artificial intelligence
AI pioneers Geoffrey Hinton and John Hopfield win Nobel Prize in Physics
The Royal Swedish Academy of Sciences has awarded the prestigious 2024 Nobel Prize in Physics to two visionary researchers, Dr Geoffrey Hinton and Dr John Hopfield, whose pioneering work in artificial intelligence has redefined the boundaries of human knowledge and technological innovation.
This remarkable honour is a testament to their trailblazing contributions that laid the groundwork for the development of machine learning, a field that is reshaping the future of humanity with unprecedented promise and peril.
Dr Hinton, often heralded as the “Godfather of AI,” and Dr Hopfield, a towering figure in both physics and computational neuroscience, have been celebrated for their foundational contributions to artificial neural networks — intricate computational systems inspired by the human brain.
This milestone accolade places AI’s influence on par with the monumental discoveries of classical physics, underscoring the transformative power of interdisciplinary research.
Dr Geoffrey Hinton, a dual citizen of Canada and the United Kingdom, currently affiliated with the University of Toronto, is renowned for his innovative work in deep learning and backpropagation — a learning mechanism that enables computers to self-improve by repeatedly fine-tuning their processes until perfection is achieved.
His groundbreaking research in the 1980s not only changed the trajectory of AI but also served as a beacon for countless researchers and innovators across the globe.
The Nobel Committee recognised Dr John Hopfield’s equally pivotal role in the 1980s, particularly his development of associative memory models capable of storing and retrieving complex data patterns.
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Dr Hopfield, now an emeritus professor at Princeton University, has long been celebrated for bridging the realms of physics, biology, and computer science to unravel some of the most intricate puzzles of the human mind.
“The work of these two gentlemen has not only paved the way for the current explosion in artificial intelligence but has also challenged and expanded our understanding of what it means to learn, to know, and to reason,” said Nobel Committee member Mark Pearce. “They have built the very bedrock upon which the modern era of AI stands.”
Shaping the Future
While the announcement has brought jubilation to the global scientific community, it also arrives at a time of heightened introspection.
The rapid advancement of artificial intelligence has sparked fervent debate about its implications for society, with even the laureates themselves voicing deep concern over the unintended consequences of these powerful systems.
In his acceptance remarks, Dr Hinton, who recently stepped down from a high-profile position at Google to speak more openly about his concerns, warned that AI’s meteoric rise poses profound challenges for the future.
“We have no experience of what it’s like to have something smarter than us. And it’s going to be wonderful in many respects,” Hinton observed with a mixture of awe and caution. “But we also have to worry about a number of possible bad consequences, particularly the threat of these things getting out of control.”
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Dr Hopfield echoed these sentiments, drawing parallels between AI’s disruptive potential and past revolutionary scientific breakthroughs such as nuclear energy and virology. “With great power comes great responsibility,” he said somberly, invoking imagery from George Orwell’s dystopian masterpiece 1984 and Kurt Vonnegut’s cautionary tale Cat’s Cradle.
The laureates stressed the need for ethical guidelines and societal dialogue to harness AI’s vast benefits without compromising human values and autonomy. Dr Hinton, in particular, has long advocated for greater scrutiny and oversight, predicting that AI’s impact could be comparable to the Industrial Revolution in scale and scope.
A Celebration and a Call to Action
The Nobel Prize, which includes a cash award of 11 million Swedish kronor (£900,000), will be formally presented to Dr Hinton and Dr Hopfield at a ceremony in Stockholm on December 10, the anniversary of Alfred Nobel’s death.
As the world applauds their monumental achievements, the laureates’ reflections serve as a powerful reminder that while technology can elevate society to new heights, it can also bring forth profound ethical dilemmas that demand our collective wisdom and vigilance.
Dr Hinton’s words to the younger generation of researchers were tinged with both inspiration and caution: “Don’t be put off if everyone tells you what you are doing is silly. But remember, in the rush to build, we must also take the time to think.”
With this year’s Nobel Prize, the Royal Swedish Academy of Sciences has not merely recognised two individuals but has also ushered in a new era where the blurred lines between science, technology, and philosophy are explored with the hope of shaping a brighter, safer, and more enlightened future for all.
Source: With inputs from AP
1 month ago
How to Detect an AI-generated Image
The surge in AI (artificial intelligence) has revolutionized content creation, blurring the lines between what is genuine and what is computer-generated. As this technology becomes more sophisticated, the challenge of distinguishing between real and AI-generated content intensifies. This distinction is increasingly vital for maintaining credibility in the media. This article presents proven and reliable techniques for accurately identifying AI-made images.
