Marketing Scoops: code

Credit to: arminhamidian

The power of AI brings many great innovations and creations. A technology that makes work more efficient, and easier. This can be easily seen through the recent explosion of ChatGPT. One is not surprised at the intelligence of the applied technology, but what is surprising is that it is the same technology but with higher techniques, making ordinary chatbots incomparable to keep up with it. ChatGPT helps to create professional-looking content on a variety of topics in a short time. ChatGPT helps people search images with text or even write a simple math problem.

BrainBox is the world’s first app that allows you to unleash the power of AI & launch your very own “ChatGPT-like” intelligent chatbot that can perform a wide variety of tasks! You’re just 4 clicks away from making use of the full AI power without any limits or restrictions, access 50 mind-blowing AI features to stun you and your customers. With just one click, you can create & launch your very own “ChatGPT-like” AI Chatbot with your unique branding and style! And people will line up to happily pay you for using it.

Just with a click, BrainBox will put your “ChatGPT-like” AI Chatbot search engine website in front of millions of customers. They all are desperately waiting to get access to your Chatbot website. All you have to do is to add your payment link. Forget hiring expensive translators or using sketchy apps to translate your content. There is a new way, and that new way is BrainBox. With the AI-powered NLP capabilities, BrainBox allows you to ask a question or execute commands in one language and receive a translation in over 55 different languages.

Studying programming is old news. Now, all you have to do is explain to BrainBox what you want to script. Within seconds it will spit out bug-free code in any language. It can also explain complex code & translate from one programming language to another without paying considerable fees to developers. You can now easily forget about all the hassles of designers. And overpaying for simple designs. BrainBox will let you do it all easily with just one command. Instantly turn text or keywords into stunning images and art in different sizes & quality. No more paying huge fees to designers.

The AI-powered image-to-video conversion tool, with just one click, instantly turns a series of still images into high-quality animation videos. No more wasting time on complex animation software or tedious video editing. Stunning images are the way to go to market your brand. But creating them is not that easy. BrainBox comes with a built-in easy-to-use AI editor that allows you to enhance, manipulate or modify images without losing quality. Say goodbye to the hassle of paying for expensive graphic designers or struggling with complex software that produces mediocre results.

Turn one design into dozens of creative new designs. Just upload a design you like and BrainBox will generate endless variations from it. Love making research or want to generate long content, articles, or eBook? Convert your conversation with the BrainBox Chatbot into easy-to-read PDFs and eBooks for later use. All the features in the world won’t matter if you can’t make money with them, right? Monetize your ChatGPT-like bot search engine by integrating ads and earning revenue from visitors who use your site to search. Get paid for providing valuable search results.

Polish your writing with the AI-powered Grammar Correction tool! BrainBox uses advanced natural language processing and machine learning algorithms to analyze your writing and eliminate grammar errors, punctuation, spelling, and more. Ranking in Google has never been easier. Fire your SEO specialist now and save thousands because BrainBox will do it all for you. Boost your SEO strategy with the AI-powered Keywords Generator! Our tool uses advanced algorithms to generate a list of relevant and high-traffic keywords tailored to your niche, ensuring that your website or content is easily discoverable by search engines.

Spreadsheets are an essential part of any business. But it’s hard and complicated. Transform your data into stunning visualizations with our AI-powered SpreadSheet Creator. The tool uses advanced analytics and visualization techniques to turn complex data sets into easy-to-understand graphs and charts, saving you time and increasing productivity. Create winning product names effortlessly with our AI-powered Product Name Generator! BrainBox generates catchy and memorable product names and perfect product descriptions that resonate with your target audience. Elevate your branding game and stand out from the competition.

Elevate your customer support game with the AI-powered Customer Support Chat! BrainBox provides real-time assistance to customers, answering questions, resolving issues, and providing suggestions. Improve customer satisfaction and boost productivity with the Customer Support Chat. Simplify the interview process with the AI-powered Interview Questions Generator. BrainBox generates relevant and thought-provoking interview questions that help you identify the best candidates and increase your productivity.

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“A lot of folks think about, ‘Oh, don’t bother studying computer science or the coding is dead,’ and I just fundamentally disagree,” Chennapragada, the tech giant’s chief product officer of experiences and devices, said on “Lenny’s Podcast.””If anything, I think we’ve always had higher and higher layers of abstraction in programming,” she added……..Continue reading….

