5 Crypto Business Ideas That Will Make You Money Quick

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June 16, 2023

5 Crypto Business Ideas That Will Make You Money Quick — Image Credits: Entrepreneur

If there’s one thing we all aspire to in life, it’s to live comfortably. For this to happen, you’ll need money under your belt. While there are countless sectors and occupations you can go into to make big bucks, one that may be passing you by is cryptocurrency.

With more and more of us investing in crypto, it’s no surprise that many of us are looking for ways to get a slice of the pie. Thankfully, an array of crypto business ideas can make you money quickly and give you the lifestyle you truly deserve.

Crypto Hardware Business

While crypto is a digital product, there are plenty of physical products that can be developed around it. These include security keys, wallets, and USB drives. Before going any further, you need to ensure you’ve got a good idea in place for the product. If you’re creating a hardware-related product, knowing the laws and regulations of the country where your manufacturing facility will be housed is vital. If your products are linked to mining and crypto, it needs to be compliant with all the regulations laid out by SEC in the United States.

Crypto Tax Business

The tax code is a tricky system to navigate. When you throw crypto into the mix, it’s become harder to keep up with the changes. Numerous tax services are available online specifically designed for crypto investors and traders. These services aid crypto owners in filing their taxes quickly and seamlessly, allowing them to get back on track with their investments.

Crypto Trader

Crypto trading is a profitable and exciting sector with a reputation for higher returns when compared to other traditional investments. It must be noted that cryptocurrencies are incredibly volatile and their values can change within seconds. If this doesn’t put you off, you may want to stick to the obvious and acquire bitcoin. If you use Cash App, you can buy Bitcoin on it. Paxful has a guide on how to buy Bitcoin with Cash App. You can use their platform to gain more understanding of how Bitcoin works and whether it’s the right crypto for your business needs.

Build a Crypto App

For tech lovers who frequent the app stores, why not create your own crypto trading app? To build one, you’ll need specialist skills. These include agile methodologies, product management, and sound knowledge of QA and performance testing. Business owners can use your crypto app to boost the value of their services, bring in more customers, and boost the security of business processes.

Launch a Dropshipping Business

Dropshipping enables you to launch your own online eCommerce store without stockkeeping. Because of this, you won’t need huge capital. What’s more, there are minimal risks attached as the manufacturer is held accountable for the inventory and directly ships it to the customer. You can accept Bitcoin as a form of payment in your dropshipping business. This is a fantastic way to reach new audiences.

If you’ve got an entrepreneurial mindset and want to dive into the crypto stratosphere, there are plenty of business ideas and opportunities you can make use of that could see you earn hefty profits. With a bit of knowledge, determination, and elbow grease, you can soon be on the path to launching and retaining a successful crypto enterprise.

IIIT-Hyderabad Offers Online Course on Fundamentals of Contemporary Machine Learning

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Sahil Pawar

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June 15, 2023

IIIT-Hyderabad online course fundamentals contemporary machine learning — Image Credits: IIIT-Hyderabad

Applications are now being accepted for the online course on the Fundamentals of Contemporary Machine Learning for undergraduate engineering students, which is offered by iHub-Data at the IIIT Hyderabad. In August 2023, the 50-week course will get underway. The course is specifically intended for second- or third-year undergraduate engineering students enrolled in India’s four-year B.Tech programme.

Introduction to ML, Revisiting Nearest Neighbor Classification, Decision Trees, Linear Classifier, SVM, Perceptrons and gradient descent, Loss functions and gradient descent, Regression, Clustering, Probabilistic ML models, and Deep Learning Architectures are some of the topics covered. The last date to apply is June 30. Participants need to pay a registration fee of Rs. 500/-.

Students pursuing a 4-year UG program in engineering/technology and in their second or third year are eligible. Students should be studying in an AICTE recognised institution or a technical institution of repute in India. All program courses are taught in English. Hence, a minimum proficiency in English language is expected to participate in the program.

Students who wish to develop their abilities to recognise and address problems in the real world utilizing the most recent machine learning tools and methodologies are the program’s target audience. The live and interactive seminars would be led by a group that includes CK Raju and Monalisa Patra from iHub-Data and teachers from IIIT Hyderabad.

The advantages of an in-person programme and the flexibility of online study are uniquely combined in this programme. Participants, with recorded classes, have the freedom to learn at their own speed. They can clarify their doubts and questions through live discussions with the instructors and mentors.

