#Future scope of artificial intelligence

[sauravisubbha00]

Future Scope of Artificial Intelligence: Embracing the Potential

Artificial Intelligence, commonly known as AI, is a branch of computer science that enables machines to perform tasks that typically require human intelligence. From powering virtual assistants like Siri and Alexa to driving autonomous vehicles, AI is all around us. 

[krmangalam1011]

Study B.Tech. in Artificial Intelligence and Machine Learning in 2025

Are you extremely fascinated with the latest advancements in technology? Do you wish to pursue a spectacular career which elevates your career graph in one go? If Yes, then it’s time to pursue a B.Tech. in Artificial Intelligence and Machine Learning from K.R. Mangalam University which is one of the most sought-after programmes in today’s generation. 

Designed in collaboration with top experts from IBM, this course also offers constant mentorship to the students. Moving forward, in this blog we will talk about the major aspects related to this course which include its core highlights, eligibility criteria, fees and the overall programme structure. 

B.Tech. in Artificial Intelligence and Machine Learning Course Highlights 

A highly intellectual course which is curated in collaboration with leading professionals from IBM. Upon enrolling for this course, you will learn to develop advanced computer applications arising in the field of AI & ML. Moreover, students also get hands-on experience through internships, paid international visits, conferences and seminars. Eventually, all these aspects prepare the students for an impactful career in the data-driven industries. Here’s a quick snapshot of the course.  

Course Name 

B.Tech. CSE (AI & ML) with academic support of IBM & powered by Microsoft Certifications

Course Type: 

Undergraduate 

Duration: 

4 Years 

Study Mode:

Full-Time 

Programme Fee Per Year:

Rs 2,65,000/-  (as of 25th March 2025) 

Admission Process:

Written Test + Personal Interview 

Top Recruiters: 

Amazon, Flipkart, Google, OLA, KPMG, Cure Fit 

B.Tech. in Artificial Intelligence and Machine Learning Eligibility Criteria

To enrol for this course at KRMU, you must meet the necessary eligibility requirements asserted by the university. The general criteria are as follows: 

A candidate must have cleared the 10+2 examination with Physics and Mathematics as compulsory subjects.

For the remaining course, choose from Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from a recognised board/university with a minimum 50% aggregate overall. 

B.Tech. in Machine Learning and Artificial Intelligence Subjects

At KRMU, we majorly focus on teaching the students about the basics of computational mathematics, and fundamental aspects of computer science along with modern developments taking place in AI and machine learning. In clear terms, the B.Tech. in AI and ML course is a highly informative programme which consists of 8 different semesters and is taught by expert professionals. Here’s a general overview of the artificial intelligence course syllabus for your reference. 

Linear Algebra and Ordinary Differential Equations

Object Oriented Programming using C++

Engineering Calculus

Clean Coding with Python

Engineering Drawing & Workshop Lab

Data Visualization using PowerBI

Discrete Mathematics

Data Structures

Java Programming

Probabilistic Modelling and Reasoning with Python Lab

Theory of Computation

Operating Systems

Natural Language Processing

Arithmetic and Reasoning Skills

Computer Organization & Architecture

Neural Networks and Deep Learning

Career Scope After B.Tech. in Artificial Intelligence & Machine Learning

The foremost benefit of pursuing a B.Tech. in Artificial Intelligence and Machine Learning course is that you have a plethora of career options available in different industries ranging from e-commerce, food, travel, automation etc. Top career options are: 

Machine Learning Engineer/Developer

AI Research Scientist

Data Scientist

Machine Learning Operations (MLOps) Engineer

AI/ML Software Developer

AI Product Manager

AI Ethics Consultant

Data Engineer

AI/ML Consultant

Research Analyst

Conclusion

B.Tech. in Artificial Intelligence and Machine Learning is a perfect programme for you if you’re keen on experimenting and developing unique computer applications. Pursue this course from K.R. Mangalam University and get access to highly sophisticated laboratories with the latest technologies. So what are you waiting for? Choose to enrol today and drive high towards the in-demand career opportunities. 

Frequently Asked Questions 

What is the average salary after B.Tech. in Artificial Intelligence and Machine Learning programme?

After completing this popular programme, students are expected to secure a whopping package ranging in between 6-10 LPA. 

What is the future scope of B.Tech. in AI & ML?

This programme holds an impactful future. Students are loaded with diversified career opportunities in multiple sectors. 

What can I pursue after B.Tech. in Artificial Intelligence?

You can pursue an M.Tech in AI & ML or an MBA after completing your graduation. 

[kids-worldfun]

Scope for Growth after B Tech in Artificial Intelligence and Machine Learning

In recent years, artificial intelligence and machine learning had an impact on nearly every industry. As Andrew Ng (Computer Scientist and Global Leader in AI) observed, “It is difficult to think of a major industry that AI has not affected and will not transform. The industries experiencing a major impact of AI technologies include education, healthcare, retail, e-commerce services, agriculture,…

[liveblack]

[harmonysanreads]

I find it genuinely dystopian how you need to add the word human before ‘artist’ nowadays. The scope of art is massive and you can technically argue that anything of nature is capable of producing art, but it has always been humans who've interpreted art the best. Something that is so close to the human soul, to the point that it can be called inherent — being tangled with something like artificial intelligence, sickens me.

