Autonomous cars? Not yet. Digital cockpits, assisted driving the latest auto tech focus


Yes, real people, responsible for getting their vehicle from point A to point B. Car companies and the tech companies they increasingly work with seemed to acknowledge this reality. The focus has clearly shifted away from the unrealistic expectations about fully autonomous cars being available to purchase in the near future, and toward valuable, practical and safety-focused enhancements to the driving experience. Earlier this month at the Consumer Electronics Show in Las Vegas, several vendors demonstrated "digital cockpits" that dramatically improve the displays and controls with which drivers interact. Additionally, chipmakers Nvidia and Intel discussed advances in assisted driving platforms, commonly known as ADAS (Advanced Driver Assistance Systems). A link has been posted to your Facebook feed.

Swine flu kills at least 40 in India's Rajasthan state

Al Jazeera

At least 40 people have died and more than 1,000 have tested positive for swine flu since the beginning of the year in a western Indian state popular with foreigners, according to authorities. The highly contagious H1N1 virus that spreads from human-to-human killed around 1,100 people and infected 15,000 across the country last year. "Total deaths are 40 and positive cases are 1,036 as from January 1 to 17 in Rajasthan. One of the deaths occurred on Thursday," a statement by the Rajasthan health department said on Friday. Rajasthan's Jodhpur district recorded the highest death toll with 16 fatalities and 225 people testing positive.

Digital Tech Trends: Internet of things, AI, Blockchain are 3 tech set to have a huge impact in 2019


Last year, we had the benefit of leaning on the recent findings of our inaugural Cycle of Progress digital transformation benchmark study to inform my predictions. This global survey examines global business leaders' hopes and fears about emerging technologies, and reveals which technologies they are actively implementing to drive the digital transformation of their business--versus which ones are yet to live up to the hype. Based on our findings, I see several technologies continuing to lead the way in 2019, namely Internet of Things (IoT), Artificial Intelligence (AI) and blockchain. More than half (53%) of Cycle of Progress respondents say that they have adopted IoT in some shape or form so far. Already well established in many businesses, IoT applications and services are leading the pack in having the greatest positive impact.

Artificial Intelligence Policy Intern - Brussels - Access Now


Access Now is a growing international human rights organisation dedicated to defending and extending the digital rights of users at risk around the world, including issues of privacy, security, freedom of expression, and transparency. Our policy, advocacy, technology, and operations teams have staff presences in Europe, Latin America, the Middle East/North Africa (MENA), North America, and South/Southeast Asia, to provide global support to our mission. Access Now's Policy team works globally and supports our mission by developing and promoting rights-respecting practices and policies. The Policy team seek to advance laws and global norms to affect long-term systemic change in the area of digital rights and online security, developing insightful, rights-based, and well-researched policy guidance to governments, corporations, and civil society. The need to hold both the public and private sectors accountable leads the Policy team to use diverse fora, including domestic and regional courts, intergovernmental bodies, and expert offices to promote norms and best practices.

How Grammarly & Google are using AI for flawless writing


Earlier, in order to run a quick spelling and grammar check on any text, we would rely on Microsoft's Check Document feature. While it was definitely helpful, one would have to copy the text to a Word document to run the check. Now there are many online editing tools – including Grammarly and Google Doc's inbuilt grammar suggestions, that can do pretty much the same thing as the Check Document tool. And these online tools are designed to improve your writing, by not only helping you with grammar and spelling but also sentence structure. With the help of artificial intelligence (AI) and machine learning, they are now offering more accurate results.

Robots--like people--use 'imagination' to learn concepts


Instead of relying on a list of rules or training on a massive data set like standard computers, a new computational framework for learning lets robots come up with their own concepts by detecting abstract differences in images and then recreating them in real life. Watch the video to learn more.

How cheap labour drives China's AI ambitions


By Li Yuan Some of the most critical work in advancing China's technology goals takes place in a former cement factory in the middle of the country's heartland, far from the aspiring Silicon Valleys of Beijing and Shenzhen. An idled concrete mixer still stands in the middle of the courtyard. Boxes of melamine dinnerware are stacked in a warehouse next door. Inside, Hou Xiameng runs a company that helps artificial intelligence make sense of the world. Two dozen young people go through photos and videos, labeling just about everything they see.

Facial Recognition in Law Enforcement – 6 Current Applications Emerj - Artificial Intelligence Research and Insight


According to the US Government Accountability Office, the Federal Bureau of Investigation's database contains over 30 million mugshots of criminals and ID card images from 16 states. This is just one of many law enforcement databases which also contain further identity information, including fingerprints and text data. With needs to improve investigation times and streamline the task of matching suspect images within a pool of numerous identities, government officials, law enforcement offices, and commercial vendors are researching how AI, specifically computer vision, can be used to improve facial recognition. Through our research, we aim to show insights on how various law enforcement agencies and companies are implementing facial recognition technologies. Readers interested in AI for law enforcement might be interested in our founder's presentation at a joint INTERPOL-UN conference on AI in law enforcement given in the summer of 2018.

Understanding Convolutional Neural Networks through Visualizations in PyTorch


In the present era, machines have successfully achieved 99% accuracy in understanding, identifying the features and objects in the images. We see them daily, to quote a few, smartphones recognizing faces in the camera, ability to search particular photos in google photos, scanning text from the barcode or books at a good pace etc. This state of the art performance of the machine was possible because of a specific type of neural network called Convolutional Neural Network, also known as convnet. If you are a deep learning enthusiast, you would have probably heard about these and you might have developed a few image classifiers. Modern deep-learning frameworks like Tensorflow and PyTorch make it easy to teach machines about images.

The 5 exciting machine learning, data science and big data trends for 2019 - Edvancer Eduventures


Big data and analytics have become crucial to business. But will that spine develop, or will it change the landscape of business yet again? Here's a sneak peek into what the following months look like. Just a while ago big data was a lucrative new phenomenon promising a smooth business takeover. Now, since data and analytics are imperative to business and deeply embedded, the question arises whether technology will have a growth spurt in the coming year, continue to mold and restructure businesses or be replaced by something else.