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Artificial Intelligence as a Psychiatrist – The Media Line

Al-Masry Al-Youm, Egypt, June 16

My son, Tariq, sent me snippets of ChatGPT that show how some patients prefer Artificial Intelligence (AI) over the support they would otherwise receive from a psychiatrist. For the last six decades, technologists have been on a quest to crack the holy grail of mental healthcare: could it be a computer that listens to our problems and assists us in understanding ourselves, helping us to untangle our conflicts? The recent attempt to simulate Sigmund Freud using AI illustrates the valueand riskof relying on technology to improve psychological well-being. Companies such as Woebot and Koko aim to replicate the experience of a live human therapist using technology. Despite the impressive technological advances, however, mental health experts caution that there is no magical solution for our issues and challenges. The complexity of the human soul is too great to be understood through an integrated social, biological, and psychological lens. An appreciation of lifes histories, traumas, pains, and experiencesof what weve learned, wanted, and rejectedall come into play. Nevertheless, experts suggest that AI and other technologies may still be able to deliver tangible benefits to patients despite their limitations. AI-enabled technologies such as telemedicine, crisis hotlines, and self-help tools can provide effective and targeted psychological support. For example, AI facilitates reframing a patients negative thoughts into positive ones by encouraging individuals to view mistakes as opportunities to learn and grow, rather than giving in to the belief that such lapses are damning. In this way, people of all backgrounds can learn to confidently address their mental health issues, reframe their thoughts, and take control of their actions to enrich the quality of their lives. Experts in technology and mental health care are posing serious questions and expressing doubt about whether AI could act as more than an assistant in psychiatry. Using AI as a computer therapist to openly discuss intimate and sensitive issues is not a viable solution. Talking to oneself, sending texts, and other forms of self-help are not long-term cures. However, digital therapies are not intended to replace human specialists but rather supplement their efforts. Modern technology can assist even when doctors are unavailable. AI could also be used to assist with training new volunteers and interns, as well as facilitating secure and confidential recordkeeping. Ultimately, AI could potentially help us uncover mysterious aspects of the human psyche and behaviors unknown to date. Khalil Fadel (translated by Asaf Zilberfarb)

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Artificial Intelligence in the Built Environment | Ingram Yuzek Gainen … – JD Supra

Artificial Intelligence (AI) is everywhere. Seemingly the latest technology buzzword these days, new (and not so new) AI applications are being implemented and talked about everywhere you turn. As my colleague, Amanda Grannis recently wrote for Ingrams Real Estate Report, AI has permeated nearly every aspect of the virtual landscape and is now presenting an impact on the physical environment as well. To learn more about the application of AI in the architecture, engineering and construction (AEC) industry, my colleague and fellow NFT Newsroom contributor Rachel Hong and I attended an event hosted by the Professional Women in Constructions (PWC) Professional Development Advisory Council (PDAC) last week: How Will AI Benefit the Built Environment?

Moderated by Dan Conery, Senior Director of Product Strategy & Management at Trimble Inc. an industrial technology company, PDACs event hosted panelists from different segments of the AEC industry as they discussed the ways they and their teams are using AI in their work and how this technology has already and will continue to impact the industry. Panelists included Denis Leff, Director of Digital Engineering at Suffolk Construction, a national leader in general contracting, Aman Krishan, Principal at HOK, a global design, architecture, engineering and planning firm, Jeff Siegel, Director of Digital Transformation Solutions at HNTB, an infrastructure design firm, and Karolina Torttila, Director of AI at Trimble Inc.

The panel event opened with a discussion of the history of AI and an overview of what goes into developing and implementing effective machine learning applications before delving into each panelists experience with AI in the industry. I was surprised to learn how deeply involved the AEC already is with AI. From AI assisted programs that turn two-dimensional doodles into 3D shapes to AI monitoring of construction site video feeds in real time to the compilation of a complete inventory of traffic signals and other equipment by an AI powered computer using only videos and photos of the area (in six seconds!), the possible applications of AI in the built environment truly are endless.