I know there are debates about AI transcending to a more advanced stage, but that is a hypothesis of the distant future, an experiment that humans are conducting, more accurately. Perhaps it has raised more questions, made us reevaluate many things, made us appreciate authentic art more. However, it doesn't change the fact that it's still a robbery of human expression. The damage that's been done to people's trust in relation to art can never be undone.

It doesn't matter in the grand scheme of things ; but I'll never forgive whoever it was that saw art as a chore and something that needed to be made ‘quick and easy’ to consume. AI will replace and end us? No one wants the destruction of humans more than humans do.

[frank-olivier]

The Future Unscripted: Professor Nolan’s Musings on AI, NHI, and Humanity

Professor Garry Nolan’s conversation offers a profound exploration of the intersections between unconventional phenomena, artificial intelligence (AI), and humanity’s future. His personal anecdotes of unexplained childhood experiences serve as the catalyst for his professional inclination towards the unorthodox, underscoring the importance of considering unconventional data in scientific inquiry. By embracing anomalies, Nolan exemplifies the transformative potential of curiosity-driven research in the pursuit of novel knowledge.

Nolan’s scientific approach is notably inclusive, as evidenced by his exploration of Non-Human Intelligence (NHI), a term that broadens the scope of inquiry beyond traditional notions of extraterrestrial life. The analysis of enigmatic materials, such as Bismuth Magnesium, and the theorized capabilities of NHI, including mastery over anti-gravity and energy, prompt intriguing questions about coexistence. His analogy between human-ant interactions and potential human-NHI relations offers a thought-provoking perspective on mutual existence, shifting the focus from competition to symbiosis.

The future, as envisioned by Nolan, is intimately tied to AI’s development and application. He posits AI as a dual-edged solution: a tool for expediting scientific breakthroughs and resolving global crises, as well as a potential precursor to artificial superintelligence (ASI) that could embody a form of consciousness. This speculative horizon highlights the imperative of careful AI management to ensure equitable global access to education and growth. Nolan’s emphasis on AI-driven objective decision-making processes also presents a compelling case for reforming the current political landscape, which is often mired in tribal histories and scarcity mindsets.

A notable aspect of Nolan’s discourse is his critique of contemporary leadership and power structures, juxtaposed with the conflict resolution methods of bonobo chimps as a paradigm for more harmonious human interactions. This dichotomy underscores the urgent need for innovative, peace-centric approaches to global relations. Ultimately, Nolan’s optimism about humanity’s future, rooted in our capacity for crisis-driven ingenuity and the judicious leveraging of AI, presents a compelling vision of a world where challenges are met with collective brilliance and equality in education and growth becomes a universal reality.

Gary Nolan: Alien & UFO - The Critical Question Nobody's Asking (Gita Wirjawan, Endgame Podcast, December 2024)

Friday, December 6, 2024

[pandeypankaj]

What's the difference between Machine Learning and AI?

Machine Learning and Artificial Intelligence (AI) are often used interchangeably, but they represent distinct concepts within the broader field of data science. Machine Learning refers to algorithms that enable systems to learn from data and make predictions or decisions based on that learning. It's a subset of AI, focusing on statistical techniques and models that allow computers to perform specific tasks without explicit programming.

On the other hand, AI encompasses a broader scope, aiming to simulate human intelligence in machines. It includes Machine Learning as well as other disciplines like natural language processing, computer vision, and robotics, all working towards creating intelligent systems capable of reasoning, problem-solving, and understanding context.

Understanding this distinction is crucial for anyone interested in leveraging data-driven technologies effectively. Whether you're exploring career opportunities, enhancing business strategies, or simply curious about the future of technology, diving deeper into these concepts can provide invaluable insights.

In conclusion, while Machine Learning focuses on algorithms that learn from data to make decisions, Artificial Intelligence encompasses a broader range of technologies aiming to replicate human intelligence. Understanding these distinctions is key to navigating the evolving landscape of data science and technology. For those eager to deepen their knowledge and stay ahead in this dynamic field, exploring further resources and insights on can provide valuable perspectives and opportunities for growth 

[theaenetworks]

When coronavirus pandemic struck, it caught everyone off the track, nobody imagined this virus, nobody thought it will definitely forced people inside, schools, place of worship, companies and literally everything and everyone were in lockdown. Many countries are still facing post Covid-19 challenges politically and economically, and yet to put a foot on that, and what the world cannot contain now, is another pandemic. Artificial Intelligence has evolved over time, its place in humans activities have grown and now at the services of human kind, the terrible number of lives lost during coronavirus still put many families around the globe in shock, not to talk about the prospect of another pandemic, AI has innovative role to play in curbing the next pandemic.

United States have taken the lead in apprehending the prospect of next pandemic outbreak using AI tool EVEScape to detect and shield the world against another havoc. University of California researchers are developing Artificial Intelligence that will help in detecting future pandemics through examining social media posts. These researchers are solely tasked with predicting and mitigating the danger of next pandemics. This can be done through monitoring public health trends and reactions, reviewing some policies to help curb possible pandemics in the future. One of the researchers, Nikki Thadani said “One of the unique strengths of our approach is that it can be used early in a pandemic. It could be good for… vaccine manufacturers, and also for people trying to identify therapeutics, particularly antibodies to get some insight early on into which mutations might arise even a year in the future.”

