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The annals of the internet are replete with tales of warning, ranging from apocalyptic scenarios that never materialised - such as the Y2K bug - to groundbreaking technological advancements that were once widely celebrated, but have now become insignificant elements in the fabric of the world's digital landscape.

Joe Baguley, VP and CTO, VMware EMEA | image supplied

The nature of technology and its cycle of self-perpetuating betterment means that there will always be the next big thing. In this regard, step forward ChatGPT and its subsequent updates such as GPT4.

Since the tail end of 2022, ChatGPT has been that thing. The white knight to solve the ills of modern society. Depending on which news source you read, it will improve; how we study, write, research, code, work, create and evolve in the workplace. There is more, of course, because the potential use cases are endless, but there are also grounds to sound the klaxon of caution.

For a start, weve been here before. People of a certain age will recall the fanfare to which Wikipedia arrived. That too was going to revolutionise how we learn and research. That too was going to change the world. And did it? Im afraid not quite.

What happened is what is almost certain to happen to ChatGPT and the innovations that follow after it. That it evolved to become a tool, albeit an incredibly useful one. A tool in the box that helps our day-to-day lives alongside the other incredible tools that have been developed in recent years, like Alexa or next-day delivery. On its own, will it change how we operate? Almost certainly. Will it change the world? Almost certainly not. Like Wikipedia, we will grow to learn its limits.

Perhaps the key question is, where and how far will it catapult society? The excitement around ChatGPT stems from what it is, not necessarily what it does. By consumerising an artificial intelligence (AI) product into something everyone can use it has opened our eyes to the realities of an AI-infused world.

The fact is, that this is happening already in sectors such as healthcare (for early detection, image scanning and analysis and predictive care to name a few examples) and manufacturing (for instance, to increase production capabilities and cut emissions) but those applications are limited only to a select few, hence the massive disparity in reaction.

The reality is, we are already in an AI-infused world of which ChatGPT is simply the next chapter and it wont be the last. It is, however, a very clear signpost as to where we go from here. The Genie is out of the bottle as far as the positive impacts AI can have but beyond the excitement and appetite to use it as a digital travelator to get to the next point more quickly, society needs to harness it appropriately.

This means starting at an education-level. Were already seeing reports of it being used in exams. In a recent test, it passed law exams in four courses at the University of Minnesota and another exam at University of Pennsylvanias Wharton School of Business, according to this story on CNN. Unsurprisingly, were also seeing tools being developed to detect and prevent its usage. This creates a developmental cat and mouse whereby students will want to use it both because they cant, and because they shouldnt.

But this sends out a wrong message and arguably fuels the fire of scepticism around AI. Knowing that theyre here to stay, we should accept ChatGPT and other AI tools into education and encourage people on how to best engage with them. Essentially, to use every tool in the box to get the job done better and quicker because this is the world of work they will walk into.

The same message applies to businesses. It is far too linear to suggest that these types of AI advances alone will kill job X or Y while that, in and of itself, isn't the end of the chain anyway. Just because ChatGPT can create job adverts, brand copy or legal letters does not mean businesses ought to dismiss their HR, marketing and legal teams. Far from it.

These teams are more vital than ever because their years of experience, diverse backgrounds, soft human skills and unique personalities are not only what is required to get a job done today, theyre the foundation of society tomorrow.

The cleverest businesses and the ones who will come out on top in the end will be the ones who get to grips with these types of innovation. To learn them, incorporate them into day-to-day operations and evolve the skills of their teams accordingly and in lockstep with any new development. Microsofts new 365 Copilot is just another example of such tech rapidly being integrated into existing business tools.

The leaders will be the companies that embrace AI to do something better than they are doing today without jettisoning the people and skills required to adapt to our ever-changing world.

Another way to look at it is that early machine code developers didnt disappear because we invented compilers - what in fact happened was that more and more people could access the power of computing as coding became progressively easier and easier with each generation; with generative AI such as GPT4 now generating code and creating websites from sketches it will just enable even more people to engage and create.

