In STEM fields it is often required to communicate ideas using graphs or infographics. Many times the dimensionality of data will be higher and require clever hacks to represent so that the reader gets the idea quickly. There have been systematic studies on how to do data visualization effectively. For data scientists or machine learning …
Python Matplotlib Tip: Overlapping Curves and Multiple Axes Read More »
The culture and growth of scientific research in various domains are interesting to observe. For many decades traditional scientific research has been accessible or done in academia or research institutes. Each decade or century witnessed various sciences rising to the limelight. Once it was physical sciences, then it was biological science, the age of computers, …
Dream for a computer storage device which performs as fast as static RAM (SRAM), delivers the cost effectiveness of dynamic RAM (DRAM), promises the non-volatility of flash memory, combined with added benefits of longevity, denser storage, durability and stability. Let’s discuss whether spin transfer torque based Random access Memory (STT-RAM) devices can help to realize …
Spin Transfer Torque based Magnetic Memory Devices Read More »
The field of information theory defines entropy as a measure of average information a random variable takes. As we know the random variable is one whose possible outcome states are not deterministic. We cannot predict its behavior exactly in an analytical form. In such cases, we can only look at the patterns of its outcome …
This article is a tutorial on the algorithm called active Learning with uncertainty Sampling. Introduction Availability of mass quantities of digital data and feasible computing power brought to the creation of learning algorithms. These learning algorithms have been benchmarked to perform specialized tasks such as classification, object detection, image segmentation, etc. The key assumption here …
Active Learning with Uncertainty Sampling from Scratch Read More »
This article is a review of active learning which is a subfield of machine learning Introduction The field of Machine Learning (ML) broadly deals with giving computers the ability to do tasks like humans. We are seeing a human-level performance in specialized tasks such as speech recognition, image recognition, etc. Many sub-fields of ML are …
The topic I wish to talk in this post is about Mathematical maturity. It is connected to the abstract nature of mathematics and humans’ endeavor to cope with it. Let me start by asking you a question. Have you ever seen a circle in real-life?. You might say yes because we all draw many in …
Why does it need to look for an alternate cooling technology? Cooling appliances based on thermodynamic cycle till 1995 used to produce many toxic components Chloroflurocarbon CFC), Hydrochloroflurocarbon (HCFC), potent greenhouse gases (GHG) and other ozone depleting substances (ODC). After gradual prohibition of such gases, the cooling appliances till date producing HFCs which have no …
What calls for an advanced technology based on electron spin? Electronics use the property of electrons called charge to encode information. One way computers store information is by using RAM. RAM is comprised of billions of capacitors and to store information computer sends a large number of electrons which are absorbed by the capacitor plate …
The Center for Brains, Minds and Machines (CBMM) is a premier institute and NSF Science and Technology Center dedicated to the study of intelligence. The website and Youtube channel of the institute contains a good number of tutorials and educational materials that help anyone interested in topics related to neuroscience, machine intelligence, etc. One of …
RL Tutorial from Center for Brains Minds and Machines Read More »