The role of this AI tool EVEScape lies in shielding the world against possible outbreak, the strength of AI solely depends on information imputed on it. This is where issue of credibility and effectiveness of information will be a concern, in determining the approach that will be used in curbing future pandemics. This tool will put World Health Organization (WHO) in alerting the world about this prospect and measures to use. While AI tool spot these pandemics, the decisions are still with humans. While the algorithm may seem to pose a problem, to collect data of world’s population and its health trends, still part of the challenges, but a lot of improvement will be made in sharing credible information devoid of any manipulation.

Africa still in the Dark:

African Union’s health agency has appealed to Western countries to come to Africa’s aid in dealing with mpox outbreak. African Centres for Disease Control Prevention and World Health Organization have responded with plan in place to curb mpox amid fresh 107 deaths and 3,160 new cases. Mpox was declared in August an international emergency by the WHO, concerned by the surge in Democratic Republic of Congo (DRC), the epicentre of the outbreak, now present in 14 nations across the continent and still struggle to meet up with funds to fight the outbreak. The reliance on Western countries, create troubling moment for Africa, if Africa cannot embark on their own research, curb massive looting of public treasury, and give the younger generation something they can hope on, deadlock subsists and Africa still in the dark.

While some African countries have contributed to estimate of six month budget to fight the outbreak, 200,000 vaccines have been distributed by the European Union to Democratic Republic of Congo and have also received 50,000 from United States. Mpox is effective through human to human contacts, can also be transmitted by infested animals to human beings, formerly tagged monkey pox. Africa needs to think ahead in order to apprehend crisis and have reformed approach that will help in solving problems, running to China, Russia or the West is always a recipe for disaster, it blinds the vision to think outside the scope in providing solutions rocking the continent.

Africa cannot boost of their own vaccine to contain the outbreak, yet raise concern over effectiveness of the vaccines sent. United Nations International Children’s Emergency Fund (UNICEF) has warned of danger of open defecation which leaves 200 million Nigeria citizens vulnerable to Neglected Tropical Disease (NTD). The West have gone to apprehend the prospect of next pandemics yet Africa still battle with barest of these problems due to lack of leadership and commitment to improving livelihood and people’s health. With the whole trends and quest to improve conditions of living, it is self-evident that Africa is still living in past, which create bigger problems for younger generation as already existing problems are overwhelming them and have created stunted growth across all sectors of human endeavours in the continent.

https://anthonyemmanuel.com/the-role-of-ai-in-shielding-the-world-against-next-pandemic/

#AI #artificialintelligence #technology #TechSolutions #TechInnovation #tech #DeepSeek #chatgpt

[mariacallous]

The launch of ChatGPT-3.5 at the end of 2022 captured the world’s attention and illustrated the uncanny ability of generative artificial intelligence (AI) to produce a range of seemingly human-generated content, including text, video, audio, images, and code. The release, and the many eye-catching breakthroughs that quickly followed, have raised questions about what these fast-moving generative AI technologies might mean for work, workers, and livelihoods—now and in the future, as new models are released that are potentially much more powerful. Many U.S. workers are worried: According to a Pew Research Center poll, most Americans believe that generative AI will have a major impact on jobs—mainly negative—in the next two decades. 

Despite these widely shared concerns, however, there is little consensus on the nature and scale of generative AI’s potential impacts and how—or even whether—to respond. Fundamental questions remain unanswered: How do we ensure workers can proactively shape generative AI’s design and deployment? What will it take to make sure workers benefit meaningfully from its gains? And what guardrails are needed for workers to avoid harms as much as possible? 

These animating questions are the heart of this report and a new multiyear effort we have launched at Brookings with a wide range of external collaborators. Through research, worker-centered storytelling, and cross-sector convenings, we aim to enhance public understanding, inform policymakers and employers, and shape our societal response toward a future where workers benefit meaningfully from AI’s gains and, as much as possible, avoid its harms. 

In this report, we frame generative AI’s stakes for work and workers and outline our concerns about the ways we are, collectively, underprepared to meet this moment. Next, we provide insights on the technology and its potential impact on jobs, drawing on our analysis of detailed data from OpenAI (described here) that explores task-level exposure for over a thousand occupations in the labor market. Finally, we discuss three priority areas for a proactive response—employer practices, worker voice and influence, and public policy levers—and highlight immediate opportunities as well as gaps that need to be addressed. Throughout the report, we draw on insights from a recent Brookings workshop we convened with more than 30 experts from different disciplines—policy, business innovation and investment, labor, academic and think tank research, civil society, and philanthropy—to grapple with those fundamental questions about AI, work, and workers. 

The scope of this report is more limited than the full suite of concerns about AI’s impact on workers. Conscious that our effort builds on an already robust body of academic work, dedicated expertise, and policy momentum on key aspects of job quality and harms from AI (including privacy, surveillance, algorithmic management, ethics, and bias), our primary focus is addressing some of generative AI’s emerging risks for which society’s response is far less developed, especially risks to livelihoods. 

[sauravisubbha00]

Future Scope of Artificial Intelligence: Embracing the Potential

 Imagine a future where machines can think, learn, and make decisions just like humans. That's AI, a technology that's poised to reshape the way we live, work, and interact with the world around us. 

[t0mies-b0dy]

.... so nanowrimo sent out an apology email.

[Copy-Paste under the cut, its a long one, boys]

To Our NaNoWriMo Community: 

There is no way to begin this letter other than to apologize for the harm and confusion we caused last month with our comments about Artificial Intelligence (AI). We failed to contextualize our reasons for making this statement, we chose poor wording to explain some of our thinking, and we failed to acknowledge the harm done to some writers by bad actors in the generative AI space. Our goal at the time was not to broadcast a comprehensive statement that reflected our full sentiments about AI, and we didn’t anticipate that our post would be treated as such. Earlier posts about AI in our FAQs from more than a year ago spoke similarly to our neutrality and garnered little attention. 