We will, of course, reach a point where enough is enough as far as AI is concerned. Perhaps in years to come well reach that moment and identify this period as the start of that journey, but it is a long way from now. What it will look like is an age-old question. A moral and societal issue far too deep to cover here, though Professor Stuart Russell did so expertly in his 2021 Reith Lectures.

All we have now is a new technology, no more, no less. ChatGPT is a computer system taking big steps forward in communication and generation, and that is an amazing advancement, but using this tool and combining it with other tools alongside the scientific method and human intelligence is where the real excitement is. In short order we are already discovering its flaws and limits.

Thinking critically about combinations and application is how and where we can realise the potential of AI to change lives for the better. Once again we should look at how technology augments humans and advances us all. In order to do that, we first have to understand limitations and that were always in the middle of history, never the end.

Link:
ChatGPT and GPT4: a fresh starting point for society or Wikipedia 2.0? - Bizcommunity.com

Anyone who has held paper and a paintbrush knows the effort it goes into making a piece of art. The effort went for a toss last year when our timelines across social media platforms got inundated by AI-generated artworks, stunning yet scary to fathom. Machines replacing human labour is something we have often heard, that it could happen to artists was somewhat inconceivable. And that an AI tool can generate artwork by just mere prompts can leave any artist uneasy.

While artificial intelligence (AI) is doing its thing, an academic research group of PhD students and professors at the University of Chicago, USA, have launched a tool to thwart it. Glaze is their academic research project aimed at thwarting AI from mimicking the style of artists. What if you could add a cloak layer to your digital artwork that makes it harder for AI to mimic? Say hello to Glaze, it says on its website.

Also read: Heres how much Mukesh Ambanis chef earns; Check salary and compensation here

Glaze is a tool to help artists to prevent their artistic styles from being learned and mimicked by new AI-art models such as MidJourney, Stable Diffusion and their variants. It is a collaboration between the University of Chicago SAND Lab and members of the professional artist community, most notably Karla Ortiz. Glaze has been evaluated via a user study involving over 1,100 professional artists, Glazes website reads.

Glaze Beta2 has been made available for download starting March 18.

It is a normal exercise for several artists to post their work online to build a portfolio and even earn from it. However, generative AI tools have been equipped to create artworks in the same style after just seeing a few of the original ones.

This is what Glaze aims to thwart by creating a cloaked version of the original image.

Glaze generates a cloaked version for each image you want to protect. During this process, none of your artwork will ever leave your own computer. Then, instead of posting the original artwork online, you could post the cloaked artwork to protect your style from AI art generators, it says.

The way it happens is, when an artist wants to post her work online but does not want AI to mimic it, she can upload her work, in digital form, to Glaze. The tool then makes a few changes, which are hardly visible to the human eye. We refer to these added changes as a style cloak and changed artwork as cloaked artwork, it says. While the cloaked artwork appears identical to the original to humans, the machine picks up the altered version. Hence, whenever it gets a prompt, say Mughal women in south Delhi in MF Husain style, the artwork generated by AI will be very different from the said artists style. This protects the artistic style to be mimicked without the artists consent.

While Glaze Beta2 is available for download, the research is under peer review.

Glaze, however, has its share of shortcomings. Like changes made to certain artworks that have flat colours and smooth backgrounds, such as animation styles, are more visible. While this is not unexpected, we are searching for methods to reduce the visual impact for these styles, the makers say.

Also, unfortunately, Glaze is not a permanent solution against AI mimicry, they say. It is because, AI evolves quickly, and systems like Glaze face an inherent challenge of being future-proof. Techniques we use to cloak artworks today might be overcome by a future countermeasure, possibly rendering previously protected art vulnerable, they add.

Although the tool is far from perfect, its utility for artists is beyond any doubt. The issue becomes all the more glaring when one considers multiple artists who find it tough to earn a decent living through this craft. The AI companies, on the other hand, many of whom charge a subscription fee, earn millions.

Also read: Akash Ambani, Karan Adani to Ananya Birla: Here are heirs and heiresses of Indias most prominent business empires

Rules and laws are yet to catch up with the pace at which AI is advancing, leaving little for artists to fight with to protect their work. This is where projects like Glaze rise to prominence.