Proven Strategies to Identify an AI-generated Image
Analyzing Image Details
AI-crafted visuals often exhibit subtle, yet telling inconsistencies. For instance, textures might appear unnatural or overly smooth, while object alignments can seem off, forming a sense of visual distortion. Common issues include strange artifacts around edges or repetitive patterns uncommon in real-world photography.
Additionally, aspects like hair, hands, or reflections are often areas where AI struggles to replicate natural accuracy. Discrepancies that hint at artificial creation can be detected more readily by closely analyzing these details.
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Metadata Examination
Genuine photographs typically contain detailed metadata, including camera model, lens type, exposure settings, and even GPS coordinates. Algorithmically designed images, however, often need more comprehensive data. Instead, metadata might show signs of image-editing software or specific AI tools used in the design process.
For example, metadata may include software names or unusual data entries that deviate from standard photographic metadata. Scrutinizing these elements often discerns whether the image was taken with a camera or generated through AI.
Understanding AI Art Styles
Recognizing digitally fabricated images often involves understanding their distinct artistic styles. These computer-programmed arts often follow distinct patterns, including surreal elements, exaggerated forms, and strikingly vibrant color schemes. The configurations always stand apart from conventional photography.
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For instance, AI might produce images with inconsistent lighting or shadow effects, or details that appear overly smooth or enhanced. Familiarity with these stylistic traits and digital quirks are poised as major indicators for simulated fabrication.
Reverse Image Search
Submitting an image to a reverse search engine allows users to uncover its online appearances, including potential sources and related visuals. This method can reveal if a picture is linked to known AI databases or if it has been flagged as computer-generated in other contexts.
Furthermore, reverse searches can uncover if the image has been used or modified in various locations. This assessment assists in verifying if the work is original or not.
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Checking for AI-made Elements
Examining specific elements within an image can expose a lack of authenticity. For example, unnatural lighting and shadow effects generally do not match the real-world light sources in the scene. AI may struggle with accurate light source placement, leading to inconsistent or unrealistic shadowing.
In addition, synthesized imagery might feature unusual combinations of objects or scenarios that defy logical consistency, such as items appearing in impractical or improbable arrangements. Spotting these discrepancies helps determine if an image is created by AI rather than being a genuine photograph.
Summing Up
Detecting AI-generated images requires a keen eye and a strategic approach. Analyzing subtle inconsistencies in visual details and verifying metadata can reveal digital origins. Distinctive AI styles and reverse image searches help track image sources. Finally, assessing lighting and object placement ensures natural accuracy. With advancing AI technology, identifying these features is essential for ensuring the authenticity and credibility of visual media.
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2 months ago
Best Text-to-Speech Software in 2024
In recent years, the advancement of AI technology has somewhat revolutionized how people work with the internet. In this wave, text-to-speech softwares are assisting professionals from diverse backgrounds. Developing an AI produced speech out of written text, these apps and software are saving time and effort. Here’s a list of some efficient text-to-speech software. Let’s explore their features, pros, cons, and prices.
7 Popular Text-to-Speech Software and Apps in 2024
Listening
If you’re looking to convert natural-sounding, high-quality academic texts to speech, then Listening might be the perfect solution for you. The platform specializes in natural-sounding speeches that mimic human emotions.
Currently Listening can convert to speech from direct docs, journal articles, and even PDFs. There’s a large pool of AI voices to choose from as well as extensive language support. The pricing plan for Listening is $19.99/month or $125/year with three days of trial period.
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Pros:
- Easy-to-navigate interface - Realistic voice - Extensive selection of languages - Customizable voices
Cons:
- The free version offers limited features
Software link: https://www.listening.com/
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Balabolka
Balabolka is one of the best free text-to-speech software out there. It can be used in several ways. Firstly, users can directly input the text into the platform. Concurrently, any Word doc, PDF, or HTML file can also be uploaded to the platform.
On the output end, the platform supports SAPI 4 with eight different voices, SAPI 5 with two voices as well as Microsoft’s native speech platform. The outputs can be time-stamped for ease of navigation.
Pros:
- It's completely free - Wide range of voice options - Wide range of text options.
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Cons:
- Dated interface
Software Link: https://balabolka.en.softonic.com/
Natural Reader
Natural Reader is another freemium text-to-speech software geared for those looking for a host of customization and editing options. The software has two versions, a desktop one and a cloud-based one.
