The blockchain and artificial intelligence (AI) are two cornerstones of the new computing movement. The blockchain offers a secure yet transparent way of handling big data. Moreover, the blockchain points the way toward a decentralized computing future, where power is held in the hands of the masses rather than a few ultra-powerful computing elites. AI, on the other hand, seeks to replace traditional human intervention or clumsy handwritten algorithms with smart coding that can learn and adapt from the information it collects. The synergy between these two powerful computing movements is turning out to be greater than the sum of its parts.
Artificial intelligence has fascinated the human imagination since the times this term started appearing in sci-fi books. Computer science is developing rapidly, and nowadays intelligent computers are no longer fiction -- they are the reality. Blockchain technology was first described in 2008 by an anonymous inventor of Bitcoin, Satoshi Nakamoto. Nobody knows anything about this person or group of people, and Mr. Nakamoto left the project in 2010. Yet, his (or their) brainchild is still alive and kicking, and is implemented in innovative projects all over the world.
This might be an interesting way to earn some digital income: Become a part of Skynet and help spread the gift of artificial intelligence (AI) to in-need businesses around the world, all with the help of blockchain technology. Yes, you read that right -- Skynet. But this is not the self-aware, AI-powered "creature" that nukes the humans in the "Terminator" film series before exploiting time travel to make sure its rather anti-social policies hold. This is the Skynet Project from a U.S.-based company called DeepBrain Chain, whose Chief AI Officer, Dongyan Wang, recently assured PYMNTS that its plans are designed to make it easier for other organizations to afford AI capabilities that could lead to better products related to payments and commerce. The company aims to decentralize AI enterprise computing, harnessing the power of idle computers and building a blockchain-based offering that, according to DeepBrain Chain, can lower costs for AI services by up to 70 percent.
The blockchain space is full of projects without a clear use case and clear value, but, as we'll see, there are also projects which are quite the opposite. Nebula-AI (NBAI) is creating a decentralized AI computing platform which will make AI DAPPS (which they call DAI Apps) a reality. The first product and demo that they released is Quant-AI: A cutting-edge trading price prediction tool. In this article, we'll dive into the specifics of this project and take a look at Quant AI and the broader concept of DAI Apps. Thanks to the use of GPUs and parallel computing for algorithms like machine learning (ML) AI has finally become widely viable.
The evolution of computing and cost efficiency has made commercial devices capable of running full-on operating systems and complex algorithms, right in the office. IoT platforms in 2018 are continuing to push for the fastest connectivity. That's of course where the concept of Edge Computing comes in, where workload is processed on the edge of the network where the IoT connects the Cloud with the physical world. A key part of this progression is the fast and effective integration between IoT and the Cloud, locating many of the processes onboard the devices themselves and connecting them with the Cloud for the most essential functions. As machine learning algorithms evolve and advance, there are a few things we can expect.
Welcome to the world of automated machine learning and artificial intelligence – AML-AI. Cryptocurrency is the vanguard of the world's financial market, with new technology created daily to give day traders a qualitative and quantitative edge in the market for greater returns. Although technology has been a helpful tool for sifting through large data for a more accurate market prediction, there is the need for a newer technology to decipher information quicker than the human capabilities. AI machine learning is the answer to the precincts of cryptocurrency as it is able to decipher big data through series of complex algorithms to make an instantaneous trade or sell decisions based on predefined rules. But the use cases of AI doesn't stop with trading, as matter of fact, that is just a very small of part of the greater picture.
As artificial intelligence (AI) technologies and platforms become integral to advanced operations in nearly every industry, blockchain is inserting itself as a means to enhance AI applications in both form and function. Blockchain has the potential to allow AI technologies to become more collaborative in nature and therefore increase their operating efficiency. Additionally, the potential for bolstered revenue streams is also apparent, as blockchain is projected to grow to $20 billion by 2024 according to Transparency Market Research and the Grand View Research projects the AI market will be worth more than $35 billion by 2025. As previously noted, leaders in the AI landscape are turning to blockchain to finetune various applications. Active tech companies in the markets this week include Gopher Protocol Inc. (OTC:GOPH), Overstock.com
The artificial intelligence market, though still in its infancy, is expected to be the primary driver for many technology companies in the next decade. Shifts in how artificial intelligence (AI) is applied to computing and how consumers will interact with it are moving the emphasis from the server room to the devices in our pockets, a change that could benefit mobile-first players like Qualcomm QCOM, 0.90% In the current vision of AI, computing is associated with the cloud, large clusters of servers computing constantly in data centers. This model is led by Nvidia NVDA, 0.30% a company that CEO Jensen Huang has deftly maneuvered into the pole position for large-scale machine learning. There are fast followers to watch, though, including both Intel INTC, 0.71% a stalwart in the data-center space, and Google GOOG, -0.25% building its own chips for AI processing. This need for server-based artificial intelligence won't be going away as it is responsible for training the complex models and data sets required for AI to be applied on consumer and commercial devices.
Enter Industry 4.0, where every sector matters. Welcome to Industry 4.0, the new age where smart technology and smart appliances are moving us closer and closer to a fully digitized society. Potentially valued at almost $4 trillion by 2020, studies show that businesses everywhere will be able to benefit by embracing the fourth industrial revolution. What is Industry 4.0 ("i4.0") Industry 4.0 is not a new technology, nor is it a new business structure.
Nvidia may be benefiting from what one analysts describes as a "tectonic shift" in computing and it shows: Every unit of the graphics processor's business is performing well. The company's fiscal first quarter results were strong and handily topped Wall Street expectations. Nvidia has been riding a strong data center wave as companies upgrade their GPUs for artificial intelligence and machine learning. The company's core gaming business is doing well due to a shortage of supply, higher prices and new releases such as Fortnite. And Nvidia is even benefiting from the trendiest of tech trends: Cryptocurrency.