Here’s an interesting look at the implications of Deep Fakes and how the state of the art in the field is moving faster all the time.
In this Engadget video, explore the future of famring, where robots do most of the work. Interestingly enough, the robots are already in the fields. You can imagine what these means for low-skill farm jobs.
From beating humans at go and chess to the rise of superintelligence and the singularity. What’s the long view of AI?
PBS NewsHour highlights startup called Relativity and how it is pushing space technology forward by pushing 3D printing technology to its limits, building the largest metal 3D printer in the world.
Major companies anxious to try these new ways of manufacturing, too. It’s a good look at some of the amazing advances that’s launching the technology into a new era.
Dr Mike Pound on the Viola/Jones algorithm, a face detection algorithm that does not use deep learning, but is so good that it’s still in use today.
The original Viola/Jones Paper: http://bit.ly/C_RapidObjectDetectPaper
Here’s an interesting talk from Microsoft Research YouTube channel by Yuija Li about Gated Graph Sequence Neural Networks. Details about the presentation and a link to the paper are below the video.
From the description:
Graph-structured data appears frequently in domains including chemistry, natural language semantics, social networks, and knowledge bases. In this work, we study feature learning techniques for graph-structured inputs. Our starting point is previous work on Graph Neural Networks (Scarselli et al., 2009), which we modify to use gated recurrent units and modern optimization techniques and then extend to output sequences. The result is a flexible and broadly useful class of neural network models that has favorable inductive biases relative to purely sequence-based models (e.g., LSTMs) when the problem is graph-structured. We demonstrate the capabilities on some simple AI (bAbI) and graph algorithm learning tasks. We then show it achieves state-of-the-art performance on a problem from program verification, in which subgraphs need to be matched to abstract data structures.
BBC Click takes a look at flying cabs and smarter airports. Plus using VR to help calm fear and a look at the visual effects behind Blade Runner 2049.
This episode of Blocktalk provides a review of consensus algorithms that are used, primarily for consortium based deployments. This include the popular Proof of Authority, Proof of Work and a variant of BFT.
The core concepts of the algorithms are introduced and a demonstration of using the popular GETH client to provision a PoA based network, and how the consensus can be chosen at blockchain creation time, demonstrating the popular pluggable consensus. Additional details and sample code are available on GitHub: https://aka.ms/bt-consensus9F
Following on a previous post regarding best practices for graphs in CosmosDB, here’s a video on best practices for indexing.