The desktop version offers a host of customizability with a standard working mechanism. You upload a text file and convert it into a speech file. But things get interesting with their cloud platform.
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Here users can make use of the floating bar. You can highlight any text on any platform and use the floating bar to customize the speech output. It's pretty neat in terms of easing the workload.
Pros:
- OCR compatible - Interface choices - Can be added as a browser extension.
Cons:
- Cloud-based - The free plan has limited voice options.
Software Link: https://www.naturalreaders.com/online/
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Cloud Google Text-to-Speech
As one of the leading companies working with speech recognition AI, it's no surprise that Google has a text-to-speech feature under their Cloud service. And it's one of the best in business. The feature uses Google’s state-of-the-art AI integration to detect and use hyper-realistic speech voices to create output.
The feature is available as an API that can be integrated into any project. There is a monthly cap on the free version. However, the pay-as-you-go plan would work best for anyone looking for a human-like speech for their texts.
Pros:
- Wide range of language support - Options for pitch, speaking rate, and volume gain- Easy-to-use API.
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Cons:
- Not a standalone software - Requires Google Cloud account.
Software Link: https://cloud.google.com/text-to-speech
Panopreter Basic
Panopreter basic works best for those who are new to the world of text-to-speech conversion. The interface of the software is designed in a way that is easy to navigate and quick to learn. The text input supports a host of options including direct web pages.
The output however is limited to either MP3 or WAV formats. There’s a premium plan that brings additional customizability.
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Pros:
- Ability to integrate web pages - Supports speech dictionary - Easy to navigate.
Cons:
Only available for the Windows platform.
Software Link: https://www.panopreter.com/en/products/pb/index.php
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WordTalk
WordTalk is designed for those who exclusively work in the Microsoft Word platform. The software is developed by the University of Edinburgh as an extension of Microsoft Word.
The extension interface is fairly simple and basic. However, the converter does support SAPI 4 and 5 voices with limited customizations.
The use of narration and keyboard shortcuts are also nice additions to this simple converter.
Pros:
- Can be used as an extension - SAPI 4 and 5 supported - Speech dictionary.
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Cons:
Only works with Microsoft Word.
Software Link: https://www.wordtalk.org.uk/
ReadAloud
ReadAloud is designed as a text-to-speech converter on the go. It can be primarily used as a browser extension for real-time text-to-speech conversions. ReadAloud has been tested to work perfectly with web pages, PDFs, and Google Docs among others.
For real-time conversions, ReadAloud highlights the part of the texts being read for ease of following along.
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The free version has limited features. Users can choose a lifetime licensing for a one-time payment of $99.99 or subscribe to their monthly plan for $4.99.
Pros:
- Easy to use - Supports up to 55 languages - Text highlighting feature - Integrates seamlessly with any browser.
Cons:
- Downloads are available only with the premium plan - Currently, it only works with Chrome and Firefox browsers.
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Software Link: https://chromewebstore.google.com/detail/read-aloud-a-text-to-spee/hdhinadidafjejdhmfkjgnolgimiaplp?hl=en&pli=1
4 months ago
Craft a Job-Winning Resume with AI: Step-by-Step Guide to Stand Out
The job market is increasingly competitive, and showcasing your qualifications and achievements effectively is crucial. A compelling resume is the first step towards landing your dream job. With advancements in artificial intelligence (AI), numerous AI resume builder apps and software can help craft a job-winning resume. AI ensures that your resume highlights the right points and metrics to attract both recruiters and applicant tracking systems (ATS). Here's how you can use AI to create an impressive resume.
How AI Enhances Resume Crafting
Today’s AI technology is driven by sophisticated algorithms that analyze vast amounts of data related to job positions, descriptions, requirements, performance metrics, and successful profiles. AI uses this data to craft a resume and predict its effectiveness for specific roles. Here are some key areas where AI works its magic:
Keyword Optimization
AI identifies and incorporates essential keywords into your resume. This helps your resume stand out to human recruiters and ensures it passes through ATS filters. For example, if you’re applying for a marketing position, AI can highlight terms like “SEO,” “content strategy,” and “digital marketing,” which are likely to catch the attention of both ATS and human recruiters.
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Content Strategy
AI can refine your resume content by rephrasing descriptions and quantifying achievements. These improvements are based on successful precedents, ensuring your resume is both impactful and relevant. For instance, if you’re a project manager, AI might suggest transforming “managed a team” into “led a team of 15 to complete a $2 million project ahead of schedule.”