One topic of conversation that I found particularly interesting at PDACs event was the discussion of potential future uses of AI technology in the connection with the improvement of residential and commercial spaces. For example, imagine a world where your HVAC system could not only sense the temperature of your home, but could also factor in a myriad of other data, including real time information about incoming weather patterns and adjust accordingly to anticipate your heating and cooling needs in real time. Your home or commercial space would not only be more comfortable, but likely would be more energy efficient. AI-driven scanning technology could also be used to make renovations less costly and run more smoothly. Who hasnt had a renovation project knocked off course at least slightly by the discovery that something hadnt been installed quite the way you expected? With AI-powered technology, a contractor or designer could scan the space and the AI application could compare the information it gathers to the as-built drawings in order to discover and resolve potential conflicts before a single hammer is picked up. This would save both time and money.

Of course, with great power comes great responsibility and AI, which can only be as accurate as the data is has access to, is no different. As youll read in our NFT Newsroom next week, it is crucial that the results generated by any AI-powered application, regardless of the industry its used in, must be verified before being implemented.

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Artificial intelligence could hurt education at its most basic level | Mint – Mint

Technology changes human beings and society. Electricity changed night-time for humanity. Agriculture initiated settlements and civilization. Vaccines and antibiotics got many diseases eradicated or under control; human life expectancy has doubled in less than a century. These technologies and their effects have made our world what it is. The impact of technology on our biology is also profound and perhaps less noticed. Fire, the technology to cook food, has altered our digestive system over the evolution of our species to differ from that of other mammals.

Technology changes human beings and society. Electricity changed night-time for humanity. Agriculture initiated settlements and civilization. Vaccines and antibiotics got many diseases eradicated or under control; human life expectancy has doubled in less than a century. These technologies and their effects have made our world what it is. The impact of technology on our biology is also profound and perhaps less noticed. Fire, the technology to cook food, has altered our digestive system over the evolution of our species to differ from that of other mammals.

Technologys influence on individual behaviour can accumulate to cause significant social effects. Agriculture was one such case. We are living through another such period of behavioural change, which may or may not cause a permanent and transformative social effect, depending on what we do now. Smartphones and social media are fraying social connections. While we rue this, we rarely take stock of what kind of tsunami all this is accumulating towards.

Technologys influence on individual behaviour can accumulate to cause significant social effects. Agriculture was one such case. We are living through another such period of behavioural change, which may or may not cause a permanent and transformative social effect, depending on what we do now. Smartphones and social media are fraying social connections. While we rue this, we rarely take stock of what kind of tsunami all this is accumulating towards.

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The psychological well-being of adolescents around the world began to decline after 2012, in conjunction with the rise of smartphone access and increased internet use." This is the conclusion of research based on data from 37 countries by Jean M. Twenge, Jonathan Haidt and others. Twenges book Generations goes deeper into the issue. The deterioration in the mental health status of teens is shocking. Self-harm cases, hospital admissions and suicide rates have doubled since 2012. For such a large-scale phenomenon, proving causality will take more time, but the direct effect of smartphones and social media is inescapable.

Another anecdotally evident and now reasonably well researched effect of this digital complex is on attention. This complex is the beachhead of the attention economy. It thrives on grabbing and monopolizing our attention, which is one of the most important cognitive resources for human beings. Unless you pay attention, nothing happens. From relationships and learning to problem solving and development, everything requires attention. Everything suffers if your attention is hijacked.

Lets consider one specific effect of the digital complex on attention. Those who mostly read on digital media read shallowly. Evidence (for example, read Maryanne Wolf and Nicholas Carr) is accumulating that comprehension of the matter being read, its retention and the ability to use it has declined. It has even more pernicious effects on children who mostly read digital formats. fMRI studies are showing that regions of the brain involved in reading are under-developed for primarily digital readers. People are losing their capacity to read meaningfully and usefully.

Technology is not all bad. Electricity, agriculture and fire have been mostly good for us, while nuclear technology took us to the precipice. Stupendous scientific progress and its applications are the foundations of modern life. However, advances have negative effects too, some of them unintended or unexpected. As negative consequences seem unavoidable, efforts to regulate and control new technologies are crucial. This is equally or more important for the technology that is roiling the world today both with wild hopes and dystopian fears: Artificial Intelligence.

Lets consider only one aspect of AI, its effects on education. Without doubt, AI can be used in beneficial ways. For example, AI-based continuous assessment of students learning can help develop teaching plans customized to every students pace and interest. Or any learner can use AI-based training or learning modules as though she has a personal tutor. AI applications in education will face the same challenges that any information and communication technology platform does. This has to do with the nature of human learning, which is essentially a social-human process. But lets not dwell on that. The deepest apprehension is about AIs effect on the basics of education.