We don’t want to use this space to repeat the content of the full apology we posted in the wake of our original statements. But we do want to raise why this position is critical to the spirit—and to the future—of NaNoWriMo. 

Supporting and uplifting writers is at the heart of what we do. Our stated mission is “to provide the structure, community, and encouragement to help people use their voices, achieve creative goals, and build new worlds—on and off the page”. Our comments last month were prompted by intense harassment and bullying we were seeing on our social media channels, which specifically involved AI. When our spaces become overwhelmed with issues that don’t relate to our core offering, and that are venomous in tone, our ability to cheer on writers is seriously derailed. 

One priority this year has been a return to our mission, and deep thinking about what is in-scope for an organization of our size. A year ago, we were attempting to do too much, and we were doing some of it poorly. Though we admire the many writers’ advocacy groups that function as guilds and that take on industry issues, that isn’t part of our mission. Reshaping our core programs in ways that are safe for all community members, that are operationally sound, that are legally compliant, and that are mission-aligned, is our focus. 

So, what have we done this year to draw boundaries around our scope, promote community safety, and return to our core purpose? 

We ended our practice of hosting unrestricted, all-ages spaces on NaNoWriMo.org and made major website changes. Such safety measures to protect young Wrimos were long overdue.

We stopped the practice of allowing anyone to self-identify as an educator on our YWP website and contracted an outside vendor to certify educators. We placed controls on social features for young writers and we’re on the brink of relaunch. 

We redesigned our volunteer program and brought it into legal compliance. Previously, none of our ~800 global volunteers had undergone identity verification, background checks, or training that meets nonprofit standards and that complies with California law. We are gradually reinstating volunteers.

We admitted there are spaces that we can’t moderate. We ended our policy of endorsing Discord servers and local Facebook groups that our staff had no purview over. We paused the NaNoWriMo forums pending serious overhaul. We redesigned our training to better-prepare returning moderators to support our community standards. 

We revised our Codes of Conduct to clarify our guidelines and to improve our culture. This was in direct response to a November 2023 board investigation of moderation complaints.

We proactively made staffing changes. We took seriously last year’s allegations of child endangerment and other complaints and inspected the conditions that allowed such breaches to occur. No employee who played a role in the staff misconduct the Board investigated remains with the organization. 

Beyond this, we’re planning more broadly for NaNoWriMo’s future. Since 2022, the Board has been in conversation about our 25th Anniversary (which we kick off this year) and what that should mean. The joy, magic, and community that NaNoWriMo has created over the years is nothing short of miraculous. And yet, we are not delivering the website experience and tools that most writers need and expect; we’ve had much work to do around safety and compliance; and the organization has operated at a budget deficit for four of the past six years. 

What we want you to know is that we’re fighting hard for the organization, and that providing a safer environment, with a better user interface, that delivers on our mission and lives up to our values is our goal. We also want you to know that we are a small, imperfect team that is doing our best to communicate well and proactively. Since last November, we’ve issued twelve official communications and created 40+ FAQs. A visit to that page will underscore that we don’t harvest your data, that no member of our Board of Directors said we did, and that there are plenty of ways to participate, even if your region is still without an ML.

With all that said, we’re one month away! Thousands of Wrimos have already officially registered and you can, too! Our team is heads-down, updating resources for this year’s challenge and getting a lot of exciting programming staged and ready. If you’re writing this season, we’re here for you and are dedicated, as ever, to helping you meet your creative goals!

In community,

The NaNoWriMo Team

[yestolerancepro]

Tolerance Project extra I’ll be back and he certainly was The Tolerance Project and The Terminator Franchise

Part One Terminator the first 3 films in the Series Terminator Terminator 2Judgement Day and Terminator 3 Rise Against The Machines

Introduction

Hello there and Welcome to a revised edition of a blog that looks at the Terminator film Franchise including the making of the original Terminator film from 1984 and the 2 sequels that followed it Terminator 2 Judgement Day and Terminator 3 Rise of the Machines for ease of reading the blog has been split in two chapters the second chapter deals with the other 3 films in the series Terminator Salvation Terminator Genysis and Terminator Dark fate as well as what links the film to the Toleramce Project

Today the 26th October marks the Terminator 40th Birthday of its original release at the cinema

Overview

The Terminator is a 1984 American science fiction action film directed by James It stars Arnold Schwarzenegger as the Terminator, a cyborg assassin sent back in time from 2029 to 1984 to kill Sarah Connor (Linda Hamilton), whose unborn son will one day save mankind from extinction by Skynet, a hostile artificial intelligence in a post-apocalyptic future. Kyle Reese (Michael Biehn) is a soldier sent back in time to protect Sarah. The screenplay is credited to Cameron and producer Gale Anne Hurd.

Defying low pre-release expectations, The Terminator topped the United States box office for two weeks, eventually grossing $78.3 million against a modest $6.4 million budget. It is credited with launching Cameron's film career and solidifying Schwarzenegger's status as a leading man. The film's success led to a franchise consisting of several sequels, a television series, comic books, novels and video games. In 2008, The Terminator was selected by the Library of Congress for preservation in the United States National Film Registry.  