Formatting and Grammar Check
AI tools can format your resume for ATS compatibility, creating a clean, minimalistic, and easy-to-navigate document. Additionally, tools like Grammarly ensure your resume is free of grammatical errors, enhancing its professionalism. A well-formatted resume with impeccable grammar presents a polished and competent image to potential employers.
4 months ago
Free Online AI Courses by Harvard University from Basic to Advanced Levels
Artificial Intelligence (AI) is a rapidly transforming field and learning AI opens vast career opportunities across industries. If you are interested in learning AI, there are lots of free resources online. What if you can do an AI course from one of the most prestigious universities in the world? Harvard University offers several free AI courses online. These courses can help a lot to boost your AI knowledge and skills.
Free Artificial Intelligence Courses by Harvard University
Introduction to Computer Science
Students can explore the intellectual realms of computer science and grasp programming fundamentals through this course. Designed for beginners, it introduces the basics of computer science and programming, focusing on computational thinking and problem-solving with technology. Open for enrollment until December 31, 2024, this course is taught by David J. Malan.
It offers a comprehensive entry-level experience for majors and non-majors, with or without prior programming knowledge. Over 11 weeks, students learn to think algorithmically and solve problems efficiently, covering topics such as abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development.
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Introduction to Artificial Intelligence with Python
This course explores the fundamentals of AI and machine learning, focusing on Python programming, making it perfect for those interested in this rapidly evolving field. Through this course, you will uncover foundational AI concepts and machine learning algorithms, diving into the ideas behind technologies such as game-playing engines, handwriting recognition, and machine translation.
Open for enrollment until December 31, 2024, the course is 7 weeks long.
Data Science: Machine Learning
This self-paced course offers a hands-on learning experience, guiding participants through the creation of a movie recommendation system and demonstrating the practical application of machine learning within data science. Ideal for those seeking insights into machine learning, a cornerstone of data science, the course culminates in building a functional movie recommendation system.
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As part of the Professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularisation techniques. This course can help you gain practical experience and deepen your understanding of machine learning.
Web Programming with Python and JavaScript
Elevate your web development skills with this 12-week course, expanding upon CS50 basics to delve into Python, JavaScript, and SQL for advanced app design and implementation. Ideal for those looking to enhance their programming skills, it offers a thorough exploration of modern web application development techniques.
Covered topics include database design, scalability, security, and user experience. Through hands-on projects, you will learn to develop and use APIs, create interactive user interfaces, and utilise cloud services such as GitHub and Heroku. By the course's end, you will have the knowledge and experience to design and deploy applications on the Internet. You can enrol this course to advance your web development skills.
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Understanding Technology
The Understanding Technology course demystifies everyday technology by exploring its functionality and implications in daily life, perfect for curious minds. Ideal for those seeking deeper insights into how technology shapes our world without needing a computer science or engineering background, this course is an introduction to technology for students who do not (yet) consider themselves tech-savvy.
Designed for individuals who use technology daily but may not understand its inner workings or know how to troubleshoot issues, this 6-week course fills in the gaps, empowering you to use and solve problems with technology more effectively.
Additional Course Description
These free AI courses from Harvard University provide learners with the opportunity to grasp AI fundamentals and understand the intricacies of technology without any financial burden. Designed to expand knowledge and shape individuals’ tech journeys, these self-paced courses allow participants to learn at their convenience.
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Enrolment is currently open, with courses available until December 31, 2024, offering ample time to partake in this educational opportunity. Harvard University’s free AI courses, available via Coursera, are a significant contribution to the democratisation of AI education, blending the institution’s academic prestige with the benefits of digital learning platforms.
Closing Lines
Online courses can significantly advance your career prospects. Free online courses by Harvard University can open limitless opportunities for people of all ages and cultures around the world.
The above-mentioned free and open courses from Harvard University can provide a strong foundation for understanding AI. With dedication and further exploration, you can pursue a rewarding career path in the growing field of AI.
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5 months ago
ChatGPT, Gemini won't reach human intelligence, Meta AI chief says
The artificial intelligence that powers systems like OpenAI's ChatGPT, Google's Gemini and Meta’s Llama will not be able to attain human levels of intelligence, said Meta's AI head Yann LeCun.
In an interview published in the Financial Times on Wednesday, he gave an insight into how the tech giant expects to develop the technology going ahead, only weeks after its plans to spend massively frightened investors and destroyed hundreds of billions from its market worth, reports Forbes.