With AI in the hands of students, home assignments are problematic. With rapid AI advances, almost anything that you ask students to do, they can ask AI to do for them. This is a minor manifestation of a deeper phenomenonthat of outsourcing thinking. A student getting AI to do an assignment is outsourced thinking. The same can be done by teachers; they could ask AI to develop lesson plans or assess student responses.

AI will enable the possibility of outsourcing thinking for all. The human temptation to follow the path of least resistance may overwhelm other considerations. It is a distinct possibility that education, which is significantly about developing the ability to think, will degenerate and implode in many parts. Over generations, if we continue to outsource thinking, we may lose the very capacity to think, or it will get sharply diluted. We should remember what fire did to our digestive system and digital reading is doing to our capacity to learn from written material.

Warnings are being sounded by the biggest experts of AI. If we dont pay heed, we may soon be at the edge of another abyss, like we were with nuclear technology. In education, that is a distinct possibility, and perhaps also with jobs and the very notion of truth.

Anurag Behar is CEO of Azim Premji Foundation.

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Telecommunications Industry Artificial Intelligence Applications and … – GlobeNewswire

Dublin, June 21, 2023 (GLOBE NEWSWIRE) -- The "Artificial Intelligence Applications and Challenges - Exploring the Impact of Artificial Intelligence on the Telecommunications Industry: Applications and Challenges" report has been added to ResearchAndMarkets.com's offering.

Artificial Intelligence (AI) is one of the most disruptive technologies of this decade and has the potential to transform every aspect of our society, including vertical industries.

Telecom operators are transforming themselves into AI companies, starting with the automation of their network operations. On the other hand, the emergence of numerous generative AI tools has led to a significant increase in adoption, impacting various aspects of the telecom sector.

This report focuses on several key questions:

Companies Mentioned

Key Topics Covered:

1. Executive summary

2. Overview of AI technologies2.1. Definition of artificial intelligence, machine learning and deep learning2.2. Key AI-based technologies and applications2.3. Artificial intelligence value chain

3. Key AI-based applications in the telecommunications industry3.1. Main categories of AI applications in telecoms3.2. The role of AI in network cycle management3.3. The role of AI in fibre networks3.4. The role of AI in the mobile network3.5. The role of AI in network automation3.6. The role of AI in fraud prevention3.7. The role of AI in saving energy3.8. The role of AI in the customer experience3.9. The role of AI in sales and personalised marketing3.10. AI in enterprise solution - Vertical industries3.11. The adoption of generative AI tools in the telecommunications sector

4. The challenges of AI adoption4.1. Challenges for AI adoption in the telecoms sector4.2. Regulatory compliance4.3. Ethical considerations

For more information about this report visit https://www.researchandmarkets.com/r/vvzmj8

About ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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Mark Zuckerberg Has Gotten $57 Billion Richer This Year. Is … – The Motley Fool

Anyone who wrote off Meta Platforms (META -0.95%) could be kicking themselves. The stock is on a roll, skyrocketing more than 130% so far in 2023.

This impressive run has made Meta CEO Mark Zuckerberg nearly $57 billion richer this year, according to the Bloomberg Billionaires Index. Is artificial intelligence (AI) to thank?

There's a really good case to be made that AI indeed played a key role in adding so much to Zuckerberg's wealth. Meta stock took off in late 2022, soon after OpenAI launched its wildly popular generative AI app ChatGPT.

Meta wasn't the only beneficiary. Several other AI stocks began huge runs around the same time. C3.ai and Nvidia have been the biggest winners, soaring nearly 280% and 195% year to date, respectively.

You could argue that Zuckerberg simply got lucky. Meta certainly didn't report any great news that lit a fire beneath its stock. The company's only press release prior to the start of its share price rebound was its 2022 third-quarter earnings announced on Oct. 26, 2022.

Meta's revenue fell 4% year over year in Q3. Its profits plunged 52%. Zuckerberg acknowledged in the quarterly conference call that the company was navigating "some challenging dynamics -- a volatile macroeconomy, increasing competition, ads signal loss, and growing costs from our long-term investments."

None of those dynamics changed dramatically over the next couple of months. What did change was that investors began to be excited about the potential of AI as a result of the ChatGPT launch. Meta, which has invested heavily in AI, was one of several boats that were lifted by the rising tide.

However, it would be a mistake to attribute all of the money Zuckerberg has made from his big stake in Meta this year to AI. One chart shows why.

