Collaborating Authors


I Scraped more than 1k Top Machine Learning Github Profiles and this is what I Found


When searching the keyword "machine learning" on Github, I found 246,632 machine learning repositories. Since these are top repositories in machine learning, I expect the owners and the contributors of these repositories to be experts or competent in machine learning. Thus, I decided to extract the profiles of these users to gain some interesting insights into their background as well as statistics. By removing duplicates as well as removing the profiles that are organizations like udacity, I obtain a list of 1208 users. After cleaning the data, it comes to the fun part: data visualization.

Artificial skin heals wounds and makes robots sweat


Imagine a dressing that releases antibiotics on demand and absorbs excessive wound exudate at the same time. Researchers at Eindhoven University of Technology hope to achieve just that, by developing a smart coating that actively releases and absorbs multiple fluids, triggered by a radio signal. This material is not only beneficial for the health care industry, it is also very promising in the field of robotics or even virtual reality. TU/e-researcher Danqing Liu, the lead author of this paper, and her Ph.D. student Yuanyuan Zhan are inspired by the skins of living creatures. Human skin secretes oil to defend against bacteria and sweats to regulate the body temperature.

Computational model decodes speech by predicting it


UNIGE scientists developed a neuro-computer model which helps explain how the brain identifies syllables in natural speech. The model uses the equivalent of neuronal oscillations produced by brain activity to process the continuous sound flow of connected speech. The model functions according to a theory known as predictive coding, whereby the brain optimizes perception by constantly trying to predict the sensory signals based on candidate hypotheses (syllables in this model).

Bag Grippers for Robotic Palletizing/De-Palletizing Operations – IAM Network


Created for both standard and custom configurations, all tools are designed to ensure safety of goods and, more importantly, humans. Due to the robust and smart design of the bag-gripping tools, operational efficiency will be streamlined and maintenance minimal. The EOAT tools are available with a variety of options such as pallet handling, slip sheet systems, sensors, etc. The bag grippers come in three versions: fixed bag width (FBG), adjustable bag width (ABG), and servo adjustable bag width (SBG). The FBG model is ideal for handling only a few bag sizes.

The most important customer service qualities in the next normal: Expertise, empathy, and speed


Salesforce surveyed over 3,500 consumers worldwide to understand what customers need, and how companies can deliver the best customer service experience during the COVID-19 pandemic. Every two weeks, Salesforce Research is surveying the general population to discover how consumers and the workforce are navigating the COVID-19 pandemic. Click here to explore Tableau data across demographics and geographies. Below are some key takeaways from respondents from around the globe. The most important customer service qualities are expertise, empathy, and speed, according to the Salesforce June 2020 Customer Service Global Survey.

What is Tokenization in NLP? Here's All You Need To Know


Language is a thing of beauty. But mastering a new language from scratch is quite a daunting prospect. If you've ever picked up a language that wasn't your mother tongue, you'll relate to this! There are so many layers to peel off and syntaxes to consider – it's quite a challenge. In order to get our computer to understand any text, we need to break that word down in a way that our machine can understand.

Twitter users have fun after seeing tweets with words 'frequency' and 'oxygen' prompt automatic COVID-19 fact-check

FOX News

Twitter users had some fun on Friday upon seeing that tweets that contained the words "frequency" and "oxygen" were automatically slapped with a coronavirus fact-check label. The tech giant has been cracking down in recent months on tweets it perceives as spreading misinformation, most notably the fact-check it had placed on President Trump's tweets on mail-in voting. However, Twitter raised eyebrows when it labeled any tweet that had the two words "frequency" and "oxygen" with label that read "Get the facts about COVID-19," which takes users to a page from May 11 addressing a conspiracy theory that 5G technology was responsible for the spread of the virus. Many took the opportunity to get creative with tweets that prompted the automatic labeling. NEWSWEEK MOCKED FOR CLAIMING CONSERVATIVES ARE'WEAPONIZING' CANCEL CULTURE TO'TAME ANTI-TRUMP CELEBRITIES' "This is a fun new meme," journalist Tim Pool began.

'Extremely odd physics' of black holes could allow them to be used to create energy, scientists say

The Independent - Tech

Black holes could be harnessed for energy, scientists have said. The claim comes after researchers produced an experiment they claim verified a decades-old theory that such black holes could create energy as a result of "extremely odd physics". Scientists at the University of Glasgow's School of Physics and Astronomy set out to validate Roger Penrose's 1969 work. They used sound waves in an attempt to endorse the "extremely odd physics a half-century after the theory was first proposed". British physicist Mr Penrose theorised that energy could be created by dropping objects such as a rocket into a black hole and splitting the object in two.

Why Is the Human Brain So Efficient? - Issue 86: Energy


The brain is complex; in humans it consists of about 100 billion neurons, making on the order of 100 trillion connections. It is often compared with another complex system that has enormous problem-solving power: the digital computer. Both the brain and the computer contain a large number of elementary units--neurons and transistors, respectively--that are wired into complex circuits to process information conveyed by electrical signals. At a global level, the architectures of the brain and the computer resemble each other, consisting of largely separate circuits for input, output, central processing, and memory.1 Which has more problem-solving power--the brain or the computer? Given the rapid advances in computer technology in the past decades, you might think that the computer has the edge.

Machine learning picks out hidden vibrations from earthquake data


Over the last century, scientists have developed methods to map the structures within the Earth's crust, in order to identify resources such as oil reserves, geothermal sources, and, more recently, reservoirs where excess carbon dioxide could potentially be sequestered. They do so by tracking seismic waves that are produced naturally by earthquakes or artificially via explosives or underwater air guns. The way these waves bounce and scatter through the Earth can give scientists an idea of the type of structures that lie beneath the surface. There is a narrow range of seismic waves -- those that occur at low frequencies of around 1 hertz -- that could give scientists the clearest picture of underground structures spanning wide distances. But these waves are often drowned out by Earth's noisy seismic hum, and are therefore difficult to pick up with current detectors.