is a set of numbers arranged in rows and columns where the column headings have no meaning! To a manager, the column headings are the most important. It is his training and experience that allows him to retain what is essential and cull out the rest.
Unlike a data scientist, whose journey with ML techniques is almost entirely about the column headings, he can trade-off accuracy for insight.

For example, an ML technique may always pick up ethnicity of an individual to determine whether he is worthy of receiving a loan, but a manager can use insights to exclude ethnicity as it may violate some fundamental principles!

A successful AI ML programme in B-schools must ensure that this balance stays. Curriculums must focus on ML techniques complimenting the managerial decision and not substitute them.
While Indian business schools were reasonably slow in riding the business analytics wave, it appears they want to remain ahead of the AI ML curve this time.

AI to enhance new job and employment engagement

Contrary to popular belief, Artificial Intelligence (AI) will have a “positive impact” on workplaces as it would create new job roles besides enhancing employee engagement and decision-making, a report said on September 6.
Artificial Intelligence to diversify human thinking
According to a Tata Communications’ study based on inputs from 120 global business leaders, Artificial Intelligence will diversify human thinking rather than replace it.

Artificial Intelligent: Statistics
As per the study, 90 per cent leaders agree that cognitive diversity is important for management

75 per cent respondents expect AI to create new roles for their employees
93 per cent believe that AI will enhance decision-making
AI to help people become more productive
“While AI will replace some tasks, it will also create new ways of working, new jobs and new roles in companies. AI will also help people as well as organisations become more productive. It’s not man vs machine, rather man and machine working together,” Tata Communications CEO and MD Vinod Kumar told PTI.

The report further noted that Artificial Intelligence has the potential to assess each employee’s skills and innovation priorities, and suggest activities to spark creative thinking throughout the organisational hierarchy.
This can democratise the creative process and increase engagement of all workers.

More focus on communication and innovation
AI will also free employees from most tedious repetitive tasks, allowing them to focus more on communication and innovation.
“Work will move from being task-based to strategic, enabling workers to enhance their curiosity and creative thinking,” it added.
According to Professor Ken Goldberg, a leading AI researcher at UC Berkeley, there is fear now that AI will surpass human thinking and that machines are superior to humans.

“Robots and AI are not going to take away this creative, insightful, empathetic aspect of almost every job,” Goldberg noted.