META data by YCharts

Meta has handily outperformed Alphabet (GOOG -2.09%) (GOOGL -2.07%), Amazon (AMZN -0.76%), and Microsoft (MSFT -1.33%) so far in 2023. But those three stocks arguably should benefit from the AI boom more than Meta will.

Microsoft, in theory, should have been the biggest beneficiary from the ChatGPT fervor. After all, it owns a significant stake in OpenAI and has integrated ChatGPT into its products. Alphabet, Amazon, and Microsoft have launched new AI tools. They all operate cloud platforms that should enjoy greater demand as organizations scramble to adopt AI.

So why has Meta stock vaulted so much higher than these other AI stocks? Note that Meta really separated from the pack in early February. That's when the company announced its 2022 fourth-quarter results.

Meta's revenue and earnings declined year over year again in Q4. However, the company gave investors some reasons to be optimistic about the future. Its daily active users rose. Its cash position improved as well.

In April, Meta followed up with even more good news in its 2023 Q1 update, which spurred another big jump in its share price. Revenue increased from the prior-year period. Earnings easily beat Wall Street estimates. Meta also raised its full-year revenue guidance.

Some might think that we're in an AI bubble that's about to burst. If so, Zuckerberg's $57 billion in gains could evaporate quickly. However, I don't think he has much to worry about.

Despite its major rebound, Meta remains more than 25% below its high set in the second half of 2021. More importantly, the stock's valuation still looks relatively attractive. Shares trade at 23 times expected earnings with a price-to-earnings-to-growth (PEG) ratio of 0.97.

Meta's cost-cutting initiatives still haven't made their full impact yet, either. I look for profits to improve over the coming quarters.

Finally, my hunch is that investors' interest in AI isn't about to die down. I like Meta's open-source AI strategy, something it should be able to pull off more effectively than the other tech giants. My prediction is that Zuckerberg will make many more billions of dollars in the years to come -- with a lot of it due to AI.

Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool's board of directors. John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Keith Speights has positions in Alphabet, Amazon.com, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon.com, Meta Platforms, Microsoft, and Nvidia. The Motley Fool recommends C3.ai. The Motley Fool has a disclosure policy.

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An AI in the Life: The Beatles and Artificial Intelligence – Mcalester News Capital

Paul McCartney told the BBCs Radio 4 Today program there will be one final record by The Beatles, with a debate already staring about the method used Artificial Intelligence.

McCartney doesnt identify the song by name, but said it originated from a cassette John Lennon had recorded as a demo tape.

When we came to make what will be the last Beatles song, it was a demo that John had that wed worked on, McCartney told the BBC.

McCartney said he learned how AI could be used from director Peter Jackson, director of the acclaimed Beatles 2021 documentary, Get Back.

They then decided to use the technique on the Lennon demo.

He was able to extricate Johns voice from a ropey little bit of cassette, McCartney told the BBC. It had Johns voice and a piano.

McCartney related how Jackson could separate Lennons voice from the instrument through the use of AI.

They could tell the machine Thats a voice. This is a guitar. Lose the guitar, and he did that, so it has great uses, McCartney said.

We were able to take Johns voice and get it pure through this AI so that then we could mix the record as you would normally do, so it gives you some sort of leeway, McCartney said in his BBC interview.

So theres a good side to it and theres a scary side and well just have to wait and see where it leads, McCartney told the BBC.

McCartney agreed to the BBC interview to promote his new book, 1964: Eyes of the Storm which contains photographs by a young McCartney during the year when Beatlemania swept the U.S., like it had already done in Britain.

It reveals McCartney to be a gifted amateur photographer in addition to his musical and songwriting talents.

Although McCartney did not name the song given the AI treatment and set to be released later this year, Beatles sleuths are centering on a Lennon song titled Now and Then as a likely candidate.

A number of reasons seem to indicate they could be right.

Now and Then had been included among of small number of demo tapes recorded o a cassette that Lennon left behind following his murder in December, 1980.

Lennon wrote For Paul on the cassette, which included several songs.

Two of the others, Free as a Bird and Real Love, were completed by McCartney, along with George Harrison and Ringo Starr, so all four Beatles were featured on the two recordings: Lennon through his original demo recordings, with McCartney, Harrison and Starr adding their contributions through overdubbing.

Both were released as new Beatles songs when they were respectively released on The Beatles Anthology 1 and Anthology 2.

