Artificial Intelligence (AI) development is taking up more and more computing power. DeepBrain Chain has a novel solution to help AI development power ahead. DeepBrain Chain is leveraging the power of blockchain to take advantage of unused processing power for AI development.
AI growth is limited partially by the availability of affordable computing power. The DeepBrain Chain could drastically reduce the price of computing power, and allow AI algos to advance at lower costs. DeepBrain Chain’s AI Training Net went live this week. The AI Training Net is a precursor to their full platform, which will benefit from the AI algos that are deployed on the AI Training Net.
AI development has become more popular over the last few years. Algos like Amazon’s Alexa are entering mainstream consumer culture. People are getting used to having AI assistants, and using AI for numerous daily activities.
There are probably going to be more algos that will enter the consumer space, and they could help people with everything from language translation to saving energy at home. DBC tokens can be used to purchase processing power on the AI Training Net, which will also be how their full platform monetizes computing power.
DeepBrain Chain Grows AI Capabilities
DeepBrain Chain already has numerous AI and Machine-Learning (ML) programs running on its AI Training Net. Algos that specialize in Natural Language Processing, driverless cars, medical imaging, and voice recognition are reportedly using the AI Training Net. DeepBrain Chain’s platform offers optimized operations on top of CUDA GPUs to support popular deep-learning frameworks, like TensorFlow, CNTK and Caffe.
Read: Artificial Intelligence (AI) & Blockchain: Thinking Our Way to a Brighter Future?
In addition to creating a platform that helps others to develop AI and ML algos, DeepBrain Chain is working to implement an AI system that would work with smart-grid technology to cut waste. The company recently made an investment in EtainPower to further this goal. EtainPower is developing a system that would allow straightforward peer-to-peer trading of electricity via smart-contracts.
EtainPower’s platform is still in its early stages, but they join numerous other companies that see the potential for blockchain to cut energy waste. The University of Fudan just announced the patent of a system that works towards the same goal, and Walmart has also patented a competing technology. All three systems approach the goal in different ways, but all rely on the transactional efficiency that blockchain brings to micro-payments and record keeping.
The full potential of smart-grid technology will probably only be realized with a highly efficient settlement system, like blockchain. Elevated transactional costs represent inefficiency, and AI can help to best use electricity if it isn’t hindered by an outdated financial system.
AI Has Massive Potential in Energy
There are overlaps in energy and finance which are important to consider. When energy is wasted, there is an amount of financial waste that will happen as well. AI and smart-grid technology can help both consumers and businesses eliminate wasted power, which has the potential to radically change how electrical systems are designed.
It would be next to impossible for a human planner to monitor millions of separate electrical devices, but AI can handle big data easily. That is probably why major corporations like Walmart are looking at blockchain-based micro-payment systems, and working to roll out a platform that would allow a level of oversight that wasn’t possible before.
DeepBrain Chain has the potential to help smaller companies and universities develop AI and ML platforms that wouldn’t be able to access a development space otherwise. DeepBrain Chain raised more than $11 million USD late last year, and is working on distributing tokens to universities and other research institutions.
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