Knowledge Graphs are increasingly becoming popular for a variety of downstream tasks like Question Answering and Information Retrieval. However, the Knowledge Graphs are often incomplete, thus leading to poor performance. As a result, there has been a lot of interest in the task of Knowledge Base Completion. More recently, Graph Neural Networks have been used to capture structural information inherently stored in these Knowledge Graphs and have been shown to achieve SOTA performance across a variety of datasets. In this survey, we understand the various strengths and weaknesses of the proposed methodology and try to find new exciting research problems in this area that require further investigation.

Nasa's Perseverance rover, due to launch to Mars this summer, will search an ancient crater lake for signs of past life. But if biology ever emerged on the Red Planet, how will scientists recognise it? Here, mission scientist Ken Williford explains what they're looking for. Today, Mars is hostile to life. It's too cold for water to stay liquid on the surface, and the thin atmosphere lets through high levels of radiation, potentially sterilising the upper part of the soil. Some 3.5 billion years ago or more, water with a near-neutral pH was present on the surface.

Andy Cockburn (andy.cockburn@canterbury.ac.nz) is a professor at the University of Cantebury, Christchurch, New Zealand, where he is head of the HCI and Multimedia Lab. Pierre Dragicevic is a research scientist at Inria, Orsay, France.

Artificial images have been around almost as long as movies. As computing power has grown and digital photography has become commonplace, special effects have increasingly been created digitally, and have become much more realistic as a result. ACM's Turing Award for 2019 to Patrick M. Hanrahan and Edwin E. Catmull reflected in part their contributions to computer-generated imagery (CGI), notably at the pioneering animation company Pixar. CGI is best known in science fiction or other fantastic settings, where audiences presumably already have suspended their disbelief. Similarly, exotic creatures can be compelling when they display even primitive human facial expressions.

An online app called Amica is now using artificial intelligence to help separating couples make parenting arrangements and divide their assets. For many people, the coronavirus pandemic has put even the strongest of relationships to the test. A May survey conducted by Relationships Australia found 42% of 739 respondents experienced a negative change in their relationship with their partner under lockdown restrictions. There has also been a surge in the number of couples seeking separation advice. The Australian government has backed the use of Amica for those in such circumstances.

Shudu Gram is a striking South African model. She's what fashion likes to call "one to watch," with a Balmain campaign in 2018, a feature in Vogue Australia on changing the face of fashion, and a red carpet appearance at the 2019 BAFTAs in a custom Swarovski gown. I'm from Canada, although I live in New York City now. Unlike Shudu, who's considered a "new face," I've been in the business for almost five years. I am also a futurist; I spend a lot of time researching emerging technologies and educating young people about the future of work through my startup WAYE.

Police Officer aims his Lidar, towards drivers that may be speeding (PAUL J. RICHARDS/AFP via Getty ... [ ] Images) As LiDAR matures into a critical sensor for ADAS and Autonomous Vehicles (AVs), balancing the styling aspects of vehicle integration with functionality is becoming increasingly important. In this sense, LiDAR is simply following in the footsteps of legacy sensors like radar, cameras, and ultrasonic. They were highly visible in early deployments, but are generally invisible today. In the absence of this, components like the laser, detector, and scanner will heat up and cause performance and reliability issues. Solid-state LiDAR (either flash or using solid-state scanning) has clear advantages in this regard.

We are familiar with most of the supervised learning methods, for example, linear regression, logistic regression, decision trees, SVM so on… where for an input we have an associated output/label. When we have a problem in which we have input but no associated output/label such kind of learning is known as unsupervised learning. One mechanism that we may use in this context is cluster analysis or clustering. Definition 1: Cluster analysis is a multivariate statistical technique. It group's observations on the basis some of their features or variables they are described by.! Definition 2: Cluster analysis observations in a data set can be divided into different groups and is very useful.

NEW DELHI: Information technology major IBM said on Thursday it is collaborating with the Central Board of Secondary Education (CBSE) to integrate artificial intelligence (AI) in the high school curriculum (grade 11 and 12) for the current academic year (2020-21). The curriculum is part of CBSE's Social Empowerment through Work Education and Action (SEWA) programme and will be introduced in about 200 schools across 13 states -- Delhi-NCR, Karnataka, Tamil Nadu, Orissa, Kerala, West Bengal, Andhra Pradesh, Telangana, Maharashtra, Madhya Pradesh, Uttar Pradesh, Rajasthan and Punjab. The IBM AI curriculum is structured around a course framework for students consisting of base strands of knowledge (basics, history, applications), skills (design thinking, computational thinking, data fluency, critical thinking) and values (ethical decision making, bias) in AI. It is further made robust with problem-based learning outcomes and assessment methods for teachers to build foundational skills of AI in students making them not just consumers of AI but creators as well. To meet CBSE's requirements for grades 11 and 12, the curriculum was co-developed with Australia's Macquarie University and Indian implementation partners -- Learning Links Foundation and 1M1B.

How does Azure Cosmos DB work under the hood?