Anthology 1, released in 1995 included Free as a Bird, while Anthology 2 released in 1996 had Real Love.

When Anthology 3 saw release, also in 1996, some Beatles aficionados expected to see another Lennon demo the one titled Now and Then included but it was not on the track list.

In later interviews, McCartney revealed they had indeed worked on the song, but Harrison didnt like it, calling it rubbish so all three ceased working on it.

If Now and Then is the song McCartney is referring to as the final record by The Beatles, it creates a question of how Harrisons part would be included.

The tantalizing confirmation by McCartney that he, Harrison and Starr worked on the track before dropping it due to Harrisons lack of enthusiasm is intriguing.

Does that mean Harrison had already played a guitar solo and maybe even added a vocal harmony that has now been enhanced by AI?

If he didnt, does that mean AI has been used to emulate a Harrison guitar solo and maybe even to emulate Harrisons voice for a high harmony?

I hope thats not the case. Enhancing what Harrison has already done is one thing which is what it seems like the AI enhancement was used for to extricate Lennons vocal from a demo recording.

However, using AI to create something simply to emulate what Harrison may have done is another matter. To quote Winston Churchill, its something up with which I will not put. (Churchill didnt like ending sentences with prepositions).

Of course, Sir Paul and Peter Jackson wont be swayed by that, but, as I said, debate is already beginning among music fans as to whether AI should be used to enhance recordings by The Beatles.

But has that already been done? In his BBC interview McCartney makes it sound as if AI has already been utilized by Jackson to enhance the sound on the hours-long Get Back documentary.

Now, I wonder if AI was used to access that secret recording of what Lennon and McCartney thought was a private conversation after Harrison angrily quit the group for a time during the Get Back sessions.

In that conversation, Lennon told McCartney they didnt give Harrison any bandages for his wounded feelings.

The Beatles often used technology to enhance their recordings. Even in their early days, they and producer George Martin would often double-track the lead vocals, which is one of the reasons they seemed to jump right out of the speakers.

In later days, they used everything from tapes loops to guitar recordings played backwards on tracks from Revolver.

Martin has said he cut up tapes of different sound effects, tossed them in the air, then gathered and spliced them together to create that cacophony of sound on Being For The Benefit of Mr Kite!

Think of how Lennon and Martin used studio effects to electronically alter Lennons voice on Lucy in The Sky With Diamonds.

Even earlier, on the Rubber Soul album, producer Martin used studio effects to speed up the arrangement for his classical harpsichord solo on what many consider one of Lennons greatest songs, "In My Life."

As for the results of the previous two Lennon demos enhanced by his fellow Beatles and producer Jef Lynne, of ELO and Traveling Wilburys fame, they were fine and did nothing to reduce The Beatles legacy, even if they didnt quite rise to the level of Strawberry Fields Forever or I Am the Walrus.

I became curious about Lennons demo of Now and Then and a search revealed numerous recordings of the song mostly enhanced by fans adding their own musical flourishes. Some are pretty good, with one group even claiming to be The Beatles playing the song on Anthology 3. I guess they forgot Now and Then is not included as an Anthology 3 track.

Now and Then does have an intriguing chord structure and a haunted Lennon vocal.

In 2016, a new video surfaced of Free as a Bird filled with references to other Beatles songs. Ive had lots of fun trying to spot them all from time-to-time.

Adding to the fun is that The Beatles from their various incarnations pop up throughout the video, such as the lovable mop-tops of their early era to the uniforms and mustaches from their Sgt. Peppers Lonely Hearts Club Band days.

Of course, I could look up all the references to songs by The Beatles in the Free as a Bird video, but wheres the fun in that? OK, the tombstone engraved with the name Eleanor Rigby may be a bit obvious, but other references take a bit more detecting.

I prefer that sense of accomplishment when I spot a nurse selling poppies from a tray.

One more thing. Paul McCartneys late wife, Linda, once related the last words Lennon said to McCartney during their final conversation together:

Think about me every now and then, old friend.

When that final recording by the Beatles is issued, Ill be listening.

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Top 10 uses of artificial intelligence in mining – Mining Digital

4: Robotics

Automation is continually increasing with the introduction of more electric mining tools that can sometimes reach where miners cannot. AI powered robotic platform maker Offworld announced in January 2023 that it is taking orders to deploy its AI industrial swarm robotic mining systems commencing in 2024.

