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Deep Neural Network in Machine Learning

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on models and inference instead. It is seen as a subset of artificial intelligence.

A good AI needs time to develop and training, aka machine learning process, and it usually takes a large amount of time and effort to analyze and tweak. A good machine learning protocol and infrastructure is ideal in order to shorten the time of development.

If you are interested in developing any form of automatic or semi-automatic smart appliance that is capable of making decisions based on previously trained behaviors from big data that is known as Artificial Intelligence, you need to train your AI. Thus, you need machine learning.

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Quantum Computing: 4 Things You Need to Know

The very computer you’re reading this on — desktop, laptop, tablet, or smartphone — is using bits to store information. That is, ones and zeroes. Quantum computers, on the other hand, use qubits, which can represent a one, a zero, or both a one and a zero at the same time. This means, they can make calculations faster — MUCH faster. Quantum computers can crack even the most secure government encryption keys, making them a security threat. But, they’re not so accessible, and will mostly be used for research and complex problem solving. They will, however, eventually make a splash in the enterprise world.

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Bitcoin and blockchain 101: Why the future will be decentralized | Big Think

Experts from across the spectrum of money and tech provide a history of commerce dating back tens of thousands of years, explain what blockchain and Bitcoin are and how they work, and offer insights into the differences between centralized and decentralized systems.

Because blockchain is incredibly difficult to hack, it has massive implications for elections, banking, shipping, land ownership—any domain where corruption is rampant. While the technology may feel abstract now, programmer Brian Behlendorf compares it to explaining the concept of email to people in 1993. One day, blockchain will be a seamless part of our lives.

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These Billion Dollar Companies Are Leading In Blockchain And Cryptocurrency In 2021 | Forbes

No longer dismissed as a haven for criminals and drug dealers, Bitcoin and blockchain have gone mainstream. Bitcoin’s 2020 surge grabbed the attention of C-suite executives worldwide; not only are companies employing the technology underlying Bitcoin to perform tasks such as reconciling invoices and verifying product provenance, but dozens are now holding Bitcoin as a treasury asset. Our third annual Blockchain 50 features companies that lead in employing distributed ledger technology and have revenue or a valuation of at least $1 billion. Twenty-one newcomers—including the world’s largest bank, the Industrial and Commercial Bank of China, and four others from Asia—make their debut. They take the spots of such U.S. companies as Facebook, Google, Amazon and Ripple, all of whom are still active in blockchain but kept lower profiles in the space over the past 12 months.

Up 300% in 2020, Bitcoin is suddenly getting respect in the C-suite. Here’s how PayPal, Square and the 48 other big companies on Forbes’ third annual Blockchain 50 are outpacing their competition using Bitcoin and the underlying blockchain.

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Spot’s Got an Arm!

Now that Spot has an arm in addition to legs and cameras, it can do mobile manipulation. It finds and picks up objects (trash), tidies up the living room, opens doors, operates switches and valves, tends the garden, and generally has fun. Motion of the hand, arm and body are automatically coordinated to simplify manipulation tasks and expand the arm’s workspace, making its reach essentially unbounded. The behavior shown here was programmed using a new API for mobile manipulation that supports autonomy and user applications, as well as a tablet that lets users do remote operations.

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14 Cool Apps Built Using GPT-3 Part IV

14 cool apps/use cases for GPT-3. Part 4.

Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series (and the successor to GPT-2) created by OpenAI, a San Francisco-based artificial intelligence research laboratory.

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