Casting The Terminator

It's hard to believe, but it's been roughly forty years since James Cameron changed movies forever with the release of The Terminator in 1984. At just 30 years old, this was Cameron's breakthrough, with his only other feature film being the low-budget Piranha II: The Spawning in 1981. His story about a cyborg sent from the future to kill the mother of a future resistance leader against robots who have taken over the Earth set Cameron on a path to becoming one of the most influential filmmakers ever. Before any of that could happen, however, Cameron needed to find the perfect face for his robotic monster. As we all know, the role went to Arnold Schwarzenegger, sending his career into the stratosphere, but before it did, there was talk of another famous name playing the part. Then one conversation with James Cameron changed everything, shaping history into the form we now know it.

Arnold Schwarzenegger Says O.J. Simpson Was the First Choice

In 1984, James Cameron might not have been famous yet, but Arnold Schwarzenegger was. He was the larger-than-life Austrian bodybuilder who had won seven Mr. Olympias and four Mr. Universe bodybuilding titles before transitioning to acting with roles in films such as Conan the Barbarian in 1982. Two years later, the same year a Conan the Barbarian sequel, Conan the Destroyer, was released, Arnold met with the unproven Cameron about his next project, a film with a much bigger scope than killer fish.

Cameron Says Simpson Was Never Considered To For ‘The Terminator’

In a 2023 interview with the eponymous host of Max’s talk show Who’s Talking to Chris Wallace, James Cameron set the record straight about a persistent rumor over the decades about fallen NFL star running back O.J. Simpson being considered to play the Terminator.

During the interview with Cameron, Wallace asked the writer-director to explain how the supposed consideration of Simpson for the role began.

“Very early on, a highly placed person at one of the two studios that funded that film had a brilliant idea and called me up and said, ‘Are you sitting down?’ I said, ‘Well, no, I’m not.’ He said, ‘Are you sitting? O.J. Simpson for the Terminator!’ I said, ‘I actually think that’s a bad idea.’ It didn’t go anywhere,” Cameron told Wallace (via Variety).

In a 2022 interview with Graham Bensinger, Schwarzenegger went into great detail about what those early interactions with James Cameron were like. Arnold said that when he got involved with the film, O.J. Simpson, then a beloved retired NFL running back who had transitioned to acting, was supposed to be the Terminator, with Schwarzenegger playing Kyle Reese, the good guy role who protects Sarah Connor (Linda Hamilton) and fights against the Terminator. The role would eventually go to Michael Biehn. Arnold was told that he'd be meeting Cameron for lunch, because Cameron had to sign off on him playing Reese.

Arnold Schwarzenegger Convinced James Cameron To Give Him the Terminator Role Instead

At the lunch, Schwarzenegger told Cameron his thoughts about the film and focused on the Terminator, who he wasn't cast to play. He brought up Yul Brenner's killer robotic performance from Westworld, saying "Everything was kind of off because he was not like a human being, there was something wrong here, but you couldn't identify exactly what it was." Arnold was fascinated by Brenner's mechanical movements and told Cameron that whoever played Terminator had to be trained to act like a machine. "He cannot go and look down and have the magazine be put into the gun... This has to be done like a machine, therefore he has to be trained blindfolded."

Schwarzenegger said Cameron was impressed by his opinion and completely agreed. So, right then and there, he told Arnold, "There's no one who will understand the Terminator better than you, so therefore, I think we're all in agreement that you should play the Terminator." To this, Arnold said no. He saw playing the Terminator, who barely had any lines, as a regression in his acting career. He wanted to be Reese, who had all the lines and was more of a challenge. Cameron would not be dissuaded so easily. He told Arnold, "Trust me, I will shoot the character so that you're not only the number one villain they've ever seen, but the number one hero." Cameron told Schwarzenegger to go home and think about it for a few days. He did just that, going back and forth between visualizing himself as the hero and the villain. "Eventually one day I woke up and said to myself, you know, he's right. It would be the most memorable character if it's played right

The Terminator director James Cameron says Arnold Schwarzenegger wasn’t exactly who he had in mind to play the now iconic movie character.

The sci-fi movie classic will celebrate the 40th anniversary of its domestic release on October 26. In the film, Schwarzenegger stars as the title character—aka the T-800—a cyborg from the future who travels back in time to assassinate Sarah Connor (Linda Hamilton), the mother of a future leader of a war against AI machines who have become self-aware.

In a recent interview with Empire Magazine, Cameron admitted that while Schwarzenegger isn’t the person he envisioned for the now-legendary role, he’s the reason for the longevity of the Terminator franchise.

.Further Watching

To watch a video called WTF happened to the Terminator from Jblo originals click here

To watch a retrospective review on the Terminator from the Oilver Harper youtube page click here

Ten things you didn't know about the Terminator Video Series from Minty Comedic arts

The Original Terminator film click here

Further Listening

This excellent Radio 4 Documentary where presenter explores the creation and enduring vision of the Terminator enduring A.I prophecy

Further Reading

This article by the slash film website gives a good history of the original film but also explains why Orion Pictures backed the film in the first place with only one condition to read it click here https://www.slashfilm.com/1515271/orion-pictures-agreed-finance-the-terminator-one-condition/

What is the best shot in the original Terminator film from 1984 ? click on this article to find out The Terminator (1984) – The Best Scene

Me and The Terminator Franchise

There have been 6 films in The Terminator franchise I must admit I have not seen them all so I won’t comment on those but I think the first 2 films in the series are the best ones in the franchise as a whole.