It is important to note that Glaze is not panacea, but a necessary first step towards artist-centric protection tools to resist AI mimicry. We hope that Glaze and followup projects will provide some protection to artists while longer term (legal, regulatory) efforts take hold, it says on Glazes website.

Meanwhile, the technology has already hopped to the next stop. The startup Runway AI has come up with a video generator that generates videos, merely by a prompt.

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This project at University of Chicago aims at thwarting artificial intelligence from mimicking artistic styles details - The Financial Express

Android browsers come with a specific search engine set as their default. Google Search is the most popular on most of these browsers. Its convenient for most people but what if you want to switch to a different search engine?

Changing your default search engine on any browser is easy. In this guide, well show you how to change your default search engine in the most popular Android browsers.

Chromes default search engine is Google Search which also happens to be the biggest search engine on the internet. However, there are many other search engines with fewer privacy concerns than Google.

To change your default search engine on Chrome, follow these steps:

Samsung Internet is the default browser on Galaxy smartphones. Its default search engine is Google Search. Heres how to change to a different search engine on Samsung Internet:

One of the best things about the Firefox browser on Android is that you can manually add the search engine of your choice if its absent from the available options. Heres how to switch your default search engine in Firefox:

Brave is a privacy-focused browser and uses its own proprietary search engine. The problem with most non-Google search engines is their unreliability when it comes to finding some types of information. If you want to switch back to Google Search or any other search engine on Brave, follow these steps:

Being from Microsoft, Edges default search engine is Bing. If you want to change to Google Search or a privacy-focused search engine like DuckDuckGo, heres how to go about it:

Opera comes with Google Search as its default search engine. You can change the default search engine to any of the following options that Opera offers if you want to: Yahoo, Bing, DuckDuckGo, Ecosia, Startpage, Amazon, eBay, or Wikipedia. Follow these steps:

Opera Mini is a lightweight mobile version of Opera Browser you can use if your device has any network or performance issues. Unfortunately, you must contend with Google and Wikipedia as the only available default search engine options in Opera Mini. To switch to Wikipedia, tap the search engine icon on the left of the URL bar and select Wikipedia.

To use any other search engine you can either enter it manually in the URL bar or add it to Opera Minis Speed Dial on the homepage.

To do this:

UC Browser comes with eight default search engine options. Switching from one to the other is easy:

Most browsers on Android will let you switch your default search engine but with limited options. Firefox would be the best in this department because it lets you enter your own custom search engine in case you miss it from the provided options. Samsung Internet has the most default search engine options.

Some specialist browsers like the popular privacy-focused DuckDuckGo will restrict you to one search engine. In this case, you can only use DuckDuckGos proprietary search engine if its your main browser.

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How to Change the Default Search Engine in the Most Popular ... - MUO - MakeUseOf

Contrive Datum Insights Pvt Ltd

According to a market research study published by Contrive Datum Insights, North America is the largest market for AI, with the United States and Canada being major players in the development and adoption of AI technologies.

Farmington, March 22, 2023 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence Market Size Was Valued At Around USD 136.55 Billion In 2022 And Is Projected To Expand USD 1,811.75 Billion, With a CAGR Of 37.3% From 2023 To 2030. The AI market is made up of several smaller markets, such as natural language processing, machine learning, deep learning, computer vision, and others. These technologies are used a lot in many different fields, like healthcare, the auto industry, finance, retail, and more.

At the moment, North America is the biggest market for AI. Europe and the Asia-Pacific region come next. Some of the main things that are making the AI market grow are the growing use of AI in different industries, the growing demand for products and services that use AI, and the growth of big data.

IBM, Google, Microsoft, Amazon, Intel, NVIDIA, and other companies are some of the most important ones in the global AI market. These companies put a lot of money into research and development to come up with new AI-based products and services and to improve the speed and accuracy of AI systems they already have.