ChatGPT-4: All you need to know
The models, commonly referred to as LLMs, are trained using massive quantities of data, and their capacity to properly respond to prompts is restricted by the type of the data on which they are trained, according to LeCun, implying that they are only accurate when given the appropriate training data, it said.
LLMs have a "limited understanding of logic," lack enduring memory, do not understand the physical world, and cannot plan hierarchically. LeCun said, adding that they “cannot reason in any reasonable definition of the term.”
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Because they are only accurate when fed the correct training data, LeCun, considered one of three "AI godfathers" for his fundamental contribution in the field, stated that LLMs are also "intrinsically unsafe" and that researchers seeking to produce human-level AI should look at other models, the report said.
LeCun stated that he and his roughly 500-strong team at Meta's Fundamental AI Research lab are working to develop an entirely new generation of AI systems based on an approach known as "world modelling," in which the system builds an understanding of the world around it in the same way that humans do and develops a sense of what would happen if something changed as a result, added the report.
What Is Google Gemini AI? How to Use the New Chatbot Model
LeCun predicted that human-level AI may take up to ten years to create using the world modelling technique.
5 months ago
Humane’s Ai Pin: Incredible Features of the ‘Smartphone Killer’
AI has already become a promising technology, demonstrating the convenience it can add to daily life, letting people automate different tasks and get a more satisfactory experience. With mobiles, computers, smartphones, cameras, glasses, rings, and watches, the world has seen a vast implementation of AI technology over the last few years, and the latest addition to the list is an Ai pin. A San Francisco-based tech innovating company, Humane Inc., has announced the soon-to-be-placed launch event, either at the end of March or in early April.
What is Humane’s Ai Pin?
A tiny, superlight, and lightweight wearable device, the Ai pin integrates AI technology, a projector, and numerous sensors to bring up a few cutting-edge functionalities, which can be intuitive or natural. However, where this brilliant AI Pin shines the most is its capacity to act like a smartphone, at a level of efficacy that people have termed it “a smartphone killer pin,” without even using a screen or a digital interface. The world is about to observe how a small peck of a pin can replace screen scrolling.
The pin turns on when touched and takes directives from the user's voice or hand gesture. It will take directive over voice command and run applications or provide information with the power of a sublime Ai with oral interaction capacity.
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Invention
The whole idea of the Ai Pin has taken birth from two extraordinary minds- Imran Chaudhri, CEO of Humane Inc., and his wife, Bethany Bongiorno. The couple said their prime goal was to free humanity from smartphone addiction. Soon, the AI Pin will hit the market under the banner of Humane, founded by a couple of ex-app executives, giving them a proper chance to achieve their goal.
With people bolstering the positive and limited sides of the device, Humane and several more big-name companies like Microsoft, OpenAi, and so on have visioned potentiality in the idea of an Ai device that users can clip to their clothes.
Imran Chaudhri and Bethany Bongiorno have combined a handful of modern technologies, such as app development, networking, cloud computing, databases, laser projections, etc., underneath their latest innovation. Each technology will work jointly with the rest and provide the ultimate result — communication with a user through projecting a laser diagram on the user’s palm and voice command.
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Specs and Features
Humane Ai has released a video exhibiting a few of the critical features of Ai Pin, only to shock users and show what’s coming.
The tiniest and the quickest source of info: The Pin wields a dynamic UI to generate a user interface optimized for the different types of information.
Communication: The tiny pin lets users take calls and send messages with voice commands. Users have to name the recipient and instruct the Ai pin to give phone calls or write and send texts.
Camera: The pin rooms dot cameras to take photos and record videos if necessary instruction is given. Users can record videos or take pictures by tapping a finger on the pin.
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Media playback: Like all modern devices, the pin allows users to play different media files precisely and smoothly.
Reminders and Notes: An essential feature that every device with a user interface has, the ability to take notes and set reminders is installed in the Ai Pin. Users will be able to use this feature easily by commanding through voice.
Web search: The Ai Pin can look up any keyword or information on the web and provide the data asked by a user. On request, it can provide the data in an easy format.
Translation: The Ai pin will let users search words and sentences and find answers in more than 50 languages, which can be convenient during emergencies or travel.
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Productivity: Multiple productivity tools and software like After Effects and PhotoShop can be connected to Ai Pin to instruct different courses of action.
Image Recognition: Humane’s Ai Pin can scan images and provide critical information like how old the images are, what is in the image, and other information about the origin. The pin can do the same with objects, too.