To get the most out of the programme, participants must dedicate at least two hours every week. This will also apply to the time spent learning and completing homework as well as the online sessions. Participants would be continually assessed as part of a comprehensive approach. Exams, assignments, group projects, and attendance would all be utilized to gauge performance.

Truecaller Launches AI-powered Call Recording and Transcription for Android and iOS

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Sahil Pawar

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June 15, 2023

Truecaller AI-powered call recording transcription — Image Credits: Truecaller

For its 350 million active users on both iPhone and Android, Truecaller has recently released its AI-powered call recording feature. In the upcoming months, it will begin to roll out in the US and progressively spread to other regions of the globe. Truecaller now stands out from competitors in this market as a result of its AI-powered features.

iPhone enthusiasts in the US, get ready for a treat! Unleash your recording superhero with our latest update. 📲

Android fans, stay tuned! Call Recording is coming soon to your devices. More countries to follow as well.#Truecaller #DoMoreWithTruecaller pic.twitter.com/8dFwDgWPSS
— Truecaller (@Truecaller) June 15, 2023

The new function delivers high-definition recordings of both sides of every call, converts call recordings into text that is simple to read, and summarizes transcriptions of each call recording. Each transcription will come with a short subject line which simplifies accurately searching within the transcriptions using Large Language Model (LLM) technology. This will eliminate the need to trawl through hours of recordings in search of a particular piece of information.

Users of Call Recorder can record individual incoming and outgoing calls, retaining every detail while preventing spam calls. On its user-friendly platform, users may manage recordings easily by listening to, renaming, sharing, or deleting them.

Users can concentrate on discussions without worrying about taking notes, which boosts productivity. In order to prevent data loss, iPhone users will be able to store a backup of all recordings in their iCloud storage. Users of Android devices can backup their recordings to Google Drive.

“The decision to launch the Truecaller Call recording feature is inspired by advancements in Language Learning Models (LLMs) that aim to redefine the call recording experience,” said Raphael Mimoun, Cloud Telephony Product Director at Truecaller.

In reference to the new feature, he said, “With the help of intelligent search and call summaries, our new feature makes it simple and quick to access and use recordings. We are interested in how it will fundamentally alter the way our users manage their calls, record, retrieve, and use conversations.”

Meta Launches AI Model MusicGen to Create Music from Text Descriptions

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Sahil Pawar

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June 15, 2023

Meta launches AI model MusicGen — Image Credits: Meta

MusicGen is a revolutionary open-source deep-learning language model created by Meta‘s Audiocraft research team that can create original music based on text prompts. MusicGen works similarly to ChatGPT, but for audio. Users can specify the sort of music they want, choose whether or not to include an existing tune, and then click “Generate” to watch the magic happen.

Based on the given text prompts and tune, MusicGen generates an original and succinct musical piece after a brief processing period, a little under 3 minutes. Users have the chance to specify their preferred music style using a range of examples when using MusicGen in Hugging Face.

Users can use the promt “an 80s pop song with heavy drums and synth pads in the background.” Then, using settings that let them designate a specific section of the track, users can “condition” MusicGen using a chosen song fragment, up to 30 seconds in length. The “Generate” option on MusicGen makes it easy to create a high-quality of up to 12-second-long musical sample.

The research team used 20,000 hours of authorized music to train the MusicGen model. 10,000 excellent music tracks from an internal collection as well as songs from well-known sites like Shutterstock and Pond5 made up this large dataset.

The team used Meta’s 32KHz EnCodec audio tokenizer to generate smaller music pieces that could be processed simultaneously in order to maximize performance. Ahsen Khaliq, a Hugging Face ML Engineer, noted that MusicGen differs from other models in that it just needs 50 auto-regressive steps per second of audio and doesn’t call for a self-supervised semantic representation.

Lenovo to Invest $1 Billion to Advance AI Infra Solutions Over Three Years

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Sahil Pawar

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June 15, 2023

Lenovo to invest $1 billion to advance AI over three years — Image Credits: Lenovo

Lenovo announced plans to invest $1 billion over three years in the growth of infrastructure solutions to expedite the adoption of artificial intelligence (AI) for businesses around the world. This announcement comes after Accenture’s announcement of a $3 billion investment in AI.

The company’s industry-leading portfolio of smart devices, infrastructure solutions, and services that are AI-ready will be expanded as a result of this announcement, which represents Lenovo’s largest-ever investment in AI infrastructure. This will help accelerate innovation by enabling the use of generative AI and delivering cognitive decisions at scale throughout remote locations across financial, manufacturing, healthcare, retail, and smart city applications.