Request Sample Copy of Report Artificial Intelligence Market Size, Share & Trends Estimation Report By Solution Outlook (Hardware, Software & Services), By Technology Outlook (Deep Learning, Machine Learning, Natural Language Processing (NLP) & Machine Vision), By End User Outlook (Healthcare, Robot-Assisted Surgery, Virtual Nursing Assistants, Hospital Workflow Management, Dosage Error Reduction & Clinical Trial Participant Identifier) By Region, And Segment Forecasts, 2023 - 2030, published by Contrive Datum Insights.

Segmentation Overview:

Solution Insights:

In the AI services market, vendors offer consulting, integration, and support services to help businesses set up and maintain AI technologies.

Story continues

Each of these solution outlook segments gives businesses and organisations in the AI market a different set of chances and problems. Understanding the pros and cons of each segment can help businesses come up with good plans for using AI to improve their operations and drive growth.

Technology Insights:

In the technology outlook segment analysis of the global artificial intelligence market, the different kinds of AI technologies that are used now or are likely to be used in the future are listed. Some of the most important technology outlooks in the AI market are:

Deep learning is a type of machine learning in which neural networks are used to process and analyse complicated data. It is used to do things like recognise speech, process images, and translate languages.

End User Insights:

The global artificial intelligence market's end user segment analysis shows which industries and sectors are using AI technologies. Some of the most important types of end users in the AI market are:

AI is being used in the manufacturing industry for things like predictive maintenance, quality control, and optimising the supply chain. AI is also being used to make manufacturing operations more productive and cut costs. Agriculture, energy, and education are some other fields that are using AI technologies.

Regional Outlook:

North America is the biggest market for AI, and the US and Canada are two of the biggest players in developing and using AI technologies. The area has a strong ecosystem of AI startups and technology companies, and the people who work there are very skilled.

AI is becoming more popular in Latin America, where countries like Brazil and Mexico are investing in research and development. The area has a lot of people and a growing digital economy, which makes it a good place for AI to be used in areas like finance and e-commerce.

Buy this Premium Research Report@https://www.contrivedatuminsights.com/buy/248582

Scope of Report:

Report Attributes

Details

Growth Rate

CAGR of 38.5% from 2023 to 2030.

Revenue Forecast by 2030

USD 1,811.75 Billion

By Technology

Hardware, Software, Services, Other

By Technology

Retail, Advertising & Media, Automotive & Transportation, Agriculture, Manufacturing, Other

By Law

Deep Learning, Machine Learning, Natural Language Processing (NLP), Machine Vision, Other

By End-use

Healthcare, Robot-Assisted Surgery, Virtual Nursing Assistants, Hospital Workflow Management, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, Automated Image Diagnosis, BFSI, Risk Assessment, Financial Analysis/Research, Investment/Portfolio Management, Other

By Companies

Advanced Micro Devices, AiCure, Arm Limited, Atomwise, Inc., Ayasdi AI LLC, Baidu, Inc., Clarifai, Inc., Cyrcadia Health, Enlitic, Inc., Google LLC, H2O.ai., HyperVerge, Inc., International Business Machines Corporation, IBM Watson Health, Intel Corporation, Iris.ai AS., Lifegraph, Microsoft, NVIDIA Corporation, Sensely, Inc., Zebra Medical Vision, Inc.

Regions andCountries Covered

North America: (US, Canada, Mexico, Rest of North America)

Europe(Germany, France, Italy, Spain, UK, Nordic Countries, Benelux Union, Rest of Europe)

Asia-Pacific (Japan, China, India, Australia, South Korea, Southeast Asia, Rest of Asia-Pacific)

The Middle East & Africa(Saudi Arabia, UAE, Egypt, South Africa, Rest of the Middle East & Africa)

Latin America(Brazil, Argentina, Rest of Latin America)

Rest Of the World

Base Year

2022

Historical Year

2017 to 2022

Forecast Year

2023 to 2030

Market Dynamics:

Latest Trends:

Advancements in technology: As machine learning, deep learning, and natural language processing get better, AI gets more accurate, efficient, and cost-effective. AI is being used in more and more industries because of these changes in technology.

Rising need for personalization: Consumers want more and more personalised experiences from businesses, and AI can be used to analyse and process large amounts of data to create customised experiences for customers.