 I would have stopped the series after Terminator 3 Rise of the Machines after all it would have made a nice little trilogy. I actually saw the 2nd Terminator film Judgement day first.

 

I only saw that because I was intriged by a spoof pop single in the British charts by Arnie and the Terminators which you can listen to by clicking here  

Quite a lot of people seem to agree with me that perharps the Terminator Franchise should have stopped after Terminator 2 Judgement day in 1991 the film even had a different ending shot for it that would have stopped the franchise after 2 films as detailed here

The epic saga of the "Terminator" films nearly had a far more conclusive ending in its second installment. James Cameron initially planned for a future-set epilogue in which an older Sarah Connor watches her son John, now a senator, playing with his daughter in a peaceful, Skynet-free world.

This would have sealed the fate of our beloved characters, leaving no room for a sequel, let alone the multiple that followed. As apocalyptic as the "Terminator" franchise tends to be, it's amusing to imagine it wrapping up with a peaceful picnic scene.

Screenrant again published an article on their website called 10 Movies that should have ended the Franchise and Terminator 2 Judgement Day was on their list at number at number 7 this is what they had to say.

There are several reasons why Terminator 2: Judgment Day still holds up today. Apart from the impressive effects and performance that brought the T-1000 to life, Terminator 2 compellingly raised the stakes and further explored the plot's ethical implications. It also pulled off the impossible by turning the first movie's villain, the T-800, into a hero and father figure to John Connor. With Skynet's defeat, Sarah and John finally had a reason to be optimistic in the ending, which brings the story to a full circle. The disappointing events of Terminator 3 and the succeeding reboot sequels only strengthen Judgment Day's place among movies that should have ended the franchise. 

Reading those comments myself its very hard to disagree with them also this article from the CBR.com website explains why the Terminator film series should have perharps stopped at Terminator 2 Judgement Day https://www.cbr.com/t2-perfect-end-terminator-series/

Also the yard Barker website included it in a list of films in article called Sequels that could have worked as standalone films this is what they had to say:

James Cameron’s original Terminator is a hallmark of sci-fi and action cinema, and, if anything, its sequel is even better. In this case, the story focuses on Sarah Connor, her son John, and their unlikely ally, the T-800. The entire cast is at the top of their game, though, of course, Arnold Schwarzenegger is a highlight as the Terminator. Throughout the film, Cameron showcases his skills as a director, and it’s a film that only grows in importance and relevance as AI becomes a more pronounced and undeniable part of everyone’s daily life, for better and for worse.

James Cameron himself explained why he felt Terminator 2 Judgement day was the best of the Terminator films he directored

During a recent interview with Empire Magazine (via Screen Rant), James Cameron, the visionary director behind the iconic Terminator franchise, offered insights into the evolution of the series and his personal growth as a filmmaker.

Cameron explains, "I look at each of those films as a slice of the cultural media zeitgeist of its time. The Terminator wasn't the first action film of the '80s. It was one of a group of action films, most of which came later. Army of one, giant body count, it was part of a zeitgeist. Terminator 2, there was a shifting consciousness. It was also just a better-made film. Physically better made, better realized. I look at them as moments in a career for me as a storyteller, that have specific meaning to me as well. Could I, with where I am now as a person, after all these school shootings, write The Terminator right now and get excited about it and want to go make it? No. I'm a different person, and that's fine too. That's the way it should be. We should evolve as artists. We should evolve as a society."

Further Watching 

To watch a retrospective review from the Oilver Harper Youtube page on Terminator 2 Judgement Day click here

Ten things you didn't know about the Terminator Video Series from Minty Comedic arts

Ten things you didn't know about the Terminator Video Series from Minty Comedic arts

Terminator 3 Rise of The Machines click here 

To watch a retrospective review of Terminator 3 Rise of the machines from the Oilver Harper youtube click here

Futher Reading

This article from the CBR website also lists 10 reasons why Terminator 2 Judgement Day is the best film of the Franchise https://www.cbr.com/terminator-2-best-movie-franchise/

Notes

Thank you to Minty Comedic arts youtube channel for his 10 things you didn’t know about Terminator for the first 3 films in the Terminator series. Also Thank you Oliver Harper youtube Channel for his retrospective review series again on the first 3 Terminator films and also his review Dark Fate. and lastly thank you to Jo blo orignals for his wtf happened to the Terminator and other Terminator related videos T Thank you as well for Wikipedia for the background in the original Terminator film from 1984 and google images for all the pictures thanks to the following websites for the articles on the Terminator series Collider Screenrant CBR and Yard Barker

Pictures

Posters for the first 3 Terminator films and O. J Simpson

Next Week

This second part of this blog looking at the Terminator Franchise will be back in 3 weeks time see what I did there Ha Ha Part 2 of this will be looking at the other 3 films in the series and what links to the Tolerance project Next week we will be publishing the first part of a 2 part blog looking at the Halloween series of films

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Big Data and AI: The Perfect Partnership for Future Innovations 

Innovation allows organizations to excel at differentiation, boosting competitive advantages. Amid the growth of industry-disrupting technologies, big data analytics and artificial intelligence (AI) professionals want to support brands seeking bold design, delivery, and functionality ideas. This post discusses the importance of big data and AI, explaining why they matter to future innovations and business development. 

