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Xerox scanners found to sometimes alter numbers | Network World

Xerox scanners have been found to randomly alter numbers on documents when reproducing them if a certain combination of image quality and compression setting is used.

Not so random encryption keys a hackers dream | Network World

Last week came word that the randomly generated crytographic keys used by certain Linux flavors were not so random. Now there's a tool in circulation that can make it easier for attackers to crack the less-than-random keys. Debian, Ubuntu and others have released updates for the key generator. Plus, the SQL injection attack is entering its "third wave," according to IBM.

MIT alums celebrate 10th anniversary of bogus CompSci paper generator with cheeky new tool | Network World

Three MIT grads this week are celebrating the 10th anniversary of their clever SCIgen program, which randomly generates computer science papers realistic enough to get accepted by sketchy technical conferences and publishers, with a brand new tool designed to poke even more fun at such outfits.

How do you manage your social networks? | Network World

I recently decided, somewhat randomly, to experiment a bit more with social networking. I was on LinkedIn and at some point the service asked me if it could access my Gmail contact list.

How to Make Offshoring Deals Withstand Crisis | Network World

Globalization is suffering from economic, financial and political challenges. IT organizations can improve results and mitigate risks by revamping offshore strategies. Implementing globalization no longer creates automatic competitive cost advantage. While nearly all companies have globalization programs, most were created randomly and reactively without strategic consideration. To gain competitive advantage, companies must strategically engineer the integration and synergy from service providers.

Consumer-grade access points in a business network | Network World

Our wireless network includes several consumer-grade 802.11b access points. We've had problems with the network since Day 1 - the connection seems to drop randomly, and then comes back by itself. We don't know what might be causing the interference, or even if interference is the problem. Is there a checklist of things we should go through?

The Listserve: Your chance to send a message to 25,000 people. | Network World

A great experiment; a huge mailing list that one randomly selected person gets to write to every day. For free.

Why do my keys not work randomly? | TechRepublic

It appears that you are encountering an intermittent issue with your keyboard where the keys "W," "Q," and the Windows key become unresponsive at random

NICOL Robot Kinematics Dataset Dataset | Papers With Code

Kinematics Dataset for the NICOL robot (Neuro-inspired Collaborator). Data is intended for Training and Testing of inverse kinematics applications. Contains Training, Test and Validation data for NICOL's right arm. Data for two differently-sized workspaces given. Every sample is a tuple of a uniform randomly sampled robot joint state and the corresponding pose that was calculated with forward kinematics.

Google's new tool will start phasing out third-party cookies in weeks

Google is rolling out a new feature in January that will impact 1% of randomly selected Chrome users globally.

Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank | Papers With Code

Purpose: To demonstrate the feasibility and performance of a fully automated deep learning framework to estimate myocardial strain from short-axis cardiac magnetic resonance tagged images. Methods and Materials: In this retrospective cross-sectional study, 4508 cases from the UK Biobank were split randomly into 3244 training and 812 validation cases, and 452 test cases. Ground truth myocardial landmarks were defined and tracked by manual initialization and correction of deformable image registration using

Multi-label Image Recognition with Partial Labels | Papers With Code

Multi-label image recognition with partial labels (MLR-PL), in which some labels are known while others are unknown for each multi-label image, aims to train MLR models with partial labels to reduce the annotation cost. Since existing MLR datasets have complete labels, current works propose to randomly drop a certain proportion of positive and negative labels to create partially annotated datasets, and report the results on the known labels proportion of 10% to 90%.

STIR Dataset | Papers With Code

While convolutions are known to be invariant to (discrete) translations, scaling continues to be a challenge and most image recognition networks are not invariant to them. To explore these effects, we have created the Scaled and Translated Image Recognition (STIR) dataset. This dataset contains objects of size $s \in [17, 64]$, each randomly placed in a $64 \times 64$ pixel image.

Windows 10 Freezes Randomly [Solved]

To fix the “Windows 10 freezes randomly” problem, scan for viruses, run sfc scan, clear Windows temp files, run CHKDSK command, turn off fast startup.

INSTANCE Dataset | Papers With Code

INSTANCE is a data collection of more than 1.3 million seismic waveforms originating from a selection of about 54,000 earthquakes occurred since 2005 in Italy and surrounding regions and seismic noise recordings randomly extracted from event free time windows of the continuous waveforms archive. The purpose is to provide reference datasets useful to develop and test seismic data processing routines based on machine learning and deep learning frameworks. The primary source of this information is ISIDe (Ital

CIRCO Dataset | Papers With Code

CIRCO (Composed Image Retrieval on Common Objects in context) is an open-domain benchmarking dataset for Composed Image Retrieval (CIR) based on real-world images from COCO 2017 unlabeled set. It is the first CIR dataset with multiple ground truths and aims to address the problem of false negatives in existing datasets. CIRCO comprises a total of 1020 queries, randomly divided into 220 and 800 for the validation and test set, respectively, with an average of 4.53 ground truths per query.

Is Generative AI Art Actually Art, or Randomly Generated Content?

Let's examine, both legally and philosophically, times when artists use AI to create art — and why judges rule them as non-copyrightable.

XA Bin-Picking Dataset | Papers With Code

XA Bin-Picking is a point-cloud dataset comprising both simulated and real-world scenes with three industrial parts. Synthesized scenes consists of 1000 training samples. The test samples are real scenes and the ground truth instance labels are made manually. There are 20 to 30 identical types of parts randomly piled up in a scene. Each scene contains about 60,000 boundary points. Each point in the scene has instance annotations. The parts are texture-less and have no discernible color. Both of training sa

LayoutLMv2 Explained | Papers With Code

LayoutLMv2 is an architecture and pre-training method for document understanding. The model is pre-trained with a great number of unlabeled scanned document images from the IIT-CDIP dataset, where some images in the text-image pairs are randomly replaced with another document image to make the model learn whether the image and OCR texts are correlated or not. Meanwhile, it also integrates a spatial-aware self-attention mechanism into the Transformer architecture, so that the model can fully understand the

ERNIE Explained | Papers With Code

ERNIE is a transformer-based model consisting of two stacked modules: 1) textual encoder and 2) knowledgeable encoder, which is responsible to integrate extra token-oriented knowledge information into textual information. This layer consists of stacked aggregators, designed for encoding both tokens and entities as well as fusing their heterogeneous features. To integrate this layer of enhancing representations via knowledge, a special pre-training task is adopted for ERNIE - it involves randomly masking to

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