Answer:
#here is code in python.
#read number of shares
num_share = int(input("Enter number of shares:"))
#read purchase price
buy_p = float(input("Enter purchase price:"))
#read sell price
sell_p = float(input("Enter sale price:"))
#total buying cost
buy_cost=buy_p*1.03*num_share
#total selling cost
sell_cost=sell_p*0.97*num_share
#if net profit
if(sell_cost>buy_cost):
print("After the transaction, you made " +str(sell_cost-buy_cost)+ " dollars.")
#if net loss
else:
print("After the transaction, you lost " +str(buy_cost-sell_cost)+ " dollars.")
Explanation:
Read the total number of shares from user.Then read buying price of a share and selling price of a share.Then calculate total buying cost including commission.Calculate total selling cost excluding the commission.If total buying cost is greater than total selling cost the print the profit else print the loss in the transaction.
Output:
Enter number of shares:10
Enter purchase price:10
Enter sale price:10
After the transaction, you lost 6.0 dollars.
Answer:
A neuromorphic computer is a machine comprising many simple processors / memory structures (e.g. neurons and synapses) communicating using simple messages (e.g. spikes). ... Neuromorphic computing systems excel at computing complex dynamics using a small set of computational primitives (neurons, synapses, spikes).
Explanation:
The structure of neuromorphic computers makes them much more efficient at training and running neural networks. They can run AI models at a faster speed than equivalent CPUs and GPUs while consuming less power. This is important since power consumption is already one of AI's essential challenges.
