1. 5 Best Machine Learning GitHub Repositories & Reddit Discussions (November 2018)
Coding is among one of the best things about being a data scientist. There are often days when I find myself immersed in programming something from scratch. We need to be aware of all the latest developments in the community, what other machine learning professionals and thought leaders are talking about, what are the moral implications of working on a controversial project, etc. Read More
2. Google’s DeepMind predicts 3D shapes of proteins
Continue reading Daily Artificial Intelligence News Roundup #131
1. Four billion people lack an address. Machine learning could change that.
An estimated 4 billion people in the world lack a physical address. )
“As you move into a more global economy and more people order and get goods delivered at a distance, you need a more specific address than ‘the house with the red door across from the cathedral,’” says Merry Law, the president of a company that provides international addressing information. The system analyzed the density and shape of the roads to segment the network into different communities, and the densest cluster was labeled as the city center. Read More
2. Super-Intelligent AI Paperclip Maximizer Conundrum and AI Self-Driving Cars
Continue reading Daily Artificial Intelligence News Roundup #130
1. Highlights from DataHack Summit 2018 – a Truly Overwhelming and Resounding Success!
These are some questions we had when we started thinking about DataHack Summit 2018. A chance to see artificial intelligence in a way no other conference in India has even shown.
With more than 1,200 attendees from various diverse industries and domains (more than 400 organizations), DataHack Summit 2018 was an unqualified success. Read More
2. Is the Chinese billionaire Jack Ma using AI to create dystopian cities? | Alfie Bown
Continue reading Daily Artificial Intelligence News Roundup #129
1. — Issue #61 –
Tutorials, Tips and Tricks
At some point of time, we all search for the various opensource ML models, maybe to try it out, see how it works.
We saw Big GANs generator was opensourced last week and the community has gone wild ever since.
Tencent ML Images
Tencent recently put out the largest open-source multi-label image database, including 17,609,752 training and 88,739 validation image URLs, which are annotated with up to 11,166 categories. Read More
2. A wearable robot arm makes you work for Thanksgiving leftovers
The robotic arm will feed whichever human looks happiest about their upcoming treat, reports IEEE Spectrum. After someone manually guides the chest-mounted robot toward a piece of food, it will grab the morsel and hold it in the air. If the person sitting across from the arm looks happy about the prospect of a snack, Arm-A-Dine will deliver it to their mouth. Read More Continue reading Daily Artificial Intelligence News Roundup #128
1. Amazon Rekognition announces updates to its face detection, analysis, and recognition capabilities
Today we are announcing updates to our face detection, analysis, and recognition features. These updates provide customers with improvements in the ability to detect more faces from images, perform higher accuracy face matches, and obtain improved age, gender, and emotion attributes for faces in images. These aspects might include pose variations caused by head movement and/or camera movements, occlusion due to foreground or background objects (such as faces covered by hats, hair, or hands of another person in the foreground), illumination variations (such as low contrast and shadows), bright lighting that leads to washed out faces, low quality and resolution that leads to noisy and blurry faces, and distortion from cameras and lenses themselves. Read More
2. ITS 2019 : Intelligent Tutoring Systems
Continue reading Daily Artificial Intelligence News Roundup #127
1. A US attempt to keep AI out of China’s hands could actually help China
The US and China are in a race to become the AI superpower of the century. It says it will use the feedback “to determine whether there are specific emerging technologies” within each category that merit restriction. David Edelman, the director of the Project on Technology, the Economy, and National Security at MIT. Read More
2. [1811.07901] On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection
Continue reading Daily Artificial Intelligence News Roundup #126
1. 4 Secrets for a Future Ready Career in Data Science
Automation makes running a business more efficient on one hand, and on the other, it keeps on changing the skill set required to stay relevant in the industry.
Scenario 1 – Manual Roles
You are an HR professional in the year 2000, when most of the company employee documents were on paper.
Is Data Scientist a Robot-Safe Profession. Read More
2. Build Your Own Natural Language Models on AWS (no ML experience required)
Continue reading Daily Artificial Intelligence News Roundup #125
1. Machine Learning Moves Into Fab And Mask Shop
Semiconductor Engineering sat down to discuss artificial intelligence (AI), machine learning, and chip and photomask manufacturing technologies with Aki Fujimura, chief executive of D2S; Jerry Chen, business and ecosystem development manager at Nvidia; Noriaki Nakayamada, senior technologist at NuFlare; and Mikael Wahlsten, director and product area manager at Mycronic. In neural networks, a system crunches data and identifies patterns. They need to consume a lot of data. Read More
2. The barrier of meaning, schooling Congress on AI, ML at Uber, Wolfram Alpha, reaching AGI and more
Continue reading Daily Artificial Intelligence News Roundup #124
1. Scaling Streams with Google
We’re excited to announce that the team behind Streams—our mobile app that supports doctors and nurses to deliver faster, better care to patients—will be joining Google. One of the reasons for joining forces with Google in 2014 was the opportunity to use Google’s scale and experience in building billion-user products to bring our breakthroughs more rapidly to the wider world.
Over the past three years we’ve built a team of experts in what it takes to deploy clinical tools in practice – engineers, clinicians, translational researchers and more. Read More
2. Pitt Researcher Uses Video Games to Unlock New Levels of AI
Continue reading Daily Artificial Intelligence News Roundup #123
1. Current and Future State of AI and Machine Learning
AI – and machine learning in partcular – are set to have transformative effects on the way we work, learn and interact with others. In fact, in a recent 451 Research survey of enterprise tech decision makers, 97% of respondents believe AI will have between a slight and significant impact on society in the next two years, with 71% believing it to have a significant or moderate impact. In this webinar, Research Vice President Nick Patience of 451 Research will discuss the use cases, business benefits and barriers to adoption being felt by enterprises around the world, based on his most recent survey. Read More
2. AI Is Not ‘Magic Dust’ for Your Company, Says Google’s Cloud AI Boss
Continue reading Daily Artificial Intelligence News Roundup #122