Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different ...

The need to manage large fleets of autonomous vehicles and drones continues to grow.  Unfortunately, the systems in place today require a lot of effort and computational power. Additionally, these ...

I wrote an article that examined some betting market data whereby I investigated patterns of price movement from early ...

The researchers validate SySTeC’s effectiveness through extensive performance evaluations on common tensor operations, including symmetric sparse matrix-vector multiplication (SSYMV), ...

The odd superconductivity found in layered graphene may bring us closer to understanding room-temperature superconductors ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and ...

Forgot thermal paste or liquid metal, instead carbon is your friend when it comes to keeping your $2,000+ new Nvidia graphics ...

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Now, more than ever, supply chain operators need a tool that helps them predict and understand disruptions and gives them the power to plan accordingly. In the last twelve months, the Suez Canal was ...

CFAL (Centre for Advanced Learning) and ELC (Early Learning Centre) are delighted to host Dr Ambat Vijayakumar, an eminent ...

Adjusting asset-class exposure based on changing market conditions sounds good in theory but usually doesn’t work.

With the growth of fire hazards there is impetus to develop new technologies to remotely monitor and quantify wildfires.