The Lenovo AI Innovators programme will be expanded with an additional US $100 million contribution as part of Lenovo’s investment plan. In its end-to-end ecosystem, the programme has already delivered a record 150+ AI-ready products developed with 45 top ISV partners.

After reporting record revenue of over $2 billion, increased digitalization, and increased demand for IT infrastructure upgrades, the company made the announcement. “Lenovo is concentrating on streamlining the challenging implementation of new AI capabilities by delivering AI to the source of data and utilizing its extensive network of best-in-class partners to create cutting-edge turnkey solutions enabling edge intelligence,” the company said.

The company claimed the bigger investment is intended to enable an AI ecosystem across all markets worldwide and create access for organizations of all sizes and all markets, including India. However, the company did not indicate what proportion of this investment will go to India.

Happiest Minds to Hire 1,300 Employees in Biggest Hiring Spree Due to AI Demand

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Sahil Pawar

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June 15, 2023

Happiest Minds to hire 1,300 employees AI demand — Image Credits: Happiest Minds

It will be the IT company’s largest personnel expansion effort ever as Happiest Mind Technologies plans to add 1,300 more employees to its current 5,000-person workforce. In order to support the company’s endeavor to create custom artificial intelligence bots, the biggest personnel expansion will see the hiring of over 1000 software developers.

Joseph Anantharaju, a co-founder of Happiest Minds Technologies Ltd, stated in an interview that the company is expanding its artificial intelligence business to serve customers in industries like education and healthcare who want to take advantage of the emerging technology. According to the sources, Microsoft Corporation, a supporter of OpenAI, and Happiest Minds Technologies are in discussions for a cooperation to improve access to ChatGPT.

Anantharaju stated in the interview that Happiest Minds wants to get a competitive advantage over its rivals in the information technology sector. Anantharaju said, “Clients want to make the best use of ChatGPT. We have begun showing our clients these add-on features.”

Happiest Minds Technologies makes revenue by assisting businesses in digitizing their services; just a small amount of their sales revenue comes from AI. Ananatharaju claims that despite this, it is still the12-year-old company’s one of the fastest-growing areas.

Ashok Soota, a pioneer in the tech sector who has run three outsourcing businesses, was a co-founder of Happiest Minds. Since its first public offering in September 2020, the shares have increased by more than five times.

Meta Releases I-JEPA, A New ‘Human-like’ AI Image Creation Model

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Sahil Pawar

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June 15, 2023

Meta releases I-JEPA — Image Credits: Stock Images

A new “human-like” artificial intelligence model I-JEPA, according to Meta Platforms, will be made available to researchers that will be able to analyze and complete incomplete images more precisely than current models.

Instead of focusing exclusively on surrounding pixels like previous generative AI models, the model, called I-JEPA, fills in empty portions of images using background knowledge about the outside world, the company claimed.

According to Meta, this method integrates the kind of thinking that prominent AI researcher Yann LeCun has argued is more like that of humans and helps the technology avoid mistakes that are typical of AI-generated images, like hands with additional fingers.

I-JEPA allows for a wide range of applications without requiring a lot of fine-tuning. Within 72 hours, Meta AI had successfully trained a visual transformer model with 632M parameters using 16 A100 GPUs.

With just 12 labeled instances per class, this model achieves state-of-the-art performance for low-shot classification on ImageNet. When trained with an equal dataset size, alternative algorithms frequently use two to ten times the GPU-hours and produce more error rates.

The world model is a new architecture that Yann LeCun, chief AI scientist at Meta, developed last year to solve the major limits that modern AI systems confront. LeCun envisions the creation of machines with the ability to quickly build up internal models of the dynamics of the outside world, enabling them to learn quickly, plan ahead for complex tasks, and quickly adjust to changing conditions.

AMD Announces MI300X, its Most Advanced GPU for AI

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Sahil Pawar

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June 14, 2023

The MI300X, AMD‘s most advanced GPU for AI, was announced on Tuesday. According to analysts, AMD’s launch poses the most significant threat to Nvidia, which now holds a market share of more than 80% for AI chips.

According to AMD, its new MI300X CPU and CDNA architecture were created for advanced AI models and large language models. The MI300X can fit even larger AI models than other chips because it can take up to 192GB of memory. For instance, the H100, a rival to Nvidia, only supports 120GB of RAM.

