Can we train an AI system to guide us about the importance and worth of recent innovations?

More Asifullah Khan's questions See All

In case of intrusion detection through Machine learning, how could one tackle the polymorphism aspect of a malware?

Detecting behaviour of a malware with polymorphism attribute.

05 June 2019 7,862 4 View

In case of light weight CNN architectures, Which strategy is best?

For limited hardware resources, which ones are best? Is it the CNN architectures based on depthwise convolution or any other concept?

04 May 2019 9,354 2 View

In Machine learning, is it necessary that the training and test distribution be the same?

What if the test distribution is a little different than the training distribution.

03 April 2019 5,063 12 View

Is it its possible that in future, each person has an adaptive AI System (like adaptive Deep NN) and wearable gadgets?

I think, its possible to have in future, an Adaptive AI System (like Adaptive Deep NN ) and wearable gadgets for each person. The Adaptive Deep NN will be smart enough to collect and analyse the...

04 May 2018 9,422 1 View

What is the best weight initialization strategy in Deep Convolutional Neural Notworks?

Setting initial parameters is quite important in many ML and specifically, in deep neural networks. Weights and biases are the parameters of a deep neural Network. So what is the best weight...

02 March 2018 7,954 4 View

Is ResNet a type of an ensemble Neural Network?

Resnet and other recent deep NN architectures seem to be Ensemble Neural Networks. Combiner/ MetaClassifiers

01 February 2018 9,192 1 View

How far we can go in bringing innovations in the architectures of Deep Convolutional Neural Networks ?

We have two basic aspects of Artificial Neural Networks; (a) Architecture and (b) Learning Strategy. How far we can go in bringing innovations in the Architectures of Deep Convolutional Neural...

31 December 2017 8,745 3 View

Is split,Transform, and Merge concept good for Recent Convolutional Neural Networks?

It is was proposed in Inception Architecture and is being exploited in recent CNN Architectures. Is it good in combination with depth of the architecture.

31 December 2017 7,637 1 View

What could be the strategies to avoid overfitting in deep neural Networks

Deep neural networks have high representational capacity and have gained much success in recent years. However, with the ability of high representational capacity, it can also suffer from...

05 June 2017 3,600 8 View

Is deep learning good for regression problems?

Is deep Learning ( deep neural networks, convolutional deep neural networks, etc.) good for regression problems?

01 February 2015 6,810 14 View

How to compare two groups with only two measurements?

Hiiiii everyone! I have an enquiry on statistical analysis. I was looking for many forum and it's still cannot solve my problem. I want to compare means of two groups of data but only with two...

03 March 2021 8,796 3 View

What are some of the research gaps in machine learning and artificial intelligence in africa?

i would to know some of the research gaps in the artificial intelligence field in most african countries.

03 March 2021 6,145 3 View

Enhanced Yellow Fluorescent Protein (Aequorea victoria) DNA sequence?

I am on the lookout for the Enhanced Yellow Fluorescent Protein (Aequorea victoria) DNA sequence. Does anyone know where I can find it? Thank you in advance

03 March 2021 3,568 1 View

What kind of fluid could I use for a pitfall trap that also does not invalidate molecular testing?

Hi, I want to start testing pitfall trap to obtain ants samples, but I need to conduct molecular analysis on those insects. So, what kind of fluid can I use? Ethanol expires too early and I need...

03 March 2021 5,978 5 View

What's the best way to measure growth rates in House sparrow chicks from day 2 to day 10?

What's the best way to measure growth rates in House sparrow chicks from day 2 to day 10? Since, the growth curve from day 2 to 10 won't be like the "Logistic curve" it might not follow logistic...

03 March 2021 1,401 3 View

Do we need to write protocol for a second study of a systematic review that has been registered and published?

I have conducted and published a systematic review and meta-analysis research with the topic related to public health and health pomotion (protocol was registed in PROSPERO). Now we want to...

03 March 2021 8,920 3 View

How to increase a model accuracy ?

dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to...

03 March 2021 6,994 5 View

Do I need to do linear regression before running mediation analysis using PROCESS MACRO by Hayes ?

I just wanted to check if I need to run a linear regression separately if I am using PROCESS MACRO to run mediation analysis. Thank you.

02 March 2021 4,359 3 View

Sample dilution for quantitative analysis using ELISA?

If the detection range is in ng/ml but the reference range is in ug/ml for a molecule or protein in serum or plasma .how to dilute and what is the initial volume to be taken for quantitative analysis

02 March 2021 7,670 3 View

Is There Any Feasible Method To Test Fluorescent Compounds Other Than Fluorescence Spectrometers ??

Is There Any Feasible Method To Test The Efficiency Of Fluorescent Compounds Other Than UV Spectrometers ? Suggestions Would Be Appreciated !

02 March 2021 5,785 3 View

Aqsa Kiran

Sir i guess it is possible but the question before the question is that do we have sufficient data available to train a predictive model? We need to have plenty of dominant record or supporting data related to innovation. In other case, we can use deep generative model to make common senses about what logical reasoning an AI system follows, that will help to train the classifier.

It is a naive idea from my side, i hope it make sense to you, thanks :)