Understanding Big Data and AI 

Big data is a vast data volume, and you will find mixed data structures because of continuous data collection involving multimedia data objects. A data object or asset can be a document, an audio track, a video clip, a photo, or identical objects with special file formats. Since big data services focus on sorting and exploring data objects’ attributes at an unprecedented scale, integrating AI tools is essential. 

Artificial intelligence helps computers simulate human-like thinking and idea synthesis capabilities. Most AI ecosystems leverage advanced statistical methods and machine learning models. Their developers train the AI tools to develop and document high-quality insights by processing unstructured and semi-structured data objects. 

As a result, the scope of big data broadens if you add AI integrations that can determine data context. Businesses can generate new ideas instead of recombining recorded data or automatically filter data via AI-assisted quality assurances. 

Why Are Big Data and AI Perfect for Future Innovations? 

1| They Accelerate Scientific Studies  

Material sciences, green technology projects, and rare disorder research projects have provided humans with exceptional lifestyle improvements. However, as markets mature, commoditization becomes inevitable. 

At the same time, new, untested ideas can fail, attracting regulators’ dismay, disrespecting consumers’ beliefs, or hurting the environment. Additionally, bold ideas must not alienate consumers due to inherent complexity. Therefore, private sector stakeholders must employ scientific methods to identify feasible, sustainable, and consumer-friendly product ideas for brand differentiation.  

AI-powered platforms and business analytics solutions help global corporations immediately acquire, filter, and document data assets for independent research projects. For instance, a pharmaceutical firm can use them during clinical drug formulations and trials, while a car manufacturer might discover efficient production tactics using AI and big data. 

2| Brands Can Objectively Evaluate Forward-Thinking Business Ideas 

Some business ideas that a few people thought were laughable or unrealistic a few decades ago have forced many brands and professionals to abandon conventional strategies. Consider how streaming platforms’ founders affected theatrical film releases. They have reduced the importance of box office revenues while increasing independent artists’ discoverability. 

Likewise, exploring real estate investment opportunities on a tiny mobile or ordering clothes online were bizarre practices, according to many non-believers. They also predicted socializing through virtual reality (VR) avatars inside a computer-generated three-dimensional space would attract only the tech-savvy young adults. 

Today, customers and investors who underestimated those innovations prefer religiously studying how disrupting startups perform. Brands care less about losing money than missing an opportunity to be a first mover for a niche consumer base. Similarly, rejecting an idea without testing it at least a few times has become a taboo. 

Nobody can be 100% sure which innovation will gain global momentum, but AI and big data might provide relevant hints. These technologies are best for conducting unlimited scenario analyses and testing ideas likely to satisfy tomorrow’s customer expectations. 

3| AI-Assisted Insight Explorations Gamifies Idea Synthesis 

Combining a few ideas is easy but finding meaningful and profitable ideas by sorting the best ones is daunting. Innovative individuals must embrace AI recommendations to reduce time spent on brainstorming, product repurposing, and multidisciplinary collaborations. Furthermore, they can challenge themselves to find ideas better than an AI tool. 

Gamification of brainstorming will facilitate a healthy pursuit of novel product features, marketing strategies, and customer journey personalization. Additionally, incentivizing employees to leverage AI and big data to experiment with designing methods provides unique insights for future innovations. 

4| You Can Optimize Supply Chain Components with Big Data and AI Programs 

AI can capture extensive data on supply chains and offer suggestions on alternative supplier relations. Therefore, businesses will revise supply and delivery planning to overcome the flaws in current practices. 

For instance, Gartner awarded Beijing’s JD.com the Technology Innovation Award in 2024 because they combined statistical forecasting. The awardee has developed an explainable artificial intelligence to enhance its supply chain. Other finalists in this award category were Google, Cisco, MTN Group, and Allina Health. 

5| Academia Can Embrace Adaptive Learning and Psychological Well-Being 

Communication barriers and trying to force all learners to follow the standard course material based on a fixed schedule have undermined educational institutions’ goals worldwide. Understandably, expecting teachers to customize courses and multimedia assets for each student is impractical and humanly infeasible. 

As a result, investors, policymakers, parents, and student bodies seek outcome-oriented educational innovations powered by AI and big data for a learner-friendly, inclusive future. For instance, some edtech providers use AI computer-aided learning and teaching ecosystems leveraging videoconferencing, curriculum personalization, and psycho-cognitive support. 

Adaptive learning applications build student profiles and segments like marketers’ consumer categorizations. Their AI integrations can determine the ideal pace for teaching, whether a student exhibits learning disabilities, and whether a college or school has adequate resources. 

Challenges in Promoting Innovations Based on Big Data and AI Use Cases 

Encouraging stakeholders to acknowledge the need for big data and AI might be challenging. After all, uninformed stakeholders are likely to distrust tech-enabled lifestyle changes. Therefore, increasing AI awareness and educating everyone on data ethics are essential. 

In some regions, the IT or network infrastructure necessary for big data is unavailable or prone to stability flaws. This issue requires more investments and talented data specialists to leverage AI tools or conduct predictive analyses. 

Today’s legal frameworks lack provisions for regulating AI, big data, and scenario analytics. So, brands are unsure whether expanding data scope will get public administrators’ approvals. Lawmakers must find a balanced approach to enable AI-powered big data innovations without neglecting consumer rights or “privacy by design” principles. 

