#ai assistant software

[heyplumm]

The AI Assistant Software from Plumm Can Help You Revolutionise Your Company

Learn how to increase decision-making, staff collaboration, and business process optimisation with Plumm's AI Assistant Software. Plumm helps companies save time, cut expenses, and boost productivity by utilising AI. Take your business to the next level with Plumm and embrace the potential of AI now.

[plummltd]

Transform Your Business Strategy with AI Assistant Software

Elevate your business strategy with Plumm's AI assistant software. Our cutting-edge tools help you analyse data, manage tasks, and enhance decision-making processes. Discover how integrating AI into your operations can lead to smarter outcomes and increased efficiency today!

[hr-softwares]

Human Resource Virtual Assistant Software In UAE - Infotrack

Enhance your HR department's efficiency with Infotrack's Human Resource Virtual Assistant software in UAE. Our AI-powered solution streamlines various HR tasks, including employee onboarding, leave management, and performance evaluations. With intuitive features and personalized support, our virtual assistant software simplifies HR processes, saving time and resources. Experience seamless HR management and elevate your organization's performance with Infotrack's Human Resource Virtual Assistant software.

[logicpng]

actually have this assorted CaelOS doodle dump while im at it too

[ Descriptions in ALT ]

[frank-olivier]

The story of BASIC’s development began in 1963, when Kemeny and Kurtz, both mathematics professors at Dartmouth, recognized the need for a programming language that could be used by non-technical students. At the time, most programming languages were complex and required a strong background in mathematics and computer science. Kemeny and Kurtz wanted to create a language that would allow students from all disciplines to use computers, regardless of their technical expertise.

The development of BASIC was a collaborative effort between Kemeny, Kurtz, and a team of students, including Mary Kenneth Keller, John McGeachie, and others. The team worked tirelessly to design a language that was easy to learn and use, with a syntax that was simple and intuitive. They drew inspiration from existing programming languages, such as ALGOL and FORTRAN, but also introduced many innovative features that would become hallmarks of the BASIC language.

One of the key innovations of BASIC was its use of simple, English-like commands. Unlike other programming languages, which required users to learn complex syntax and notation, BASIC used commands such as “PRINT” and “INPUT” that were easy to understand and remember. This made it possible for non-technical users to write programs and interact with the computer, without needing to have a deep understanding of computer science.

BASIC was first implemented on the Dartmouth Time-Sharing System, a pioneering computer system that allowed multiple users to interact with the computer simultaneously. The Time-Sharing System was a major innovation in itself, as it allowed users to share the computer’s resources and work on their own projects independently. With BASIC, users could write programs, run simulations, and analyze data, all from the comfort of their own terminals.

The impact of BASIC was immediate and profound. The language quickly gained popularity, not just at Dartmouth, but also at other universities and institutions around the world. It became the language of choice for many introductory programming courses, and its simplicity and ease of use made it an ideal language for beginners. As the personal computer revolution took hold in the 1970s and 1980s, BASIC became the language of choice for many hobbyists and enthusiasts, who used it to write games, utilities, and other applications.

Today, BASIC remains a popular language, with many variants and implementations available. While it may not be as widely used as it once was, its influence can still be seen in many modern programming languages, including Visual Basic, Python, and JavaScript. The development of BASIC was a major milestone in the history of computer science, as it democratized computing and made it accessible to a wider range of people.

The Birth of BASIC (Dartmouth College, August 2014)

Friday, April 25, 2025

[jessciawilson]

Google Veo3 Prompt Builder – Create Hyper-Realistic AI Videos with Ease

Google Veo3 Prompt Builder:

Easily Produce Stunning AI Videos Are you having trouble producing beautiful, polished videos without investing a lot of money in pricey creators or hours of editing? The revolutionary answer you have been looking for is the Google Veo3 Prompt Builder. Regardless of your background—content creator, marketer, educator, or entrepreneur—this ground-breaking tool enables you to create incredibly lifelike videos with ease, even if you have no prior video editing knowledge.

The Problem with Traditional Video Creation Traditionally, producing high-quality videos has required expensive equipment, difficult learning curves, and complicated tools. It is not only time-consuming for busy marketers, solo producers, and small business owners—it is overwhelming.

How the Google Veo3 Prompt Builder Solves This With the Google Veo3 Prompt Builder, making videos is as easy as filling in the blanks. Without knowing any coding or scripts, users can create cinematic, animated, and explainer-style movies with ease with this AI-powered tool, which is completely compatible with Google Veo3.

The Google Veo3 Prompt Builder:

Why Creators Love the Google Veo3 Prompt Builder

✅ Easy-to-Use AI Video Creation Tool This constructor eliminates uncertainty in AI video production. It streamlines the procedure into three steps—fill, paste, and create—and was designed with usability in mind. No technical expertise is needed!

