[R] Breakthrough Neuron-Mimicking Nanoscale Electronic Circuit Element for Neuromorphic AI Computer Science

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• [R] Breakthrough Neuron-Mimicking Nanoscale Electronic Circuit Element for Neuromorphic AI
• Learn Python & Ethical Hacking From Scratch. Start from 0 & learn both topics simultaneously from scratch by writing 20+ hacking programs - Medium Article
• Thesis Suggestion in Deep Learning
• Download Statistics Sample
• Download Programming Sample
• Free October 14 Talk with Moshe Vardi on Lessons from COVID-19: Efficiency vs. Resilience
• What numbers can fractional binary notation represent?
• Is the exponent value in floating point number encoded by ones' complement method?
• Is programming still a valuable skill?

[R] Breakthrough Neuron-Mimicking Nanoscale Electronic Circuit Element for Neuromorphic AI Posted: 07 Oct 2020 03:25 PM PDT In a paper recently published in Nature, researchers Suhas Kumar of Hewlett Packard Laboratories, R. Stanley Williams with Texas A&M University, and the late Stanford PhD student Ziwen Wang introduce an isolated nanoscale electronic circuit element that can perform nonmonotonic operations and transistorless all-analogue computations. With input voltages, it can output not just simple spikes but a whole array of neural activity such as bursts of spikes, self-sustained oscillations, and other brain activities. Here is a quick read: Breakthrough Neuron-Mimicking Nanoscale Electronic Circuit Element for Neuromorphic AI submitted by /u/Yuqing7 [link] [comments]

Learn Python & Ethical Hacking From Scratch. Start from 0 & learn both topics simultaneously from scratch by writing 20+ hacking programs - Medium Article Posted: 08 Oct 2020 01:50 AM PDT submitted by /u/microcontroller_tuto [link] [comments]

Thesis Suggestion in Deep Learning Posted: 08 Oct 2020 12:43 AM PDT Please suggest me some thesis ideas in the domain of deep learning. submitted by /u/ali-nawaz14 [link] [comments]

Download Statistics Sample Posted: 07 Oct 2020 11:10 PM PDT submitted by /u/codeavail_expert [link] [comments]

Download Programming Sample Posted: 07 Oct 2020 10:02 PM PDT submitted by /u/codeavail_expert [link] [comments]

Free October 14 Talk with Moshe Vardi on Lessons from COVID-19: Efficiency vs. Resilience Posted: 07 Oct 2020 01:16 PM PDT October 14, join Moshe Y. Vardi Professor of Computer Science and Director of the Ken Kennedy Institute for Information Technology at Rice University, for the free ACM TechTalk, "Lessons from COVID-19: Efficiency vs Resilience." In both computer science and economics, efficiency is a cherished property. In computer science, the field of algorithms is almost solely focused on their efficiency. In economics, the main advantage of the free market is that it promises "economic efficiency." A major lesson from COVID-19 is that both fields have over-emphasized efficiency and under-emphasized resilience. In this talk, Prof. Vardi argues that resilience is a more important property than efficiency and discusses how the two fields can broaden their focus to make resilience a primary consideration Register to attend the talk live or be alerted when the recording is available. submitted by /u/ACMLearning [link] [comments]

What numbers can fractional binary notation represent? Posted: 07 Oct 2020 07:17 AM PDT In Computer Systems: a Programmer's Perspective: Consider a notation of the form $bm b{m - 1} \dots b1 b_0 . b{-1} b{-2} \dots b{-n + 1} b{- n}$, where each binary digit, or bit, $b_i$ ranges between 0 and 1. This notation represents a number $b$ defined as $$b = \summ{i =- n} 2i × b_i$$ Assuming we consider only finite-length encodings, fractional binary notation can only represent numbers that can be written $x \times 2y$ . Other values can only be approximated. Isn't it that fractional binary notation can only represent numbers that can be written $\summ_{i =- n} 2i × b_i$? Why is it $x \times 2y$? Thanks. submitted by /u/timlee126 [link] [comments]

Is the exponent value in floating point number encoded by ones' complement method? Posted: 07 Oct 2020 10:02 AM PDT From Computer Systems: a Programmer's Perspective: The bit representation of a floating-point number is divided into three fields to encode these values: the single sign bit s, the k-bit exponent field exp, and the n-bit fraction field frac. Case 1: Normalized Values when the bit pattern of exp is neither all zeros (numeric value 0) nor all ones (numeric value 255 for single precision, 2047 for double), the exponent field is interpreted as representing a signed integer in biased form. That is, the exponent value is $E = e − Bias$, where $e$ is the unsigned number having bit representation $e_{k − 1} \dots e_1 e_0$ and $Bias$ is a bias value equal to $2{k − 1} − 1$ (127 for single precision and 1023 for double). This yields exponent ranges from −126 to +127 for single precision and −1022 to +1023 for double precision. In Case 1 Normalized Values, is the exponent value a signed integer and encoded by ones' complement method? Thanks. submitted by /u/timlee126 [link] [comments]

Is programming still a valuable skill? Posted: 07 Oct 2020 11:31 PM PDT submitted by /u/alex123711 [link] [comments]

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