The line of autonomous robots is built for surveying environments, both on the surface and underground, performing excavations, collecting, hauling and processing materials. Its battery units extend the operational run time of each robot by performing autonomous in-situ battery swapping and charging.

AI-based sorting systems can identify valuable minerals from waste rock in real-time and ultimately improve recovery rates and reduce processing costs as a result.

Leading global mining company Vale launched its first AI centre in 2020 in Esprito Santo. With a commitment to sustainability and safety, the company uses the technology to analyse ore samples and make decisions on the best sorting methods to maximise mineral recovery, which has led to the improvement of environmental, health and safety on site.

There are lots of benefits to AI being used to support decision making, including better worker safety, improvement of previously lengthy processes and cost reduction. In particular, mining company Anglo American has been consistently exploring AI applications in its mining operations in its efforts to be more sustainable and produce less waste.

The company has developed AI solutions for mineral exploration and resources estimation and helps workers identify potential mining sites more efficiently. AI tools allow the company to make the best decision possible whilst ensuring all of the above key factors.

Autonomous vehicles can make working conditions safer in mining as they do not have to attempt to reach potentially dangerous areas of a site. Komatsu in particular ranks high in the mining industry in regard to automated vehicles as its approach to smart mining aims to maximise operations but with the utmost safety.

The company uses electric drive mining trucks for both construction and mining operations, boasting a broad range of 30 to 400 tonne capacity trucks to help its customers meet their productivity targets, ultimately pushing innovation in suspension, transmission, and autonomous operation.

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2 Top Artificial Intelligence Stocks to Buy Right Now – The Motley Fool

By the end of the decade, artificial intelligence (AI) will likely be so widespread that it will be hard to imagine a time without it. Experts in the field expect AI to play a central role in a diverse array of industries such as pharmaceutical research, transportation, security, and waste management, among many others. As such, AI might represent a once-in-a-lifetime type of opportunity for investors.

Which AI stocks are top buys right now? The digital content creation specialist Adobe (ADBE -1.73%) and the high-speed networking juggernaut Arista Networks (ANET -1.93%) are both poised to directly benefit from the surge in demand for all things AI. Read on to find out more about these top AI growth stocks.

Image Source: Getty Images.

Adobe effectively created the digital content creation software market. And though numerous competitors have popped up over the years, it still dominates this high-growth market by a wide margin.

The company's remarkable ability to stave off competitors stems from its laser-like focus on innovation. For instance, Adobe was one of the first companies in the space to integrate artificial intelligence (AI) into its content creation ecosystem.

To wit, the software giant recently launched Firefly, a family of creative generative AI models designed to make popular programs like Photoshop and Illustrator more user-friendly. With Firefly, users can create, or refine, AI-generated content with simple text prompts.

Why is Firefly a big deal? While the basic functions of Adobe's digital content creation programs are fairly intuitive for first-time users, the more powerful features built into Photoshop, Illustrator, and Premiere Pro have fairly steep learning curves for those who lack a formal background in graphic design. Firefly makes these advanced features easily accessible to all users.

Bottom line, Adobe ought to experience healthy levels of growth in the years ahead thanks to generative AI tech like Firefly. Firefly, and future iterations thereof, should help the company both retain current users and compete effectively across the spectrum of emerging markets within the ever-expanding realm of digital content creation.

Arista is the market share and technology leader in high-speed networking. The company services both cloud and enterprise networking customers. Its ability to penetrate these high-value markets, and subsequently retain customers, can be attributed to its novel Extensible Operating System, or EOS.

EOS simplifies network management by utilizing a single operating system across hardware components -- switches, routers, etc. Additionally, Arista also sports industry-leading profit margins due to its focus on proprietary software solutions and the use of merchant silicon in its hardware.

Arista's shares presently trade at 27 times forward earnings. Any way you slice it, that's not exactly a bargain valuation. However, the march to integrate AI into daily life should be a boon for Arista's top and bottom lines in the years to come.

The key reason is that most AI-based computation systems fundamentally require high-speed networks, with little downtime, to function properly. Providing customers with the components to build reliable, high-speed networks is Arista's bread and butter. Hence, the company should be well-positioned to benefit from the gradual integration of AI into nearly every aspect of computing.

That being said, Arista's commercial opportunity stemming from computationally intensive AI workloads is hard to quantify at this early juncture. As such, prospective investors should probably view the gradual spread of AI as a long-term tailwind for the company, not a fundamental pillar of value creation.

