- BFT Algorithms
- Chatbots & Voicebots
- Computer Vision
- Data Science
- Decentralised AI
- Deep Learning
- Economic Protocols
- Interoperability Protocols
- Layer 2 Scaling
- Machine Learning
- Natural Language Processing
- Offchain & Sidechain Protocols
- Proof of Authority
- Proof of Stake
- Proof of Work
- Scalability Protocols
Have you ever wondered what new transformation to bring to the world by Blockchain and IoT? Well, it is incredible to see that a...
Consensus 2019 was enormous and these are the five principle trends that you can see from the talks that occurred at the occasion, which kept going three days from May 13...
Open blockchain platform provider ThunderCore has quite recently released proof-of-concept code for another consensus convention, named Pala, on GitHub. As per Elaine Shi, chief scientist for ThunderCore, the work speaks to "a...
Proof of elapsed time (POET) is a blockchain network consensus mechanism algorithm that prevents high resource utilization and high energy consumption and keeps the process increasingly effective by following a fair...
Constants, Placeholder, and Variables In TensorFlow, constants, placeholders, and factors are utilized to speak to various parameters of a profound learning model. Since we have just observed constants before, we will begin...
Deep learning is a subfield of AI that is, a lot of calculations that are propelled by the structure and capacity of the cerebrum. AI is an unpredictable order. However, actualizing AI...
Use of measurements A measurement is a capacity that is utilized to pass judgment on the presentation of your model. Metric capacities are to be provided in the measurements parameter when a...
continued from previous article. logcosh keras.losses.logcosh(y_true, y_pred) Logarithm of the hyperbolic cosine of the expectation blunder. log(cosh(x)) is roughly equivalent to (x ** 2)/2 for little x and to abs(x) - log(2) for huge x....
Utilization of loss functions A loss capacity (or target capacity, or advancement score work) is one of the two parameters required to incorporate a model: model.compile(loss='mean_squared_error', optimizer='sgd') from keras import losses model.compile(loss=losses.mean_squared_error, optimizer='sgd') You can either...
Introduction Algorand consists of three main procedures: Cryptographic Sortition (leader election + Sybil protection) Algorand Agreement (consensus) Common Coin (recovery from network partitions) Algorand uses lotteries known as “cryptographic sortition” to select voting...
The execution of BA consists of two phases. In the first phase, BA reduces the problem of agreeing on a block to agreement on one of two options. In the second...
Algorand can confirm transactions on the order of one minute whereas Bitcoin takes on the order of one hour and has a negligible probability of forking, and achieves 125x the transaction...
After he proposes a brand new block, the leader would possibly yet “die”, as a result of his job is completed. But, for the veriﬁers in SV r, things square measure less straightforward. Indeed, being guilty of certifying the new block Br with suﬃciently several signatures, they...
Have you ever wondered what new transformation to bring to the world by Blockchain and IoT? Well, it is incredible to see that a few revolutionary changes are brought about by...