Cost savings: AI can help businesses save money by automating processes and optimising operations. This makes businesses more efficient and cuts down on labour costs.

Improved decision-making: AI can help organisations make data-driven decisions by analysing large amounts of data and giving insights that humans may not be able to see.

The global AI market is growing because of how fast technology is changing, how much data is being made, and how many people want automation and personalization.

Restraining Factors:

Integration with legacy systems: Many organisations have legacy systems that aren't compatible with AI technologies, which can make integration and implementation hard and expensive.

Lack of understanding and trust: People and businesses may not fully understand and trust AI technologies, which could slow down their use and investment.

Regulatory hurdles: AI regulations are still in their early stages, so it's not clear how AI technologies will be governed. This uncertainty could make it harder to invest and get things done.

These things could slow the growth of the global AI market, but continued investments in talent development, ethical guidelines, and regulatory frameworks, as well as more awareness and understanding of AI, could help to overcome these problems.

Opportunity Factors:

Improved customer experience: AI can be used to analyse customer data and give customers more personalised experiences, which makes customers happier and more loyal.

Enhanced cybersecurity: AI can be used to find and stop cyber threats, which improves security and makes cyber attacks less likely.

Increased accessibility: AI can be used to make products and services easier for people with disabilities to use, making them more accessible and welcoming.

Improved decision-making: AI can be used to look at a lot of data and give insights to help people make decisions based on the data.

Cost savings: AI can help businesses save money by automating processes and improving how they work. This makes them more efficient and saves money on labour costs.

There are a lot of opportunities in the AI market, which has the potential to drive innovation, improve customer experiences, and give businesses in all fields new ways to make money. As technology keeps changing and getting better, businesses that invest in AI are likely to get a competitive edge in their markets.

Challenges Factors:

Lack of skilled professionals: There aren't enough data scientists, machine learning engineers, and AI researchers who are skilled in AI right now. This can make it hard for companies to find the people they need to build and use AI technologies.

Regulatory hurdles: AI regulations are still in their early stages, so it's not clear how AI technologies will be governed. This uncertainty could make it harder to invest and get things done.

Data quality: The accuracy and reliability of AI systems depend on the quality of the data used to train AI models. AI models that are biased and wrong can be the result of bad data.

These problems could make it hard for AI technologies to grow and be used by more people. To solve these problems, governments, businesses, and other stakeholders will need to work together to create ethical guidelines, regulatory frameworks, and talent development programmes that support the development and use of AI in a responsible way.

Key Segments Covered:

Top Market Players: Advanced Micro Devices, AiCure, Arm Limited, Atomwise, Inc., Ayasdi AI LLC, Baidu, Inc., Clarifai, Inc., Cyrcadia Health, Enlitic, Inc., Google LLC, H2O.ai., HyperVerge, Inc., International Business Machines Corporation, IBM Watson Health, Intel Corporation, Iris.ai AS., Lifegraph, Microsoft, NVIDIA Corporation, Sensely, Inc., Zebra Medical Vision, Inc., and others.

By Solution

By Technology

By End-use

Healthcare

Robot-Assisted Surgery

Virtual Nursing Assistants

Hospital Workflow Management

Dosage Error Reduction

Clinical Trial Participant Identifier

Preliminary Diagnosis

Automated Image Diagnosis

BFSI

Risk Assessment

Financial Analysis/Research

Investment/Portfolio Management

Others

By Law

Regions andCountries Covered

North America: (US, Canada, Mexico, Rest of North America)

Europe: (Germany, France, Italy, Spain, UK, Nordic Countries, Benelux Union, Rest of Europe)

Asia-Pacific: (Japan, China, India, Australia, South Korea, Southeast Asia, Rest of Asia-Pacific)

The Middle East & Africa: (Saudi Arabia, UAE, Egypt, South Africa, Rest of the Middle East & Africa)

Latin America: (Brazil, Argentina, Rest of Latin America)

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Artificial Intelligence Market Is Expected To Reach USD 1,811.75 Billion by 2030, Grow at a CAGR Of 37.3% during Forecast Period 2023 To 2030 | Data...

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