Because they perform an increasing number of calculations, large language models for generative AI applications consume a lot of memory. The Falcon model, which has 40 billion parameters, was demonstrated by AMD on the MI300x.

Additionally, AMD said that it would provide an Infinity Architecture that integrates eight of its M1300X accelerators into a single unit. For AI applications, Nvidia and Google have created comparable systems that pack eight or more GPUs into a single box.

AI programmers have historically favored Nvidia chips because they have access to the chip’s essential hardware characteristics through a well-developed software package called CUDA. On Tuesday, AMD claimed to have its own software, dubbed ROCm, for its AI chips.

AMD did not provide a pricing, but the move may put pressure on the cost of Nvidia GPUs like the H100, which may cost up to $30,000. The MI300X will be ready for sample this fall, but larger shipments won’t begin until next year, AMD CEO Lisa Su stated on an earnings call last month.

Microsoft AI Introduces A 13-Billion Parameter Model Orca

By

Sahil Pawar

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June 14, 2023

Orca, a 13 billion parameter model that learns step-by-step thought processes and complex explanation traces from GPT-4, has been introduced by a team of Microsoft researchers. The performance of current state-of-the-art instruction-tuned models is greatly enhanced by this novel method, which also addresses issues with task diversity, query complexity, and data scaling.

The researchers agree that the GPT-4 query and response pairs can offer helpful guidance for student models. Therefore, researchers enhance these pairs by adding detailed responses that offer a better understanding of the reasoning process employed by the teachers when generating their responses. Orca bridges this gap by adding the explanation traces and giving student models better reasoning and understanding abilities.

The Flan 2022 Collection is used by the research team to further improve Orca’s learning. The team chooses tasks at random from this large library to ensure a variety of challenges. These activities are subsequently subsampled to provide intricate prompts that act as LFM questions. With the help of this method, the Orca develops a diversified and extensive training set that allows strong learning and equips it to do a variety of tasks with ease.

To evaluate Orca’s capabilities, the researchers perform thorough tests with a focus on its generative, reasoning, and comprehension skills. They assess Orca’s performance in comparison to reliable benchmarks like Text-Davinci-003, ChatGPT, GPT-4, and Vicuna.

The findings, which show an improvement of over 100% on BigBench Hard (BBH), highlight Orca’s supremacy over cutting-edge instruction-tuned models like Vicuna-13B. Additionally, in zero-shot environments, Orca displays competitive performance on academic exams, demonstrating its potential for real-world applications.

The study’s findings support the idea that the tremendous potential of learning from step-by-step explanations in enhancing model performance. Orca makes substantial progress in instruction-tuned models by including thorough explanation traces and scaling challenges with complex prompts. This strategy not only helps student models to outperform current benchmarks but also empowers them to improve their reasoning and comprehension capabilities.

Accenture to Invest $3 Billion in AI to Accelerate Client Growth

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Sahil Pawar

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June 14, 2023

Accenture to Invest $3 Billion in AI — Image Credits: Accenture

In order to assist clients across all industries progress and apply AI ethically to achieve more growth, efficiency, and resilience, Accenture has announced a $3 billion investment over three years in its Data & AI practice.

Accenture will make investments in assets, business solutions, ventures, talent acquisitions, ecosystem partnerships, and human resources in order to deepen and expand its skills and capabilities in the areas of diagnostic, predictive, and generative AI. 80,000 AI professionals will be added to the Data & AI practice through a combination of hiring, acquisitions, and training.

A generative AI-based platform called the new AI Navigator for Enterprise will assist clients in defining business cases, making decisions, navigating AI journeys, selecting architectures, and comprehending algorithms and models in order to responsibly deliver value. The platform will feature resources intended to speed up responsible AI practices and compliance programmes, building on Accenture’s own work.

Accenture will develop pre-built industry and functional models that make use of new generative AI capabilities, as well as accelerators for data and AI readiness across 19 different industries.

Its Centre for Advanced AI is committed to maximizing the value of this technology across clients and inside Accenture in order to develop the uses of generative AI. This entails significant R&D efforts and financial commitments to rethink service delivery utilizing generative and other cutting-edge AI capabilities.

To redefine the kind of work delivered to clients, Accenture will invest in both new and current relationships across its leading cloud, data, and AI ecosystems. For instance, designers might improve prototyping by leveraging pre-built models, or creators can build dynamic virtual worlds that can change in response to changes in the outside world.