Notification: Dealing with notifications will be systematic with the Ai Pin. It will store and summarize all the notifications in a place and inform the user when instructed without needing to open all individual apps.
Read more: What Is Google Gemini AI? How to Use the New Chatbot Model
7 months ago
What Is Google Gemini AI? How to Use the New Chatbot Model
The age of generative AI started its journey in 2023. Day by day, the features of generative AI like chatbots are being improved to enhance user experience around the world. Google's Bard made waves with its capabilities, but now, a new era dawns with Gemini. This innovative chatbot boasts enhanced intelligence and functionality. Join us as we explore Gemini's features, capabilities, and impact on the future of conversational AI.
What Is Google Gemini AI?
Google Gemini is the newest and most advanced artificial intelligence made by Google. It understands images, videos, text, and even sounds. What makes Gemini stand out is how it acts almost like a human. Gemini AI is good at understanding information, solving problems, and planning for the future.
Gemini has three versions: Pro, Ultra, and Nano. The Pro version has been released already, and the Ultra version will be available next year. It is expected that Gemini will play a crucial role in the latest chatbot technology, pushing the boundaries of what AI can do.
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How to Use the New Chatbot Model of Google
Gemini AI is a type of computer system called a neural network. It has been trained using a huge amount of text and code from various sources like books, articles, and code repositories. This training helps the neural network understand the patterns and connections between words and phrases in this data. As a result, Gemini AI can do things like generate text, translate languages, create different types of content, and provide informative answers to questions.
How to Use Gemini AI
If you have a Google account already, using Gemini is easy. Just go to the website using your internet browser and log in with your Google details. But remember, you need to have a Google account.
If you use a Google Workspace account, you might need to switch to your email to try Gemini.
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8 months ago
Microsoft unveils strategic AI vision for India; here are the details
Microsoft has announced a comprehensive strategy to spearhead the development of artificial intelligence (AI) in India, aiming to empower AI developers and secure its position as the country's most trusted AI partner.
During a keynote in Bengaluru, CEO Satya Nadella outlined the company's mission to democratize AI access, stating, "AI for everyone. We want to be India's most trusted partner for that," as reported by NDTV. This initiative underscores Microsoft's commitment to fostering inclusivity and accessibility in the AI domain.
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As part of its commitment, Microsoft plans to provide AI training opportunities to 2 million individuals in India by 2025. This initiative will particularly focus on individuals in tier 2 and tier 3 cities, as well as rural areas, aiming to promote equitable socio-economic development across the country. Nadella highlighted the importance of collaboration between India and the United States in establishing AI regulations and laws to guide this technological progression.
Reflecting on the evolution of chat-based AI technologies like GPT, Nadella celebrated the historical advancements in computing and expressed the goal of creating machines that can understand human users to facilitate natural conversations on a variety of subjects, including sports.
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Microsoft's strategy involves leveraging a neural engine for digitizing and processing data to analyze vast information sets and identify patterns. The company anticipates that AI will significantly contribute to economic growth, especially through initiatives like Microsoft Copilots. This new venture is set to be promoted through an extensive marketing campaign, aiming to solidify Microsoft's role in the AI landscape.
Moreover, Microsoft is investing in the development of AI infrastructure, including model training and inference capabilities. Nadella boasted about possessing some of the most advanced big models, such as variations of GPT, and detailed an ambitious plan for expanding the company's AI capabilities.
New York Times suing ChatGPT maker OpenAI, Microsoft for copyright infringement
9 months ago
Can AI Replace Artists?
Think of a world where art co-exists with generative art. The music that we listen to, the art that we gaze and the sculptures that we admire could one day be a creation of Artificial Intelligence (AI) rather than solely being a human product. The thought sparks ideas of opportunity as well as concerns for the future. Will generative AI replace what makes art human? Let’s try to find some answers.
AI in Art: A Rising Threat?
The history of humans creating art predates civilization itself. In fact, the oldest recorded art dates back 45,500 years! Compared to that, AI integration, or more commonly generative art is barely a year or two old.
The use of tech in art has, however, been prevalent for a few decades now. For all of this time, tech and human creativity co-existed to bring art to different verticals. But with AI, there’s a new dimension, a new advancement that simplifies the process. The democratization of art, as many call it, is also a means of exploitation that undermines what separates human art, the use of creativity in its true sense.
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Let’s look at how AI impacts different art verticals to get a better understanding.
9 months ago