Conclusion 

The future of enterprise, institutional, and policy innovations lies in responsible technology implementations. Despite the obstacles, AI enthusiasts are optimistic that more stakeholders will admire the potential of new, disruptive technologies. 

Remember, gamifying how your team finds new ideas or predicting the actual potential of a business model necessitates AI’s predictive insights. At the same time, big data will offer broader perspectives on global supply chains and how to optimize a company’s policies. 

Lastly, academic improvements and scientific research are integral to developing sustainable products, accomplishing educational objectives, and responding to global crises. As a result, the informed stakeholders agree that AI and big data are perfect for shaping future innovations.  

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How AI Technology Companies Are Revolutionizing Business Operations in India

Indian AI technology companies are doing wonders in transforming traditional business operations in such a fast-paced environment. They redefine business functionality by automating routine work and augmenting the decision process, which enhances the business's ability to be more efficient and bring in cost reduction, hence adding to more strategic growth.

Automating Routine Tasks

Automating repetitive jobs is one of the most crucial ways AI technology companies in India drive business impacts. Whether it's manufacturing, retail, logistics, or any other industry, the ropes of AI-run automation have entered them to streamline operations. Automating tasks like data entry, inventory management, and even customer service will enable this change in business focus toward innovation and customer satisfaction. Such a shift saves time and reduces the scope for human error, ultimately leading to more accurate results.

Enhancing Data Analysis

Data analytics is another domain in which AI technology enterprises are creating powerful companies. Companies generate a lot of data within a day, and manually analysing it for insights is time-consuming and error-prone. AI-powered tools can process and analyze big datasets much more quickly and accurately than human equivalents, so businesses can instantly obtain actual data insights. This allows companies to make informed decision-making, improve customer experience, and predict future trends to stay ahead in the market.

Improving Customer Experiences

Artificial intelligence technology companies are also some of the essential facilitators in ensuring customer experiences. Advanced AI algorithms can be used by businesses to suggest personalized recommendations, predict consumer needs, and provide immediate support through chatbots and virtual assistants. This augurs well not only for the satisfaction of consumers but also in retaining consumers, thereby making them repeat business.

Enabling Predictive Maintenance

Moreover, AI technology companies in India are leading from the front in predictive maintenance. It helps businesses forecast when a machine or equipment is likely to fail by analyzing data emanating from machines and equipment for maintenance before a breakdown of any machine. This proactive approach reduces downtime, increases productivity, and extends the equipment's life, significantly saving costs.

Conclusion

AI technology companies are changing business operations across India through task automation, data analysis, and enhanced customer experience predictive maintenance functions. Businesswise adopting this technology will be agile enough to foil competition in the business environment as technologies go on into the near future. Companies like SCS Tech have come into the lead of these transformations through innovative AI solutions that drive business success.

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The Evolution and Benefits of Online Medical Consultation

The digital age has revolutionized many aspects of our lives, including how we access healthcare. Online medical consultations, also known as telemedicine, have become increasingly popular, providing patients with access to healthcare professionals from the comfort of their own homes. This shift has been driven by the convenience, accessibility, and efficiency that online consultations offer, particularly in a world where time is precious and health concerns can arise unexpectedly.

Accessibility and Convenience

One of the most significant benefits of Online Medical Consultation is their accessibility. Traditionally, accessing healthcare could involve long waiting times for appointments, travel to a healthcare facility, and time spent in waiting rooms. Online consultations eliminate these barriers by allowing patients to connect with healthcare providers from anywhere, at any time. This is particularly beneficial for those living in remote or rural areas, where access to healthcare can be limited.

Additionally, the convenience of online consultations is unmatched. With the ability to schedule appointments at a time that suits the patient, there is no need to take time off work or arrange for childcare. This flexibility is especially valuable for those with busy schedules or mobility issues, ensuring that healthcare is accessible to everyone, regardless of their circumstances.

Efficiency and Cost-Effectiveness

Online medical consultations are not only convenient but also efficient. Many health concerns, such as common colds, allergies, skin conditions, and mental health issues, can be addressed effectively through virtual consultations. This allows healthcare providers to diagnose and treat patients quickly, without the need for an in-person visit. In many cases, prescriptions can be issued, and follow-up care can be managed remotely, reducing the need for multiple appointments.

Moreover, online consultations can be more cost-effective than traditional healthcare. Patients save on travel costs and time, while healthcare providers can manage their time more effectively, seeing more patients and reducing overhead costs associated with maintaining a physical clinic. This cost-effectiveness can make healthcare more affordable and accessible, particularly for those without comprehensive insurance coverage.

Challenges and Future Prospects

Despite the many benefits, online medical consultations do come with challenges. One of the primary concerns is the lack of physical examination, which can be crucial for diagnosing certain conditions. However, advances in technology, such as wearable health devices and remote monitoring tools, are helping to bridge this gap, allowing for more accurate and comprehensive virtual care.

Furthermore, concerns around data security and patient privacy must be addressed as telemedicine continues to grow. Healthcare providers must ensure that the platforms they use are secure and comply with regulations to protect patient information.

Looking ahead, the future of online medical consultations is promising. As technology continues to advance, the scope of what can be achieved through virtual healthcare will expand. The integration of artificial intelligence, machine learning, and advanced diagnostic tools will enhance the capabilities of online consultations, making them an increasingly viable option for a wider range of health concerns. As society becomes more comfortable with digital solutions, online medical consultations are likely to become a standard part of healthcare, providing patients with accessible, efficient, and cost-effective care.