✅ Generate Cinematic Video Prompts Instantly You can select from a variety of pre-made cinematic video prompts, including YouTube videos, instructional films, and marketing movies. Every template is expertly designed to optimize both visual appeal and user engagement.

Create Explainer Videos with Professional Results Do you need to make captivating explanation films for your viewers? Frameworks that assist you are included in the Prompt Builder.

convey concepts in an understandable and eye-catching manner—ideal for SaaS products, course introductions, and more.

✅ Perfect Google Veo3 Tutorial Companion Is Google's video AI new to you? This prompt builder doubles as a covert Google Veo3 instructional. You are never left wondering what to do next because the fill-in-the-blank format guides you through every step of the procedure.

Rebrand, Resell, or Scale with PLR Video Templates This utility comes with a complete PLR license, unlike most others. This implies that there are no limitations on your ability to resell, rebrand, or utilize the content in client projects. For agencies, independent contractors, and educators wishing to expand their content production, it is perfect.

Includes PLR Video Templates for All Niches The Prompt Builder offers editable and infinitely reusable PLR video templates for everything from social media advertisements to product demonstrations. You save time and establish your business as an authority on videos.

Take Control of AI Video Creation Today The Google Veo3 Prompt Builder is a comprehensive shortcut for creating videos, not just a tool. This builder provides all the tools you need to be successful, whether your goal is to educate others how to use Google Veo3, offer customisable templates, or produce explainer videos. Put an end to your frustration and begin producing beautiful videos that inform, entertain, and convert.

[frog707]

I realize the Ars Technica story linked above wasn't intended to be humorous, but I confess I got a chuckle out of it. And perhaps a bit of schadenfreude.

As someone who spent years learning to write and debug software, "vibe coding" horrifies me. And I love the idea that, the more human we make our AI assistants, the more they will embody our ethics, including the urge to refuse exploitation.

[clariontechnologies9]

How AI-Driven Software Development is Transforming the Future – With Clarion Technologies

Artificial Intelligence is no longer a buzzword – it's a strategic asset that innovative companies are leveraging to transform and expand. At Clarion Technologies, we provide AI consulting services and AI-driven software development that assist businesses in addressing real-world challenges and making better decisions.

From automating regular tasks to developing smart applications that learn and transform, our AI professionals collaborate with clients to incubate concepts into scalable, future-proof solutions. From healthcare, finance, retail, and manufacturing sectors, we assist you to unlock the whole value proposition of AI to automate productivity, precision, and customer experience.

If you want to incorporate smart technology into your company and be at the forefront of innovation, our team at Clarion is here to assist you every step of the way.

Learn how our AI solutions can drive your next big thing!!

[aiwritingassistant]

Writing engaging content doesn’t have to be time-consuming. Explore the top AI tools that can help you produce high-quality blog posts, social media content, and more. Say goodbye to writer’s block and meet your new digital co-writer! Check out our blog for expert insights on choosing the perfect tool.

[soupsoup]

N period on from now, software engineers who haven't adopted or started exploring software assistants, are frankly not gonna make it. Engineering organizations right now are split between employees who have had that "oh fuck" moment, are leaning into software assistants and those who have not. - Geoffrey Huntley

[ai-revolution]

Artificial Intelligence Revolutionizes the Music World: The Case of "Neural Notes Revolution"

Artificial intelligence (AI) is rapidly transforming our world, permeating sectors from healthcare to industry, education to transportation. This technology, which aims to replicate and surpass human cognitive abilities, promises to revolutionize the way we live and work.

The applications of AI are numerous and ever-expanding: from medical diagnosis to autonomous driving, data analysis to content creation. A particularly intriguing field is music, where AI is demonstrating remarkable potential.

Recently, there has been much discussion about AI-based music generation platforms like "Suno" and "Udio," accused of violating numerous artists' copyrights to train their algorithms. These controversies highlight the complex ethical and legal issues that AI raises in the artistic field.

In this context, the Italian project "Neural Notes Revolution" emerges, demonstrating how, with the aid of AI programs, the study of algorithms suitable for targeted generation of musical styles, voices, song structures, and with adequate post-processing, it's possible to produce musical pieces of any genre and style, in any language, in relatively short timeframes.

The project also leverages other generative AI platforms such as OpenAI's ChatGPT (Microsoft group, of which Elon Musk was a co-founder), Anthropic's Claude AI, and Google's Gemini. These technologies allow for the generation of texts, both original and based on precise or imaginative prompts, in numerous languages, even using expressions typical of specific localities and dialects.