By Sarah Perkel

Source: Business Insider

Critics:

Coding theory is the study of the properties of codes and their respective fitness for specific applications. Codes are used for data compression, cryptography, error detection and correction, data transmission and data storage. Codes are studied by various scientific disciplines such as information theory, electrical engineering, mathematics, linguistics, and computer science for the purpose of designing efficient and reliable data transmission methods.

This typically involves the removal of redundancy and the correction or detection of errors in the transmitted data. There are four types of coding:

Data compression (or source coding)
Error control (or channel coding)
Cryptographic coding
Line coding

Data compression attempts to remove unwanted redundancy from the data from a source in order to transmit it more efficiently. For example, ZIP data compression makes data files smaller, for purposes such as to reduce Internet traffic. Data compression and error correction may be studied in combination.

Error correction adds useful redundancy to the data from a source to make the transmission more robust to disturbances present on the transmission channel. The ordinary user may not be aware of many applications using error correction. A typical music compact disc (CD) uses the Reed–Solomon code to correct for scratches and dust. In this application the transmission channel is the CD itself.

Cell phones also use coding techniques to correct for the fading and noise of high frequency radio transmission. Data modems, telephone transmissions, and the NASA Deep Space Network all employ channel coding techniques to get the bits through, for example the turbo code and LDPC codes.

In 1948, Claude Shannon published “A Mathematical Theory of Communication“, an article in two parts in the July and October issues of the Bell System Technical Journal. This work focuses on the problem of how best to encode the information a sender wants to transmit. In this fundamental work he used tools in probability theory, developed by Norbert Wiener, which were in their nascent stages of being applied to communication theory at that time.

Shannon developed information entropy as a measure for the uncertainty in a message while essentially inventing the field of information theory. The binary Golay code was developed in 1949. It is an error-correcting code capable of correcting up to three errors in each 24-bit word, and detecting a fourth.

Richard Hamming won the Turing Award in 1968 for his work at Bell Labs in numerical methods, automatic coding systems, and error-detecting and error-correcting codes. He invented the concepts known as Hamming codes, Hamming windows, Hamming numbers, and Hamming distance.

In 1972, Nasir Ahmed proposed the discrete cosine transform (DCT), which he developed with T. Natarajan and K. R. Rao in 1973. The DCT is the most widely used lossy compression algorithm, the basis for multimedia formats such as JPEG, MPEG and MP3. Cryptography or cryptographic coding is the practice and study of techniques for secure communication in the presence of third parties (called adversaries).

More generally, it is about constructing and analyzing protocols that block adversaries; various aspects in information security such as data confidentiality, data integrity, authentication, and non-repudiation are central to modern cryptography. Modern cryptography exists at the intersection of the disciplines of mathematics, computer science, and electrical engineering.

Applications of cryptography include ATM cards, computer passwords, and electronic commerce. Cryptography prior to the modern age was effectively synonymous with encryption, the conversion of information from a readable state to apparent nonsense.

The originator of an encrypted message shared the decoding technique needed to recover the original information only with intended recipients, thereby precluding unwanted persons from doing the same. Since World War I and the advent of the computer, the methods used to carry out cryptology have become increasingly complex and its application more widespread.

Modern cryptography is heavily based on mathematical theory and computer science practice; cryptographic algorithms are designed around computational hardness assumptions, making such algorithms hard to break in practice by any adversary. It is theoretically possible to break such a system, but it is infeasible to do so by any known practical means.

These schemes are therefore termed computationally secure; theoretical advances, e.g., improvements in integer factorization algorithms, and faster computing technology require these solutions to be continually adapted. There exist information-theoretically secure schemes that provably cannot be broken even with unlimited computing power—an example is the one-time pad—but these schemes are more difficult to implement than the best theoretically breakable but computationally secure mechanisms.

Another concern of coding theory is designing codes that help synchronization. A code may be designed so that a phase shift can be easily detected and corrected and that multiple signals can be sent on the same channel. Another application of codes, used in some mobile phone systems, is code-division multiple access (CDMA). Each phone is assigned a code sequence that is approximately uncorrelated with the codes of other phones.

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