Author: admin13789yYur

I assume you’re familiar with image morphing – the process of changing one image into another through a seamless transition. So how would word morphing look like? If we want to do a seamless transition from one word into another, through which words would it pass? In this post I’ll describe how I employed word2vec’s embeddings and $A^*$ search algorithm to morph between words. In order to perform word morphing, we’ll define a graph $G$ where the set of nodes $N$ represent words, and there’s some weight function $f : N \times N \rightarrow \mathbbHai_para$. Given a start word $n_tepat$…

Google drops updates for its own Pixel phones, which are referred to as “Pixel Feature Drops,” and offers some new features and sometimes some enhancements. This used to be a quarterly update, but it’s apparently much more frequent now. Not just for new phones but also for old ones. Which is really nice of Google to do. A lot of smartphone makers want you to buy a new phone to get these features. Here, we’re going to go over every single new feature that comes in these Pixel Feature Drops. So you can see what’s new and take advantage of…

Object storage has been growing in popularity among data storage architectures. Compared to file systems and block storage, object storage faces no limitations when handling petabytes of data. By design, the limitless nature of object storage makes it fit for Big Data and Cloud contexts. Moreover, object storage is simple and efficient. It offers easy data replication, scalability and is fit for “Write Once Read Many” contexts such as data analytics. Those characteristics combined with its ease of implementation and programmability all account to its widely spread usage. What exactly is an object? How does object storage work, and what…

This post was originally published by me at the Taboola engineering blog. Now that more than a year has passed since our first deep learning project emerged, we have had to keep moving forward and delivering the best models we can. Doing so has involved a lot of research, trying out different models, from as simple as bag-of-words, LSTM and CNN, to the more advanced attention, MDN and multi-task learning. Even the simplest model we tried has many hyperparameters, and tuning these might be even more important than the actual architecture we ended up using – in terms of the…

Edgar Cervantes / Android AuthorityTL;DR Google is launching a new feature for Docs called “help me create.” The feature builds a full document for you based on content from Drive and a prompt. Help me create only works with pageless documents. Google already offers a wide selection of AI tools for its productivity products. For example, “help me write” can generate a draft for you if you need a head start on your writing. The company is now going a step further by introducing a Drive feature that will build entire documents for you.Today, Google announced that it is debuting…

MinIO is a popular object storage solution. Often recommended for its simple setup and ease of use, it is not only a great way to get started with object storage: it also provides excellent performance, being as suitable for beginners as it is for production. MinIO implements the object storage data architecture, which is scalable and simple in its implementation and uses. All object storage solutions are federated under the S3 interface open standard, and as a result, different S3-compliant object storage solutions work with various S3-compatible applications. Our presentation of object storage architecture states that object storage solutions are…

Last week I had the opportunity to attend at the TCE annual conference. It was themed around both theoretical and practical aspects of deep learning. As a deep learning practitioner who enjoys understanding why things work (or don’t), I knew I’d find the conference interesting. I decided to be a good citizen, and share the highlights with you. Please be aware that by highlights I mean the things I subjectively found interesting. This won’t be a thorough summary of the conference. The first talk was given by prof. Nati Srebro from the University of Chicago. One of the challenges he…

If a VM has been backdoored, the cryptographic attestation will fail and immediately alert the VM admin of the compromise. Or at least that’s how SEV-SNP is designed to work. BadRAM is an attack that a server admin can carry out in minutes, using either about $10 of hardware, or in some cases, software only, to cause DDR4 or DDR5 memory modules to misreport during bootup the amount of memory capacity they have. From then on, SEV-SNP will be permanently made to suppress the cryptographic hash attesting its integrity even when the VM has been badly compromised. “BadRAM completely undermines…

Ceph is a distributed all-in-one storage system. Reliable and mature, its first stable version was released in 2012 and has since then been the reference for open source storage. Ceph’s main perk is both delivering block storage, file systems and object storage in a single solution. Storage in Ceph is supported by the Ceph cluster. It consists of a variety of components such as object storage daemons, monitors, managers… The Ceph cluster is deployed either on individual hosts in non-Kubernetes environments, or in a Kubernetes cluster with Rook as an orchestrator. Rook is a tool used for managing and simplifying…

Training deep neural networks usually boils down to defining your model’s architecture and a loss function, and watching the gradients propagate. However, sometimes it’s not that simple: some architectures incorporate a random component. The forward pass is no longer a deterministic function of the input and weights. The random component introduces stochasticity, by means of sampling from it. When would that happen, you ask? Whenever we want to approximate an intractable sum or integral. Then, we can form a Monte Carlo estimate. A good example is the variational autoencoder. Basically, it’s an autoencoder on steroids: the encoder’s job is to…