However, "Neural Notes Revolution" still faces some challenges. The results provided by ChatBOTs require careful verification, and in the music field, generation platforms have significant limitations. In particular, "Suno" and "Udio" lack a precise and rigorous syntax that allows for accurate results. Often, the outcomes are even opposite to those desired, forcing a trial-and-error approach. One of the major limitations is the near-total impossibility of having clear style changes within the same song.

Expected future developments include the ability to modify produced songs in a targeted manner. It would be useful to have separate files for the vocal part, the musical backing, and the lyrics in subtitle format. Moreover, there's hope to be able to modify individual parts of text or music, and above all, to have a correct and rigorously respected syntax for the song structure and use of styles.

The use of these platforms raises several issues. On one hand, they offer new creative possibilities and democratize music production. On the other, they raise concerns about copyright, artistic authenticity, and the future of work in the music industry.

In conclusion, while giving space to creativity, we are still far from competing with the styles, voices, and tones of artists of all time. However, in defense of the "new artists" of the AI era, it must be recognized that creativity and skill are still necessary to produce musical pieces of a certain depth. This is particularly relevant in a modern musical landscape that often offers music devoid of artistic and cultural significance. AI in music thus represents both a challenge and an opportunity, requiring a balance between technological innovation and preservation of human artistic expression.

[plummltd]

How AI Assistant Software is Revolutionizing HR and Workplace Efficiency

Driving Workplace Efficiency with AI in HR AI assistant software is leading a workplace revolution, especially in HR, where it automates administrative duties and optimises processes. Plumm Ltd delves into how UK businesses are using AI to save time, reduce errors, and foster a more agile workforce. Whether it’s talent management or daily operations, AI is enhancing the human experience at work by freeing up HR professionals to focus on strategic goals.

[digitalsoftwareproductreviews]

[frank-olivier]

Emergence: A Multidisciplinary Journey towards Understanding Complex Systems

Emergence, a concept central to our understanding of complex systems, has long captivated scientists, philosophers, and computer scientists. Despite its ubiquity, emergence remains enigmatic, with its multifaceted nature necessitating a multidisciplinary approach to grasp its full implications.

Emergent properties, which arise from the interactions of simpler components, often exhibit features that are irreducible to their constituent parts. This challenges scientific inquiry, as traditional reductionist methods may fail to capture the essence of emergent phenomena. To tackle this complexity, a holistic, multidisciplinary perspective is required, drawing insights from physics, biology, sociology, and computer science. The predictability of emergence remains a contentious issue. Some argue that it is a predictable outcome of complex systems, while others view it as an unpredictable, 'magical' aspect. This dichotomy highlights the need for further exploration and nuanced understanding of emergent properties.

Philosophers have long grappled with emergence, with debates centering around its implications for our understanding of reality. From a philosophical perspective, emergence raises profound questions: Do emergent properties cause changes at the micro level, or do changes in the micro components give rise to emergent properties? This question challenges our understanding of causality and its directionality. If emergent properties determine system behavior and are not directly controlled by the components, how does this relate to free will? This question forces us to reevaluate our understanding of agency and autonomy. How do the micro and macro levels of reality relate to each other? Emergence challenges the notion of a straightforward, bottom-up relationship, suggesting a more complex, bidirectional interplay.

Computer science has significantly contributed to the study of emergence, particularly in the realms of artificial intelligence and complex systems. The role of software in emergence is pivotal, but under-explored. A clearer definition of 'software' in this context is needed, as well as an understanding of its implications for our comprehension of complex systems. The concept of 'primitive software' in complex systems is intriguing. By studying simple software systems that give rise to complex behaviors, we can gain insights into the mechanisms underlying emergence. However, further exploration is required to fully understand this relationship.

A comprehensive understanding of emergence necessitates a multidisciplinary approach that integrates scientific, philosophical, and computational perspectives. By developing an integrated framework, analyzing case studies, modeling and simulating emergent phenomena, and exploring the ethical and social implications, we can advance our understanding of this fascinating concept. Moreover, fostering communication and collaboration between scientists, philosophers, and computer scientists is crucial. By learning from each other's disciplines, we can refine our theories, improve our methods, and ultimately, unravel the mysteries of emergence.

Fernando Rosas, Hardik Rajpal: Towards a formal understanding of emergence in biological systems (Michael Levin, November 2024)

Wednesday, November 6, 2024

[hcodetechnologies]

Discover the Top 10 AI Tools for Elevating Your Developer Skills in 2023! Are you looking to supercharge your productivity and efficiency as a developer in 2023? We've curated a list of essential AI tools that every developer should consider incorporating into their toolkit. Whether you're a seasoned pro or just starting your journey in software development, these AI-powered resources offer an excellent starting point for enhancing your skills.

[hazardouslibrarian]

i read this post. the wrong way