George Budwell has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Adobe and Arista Networks. The Motley Fool recommends the following options: long January 2024 $420 calls on Adobe and short January 2024 $430 calls on Adobe. The Motley Fool has a disclosure policy.

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Some thoughts on artificial intelligence… – TKer by Sam Ro

Mentions of artificial intelligence have surged on earnings calls. (Source: @M_McDonough)

Theres been an explosive amount of interest in artificial intelligence (AI).

In the stock market, much of the attention has been on companies developing and providing AI tech like Nvidia, Microsoft, and Alphabet. These AI-exposed tech giants have been among the stocks leading gains in the bull market.

The considerable price appreciation in these names has even prompted some to warn AI stocks are in a bubble. Unfortunately, well only know in hindsight if this is the case.

Theres a popular saying associated with emerging technology: Most people overestimate what they can achieve in a year and underestimate what they can achieve in 10 years.

In other words, maybe AI hype has gotten ahead of itself a bit. But that doesnt necessarily mean it wont create tons of wealth as it unlocks massive amounts of productivity over the long run.

AI technology comes in many forms and their potential applications are vast.

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Decoding the Dangers of the Artificial Intelligence Feedback Cycle … – Digital Information World

The era of productive Artificial Intelligence has dawned upon us, as within a mere 24 weeks of OpenAI's groundbreaking release of ChatGPT, a staggering 50% of workers in directing multinational enterprises have seamlessly integrated this transformative technology into their operations. Witnessing this exponential adoption, numerous companies are now fervently racing to offer innovative products fortified with the power of artificial intelligence.

However, for those who delve into the realm of this thriving enterprise and its substantial analysis, it becomes evident that the foundational data utilized to instruct the impressive large language models (LLMs) and transformative transformer prototypes, like ChatGPT and Midjourney, originates from mortal origins. These sources, comprising books, blogs, pictures, and more, were crafted solely by human ingenuity, devoid of AI assistance.

As the utilization of artificial intelligence to create and disseminate content surges, a pressing inquiry appears: What transpires when artificial content permeates the online realm, becoming the primary training data for AI prototypes, instead of predominantly relying on human-crafted content? Addressing this critical concern, a team of investigators hailing from the United Kingdom and Canada delved into the matter, unveiling their thought-provoking findings in a recently issued paper in arXiv, a journal that is open to everyone. Alas, their discoveries are disconcerting for the present state of artificial intelligence and its forthcoming trajectory, as they reveal that incorporating artificial content during training leads to irrevocable flaws within the consequent prototypes.

Upon examining possibility allocations within texts and images of artificial intelligence prototypes, the investigators arrived at a disconcerting conclusion. They found that training these models using data generated by different prototypes leads to a phenomenon known as "model collapse," wherein the prototypes gradually lose knowledge of the genuine core data allocation. Even under favorable circumstances for extended learning, this degenerative process remains unavoidable, shedding light on the precarious nature of relying solely on artificial intelligence-generated data for training.

Put simply, when an artificial intelligence training prototype becomes increasingly uncovered to artificial data, its performance gradually deteriorates with time. This degradation manifests in the form of heightened errors in the developed comebacks and content, while simultaneously reducing the diversity of accurate outcomes.

In a blog post discussing the research report, a famous safety engineering instructor drew a striking analogy between the accumulation of artificial content and our environmental crises. He lamented that just as we have polluted the oceans with plastic litter and insinuated CO2 into the environment, the internet is poised to be inundated with an abundance of meaningless content. This impending deluge of "blah" not only poses challenges for training more latest artificial intelligence prototypes by web scraping but also grants an edge to companies that have already amassed extensive data or control large-scale access to human interactions. AI startups are already heavily relying on web history for instructing data, underscoring the emerging trend.

The known science fiction author and an author at MS further explored the concept of deteriorating quality in artificial content. In his current piece, he postulated that as artificial intelligence replicas of replicas proliferate, the quality would gradually degrade, akin to the visual antiques that accumulate when constantly replicating an image. This analogy highlights the concern that the replication of AI-generated data may lead to a diminishing rank of intellect and an increase in erroneous outputs, similar to the comedic film "Multiplicity" where duplicates of duplicates lead to progressively declining intellect and escalating silliness.

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Decoding the Dangers of the Artificial Intelligence Feedback Cycle ... - Digital Information World

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