amaral + from_pocket   372

Google AI Blog: Improving Connectomics by an Order of Magnitude
The field of connectomics aims to comprehensively map the structure of the neuronal networks that are found in the nervous system, in order to better understand how the brain works. (via Pocket at July 16, 2018 at 01:16PM )
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13 hours ago by amaral
Google AI Blog: Accelerated Training and Inference with the Tensorflow Object Detection API
Accelerated Inference via Quantization and TensorFlow Lite To better support low-latency requirements on mobile and embedded devices, the models we are providing are now natively compatible with TensorFlow Lite, which enables on-device machine learning inference with low latency and a small bi (via Pocket at July 13, 2018 at 04:06PM )
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3 days ago by amaral
Why and How to Practice a Solid Song Repertoire
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3 days ago by amaral
Google AI Blog: Automating Drug Discoveries Using Computer Vision
Vincent Vanhoucke, Principal Scientist, Google Brain Team “Every time you miss a protein crystal, because they are so rare, you risk missing on an important biomedical discovery.” - Patrick Charbonneau, Duke University Dept. of Chemistry and Lead Researcher, MARCO initiative. (via Pocket at July 12, 2018 at 02:34PM )
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4 days ago by amaral
Google AI Blog: Google at ICML 2018
Machine learning is a key strategic focus at Google, with highly active groups pursuing research in virtually all aspects of the field, including deep learning and more classical algorithms, exploring theory as well as application. (via Pocket at July 09, 2018 at 04:27PM )
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7 days ago by amaral
Meditation will make you a better programmer: Here’s how.
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13 days ago by amaral
Meditation will make you a better programmer: Here’s how.
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13 days ago by amaral
Google AI Blog: Scalable Deep Reinforcement Learning for Robotic Manipulation
To be more efficient, we need to use off-policy reinforcement learning, which can learn from data that was collected hours, days, or weeks ago. (via Pocket at June 28, 2018 at 02:06PM )
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18 days ago by amaral
Google AI Blog: Self-Supervised Tracking via Video Colorization
Our hypothesis is that the temporal coherency of color provides excellent large-scale training data for teaching machines to track regions in video. Clearly, there are exceptions when color is not temporally coherent (such as lights turning on suddenly), but in general color is stable over time. (via Pocket at June 27, 2018 at 02:06PM )
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19 days ago by amaral
Google AI Blog: Teaching Uncalibrated Robots to Visually Self-Adapt
The Challenge Discovering how the controllable degrees of freedom (DoF) affect visual motion can be ambiguous and underspecified from a single image captured from an unknown viewpoint. (via Pocket at June 22, 2018 at 02:25PM )
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24 days ago by amaral
Google AI Blog: How Can Neural Network Similarity Help Us Understand Training and Generalization?
In order to solve tasks, deep neural networks (DNNs) progressively transform input data into a sequence of complex representations (i.e., patterns of activations across individual neurons). (via Pocket at June 21, 2018 at 02:28PM )
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25 days ago by amaral
Hobbies
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26 days ago by amaral
Google AI Blog: Google at CVPR 2018
This week, Salt Lake City hosts the 2018 Conference on Computer Vision and Pattern Recognition (CVPR 2018), the premier annual computer vision event comprising the main conference and several co-located workshops and tutorials. (via Pocket at June 18, 2018 at 04:03PM )
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28 days ago by amaral
Google AI Blog: Google at NAACL
This week, New Orleans, LA hosted the North American Association of Computational Linguistics (NAACL) conference, a venue for the latest research on computational approaches to understanding natural language. (via Pocket at June 08, 2018 at 03:13PM )
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5 weeks ago by amaral
Google AI Blog: Realtime tSNE Visualizations with TensorFlow.js
In recent years, the t-distributed Stochastic Neighbor Embedding (tSNE) algorithm has become one of the most used and insightful techniques for exploratory data analysis of high-dimensional data. (via Pocket at June 07, 2018 at 03:13PM )
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5 weeks ago by amaral
Google AI Blog: Announcing an updated YouTube-8M, and the 2nd YouTube-8M Large-Scale Video Understanding Challenge and Workshop
Our YouTube-8M (2018 edition) features a major improvement in the quality of annotations, obtained using a machine learning system that combines audio-visual content with title, description and other metadata to provide more accurate ground truth annotations. The updated version contains 6. (via Pocket at June 05, 2018 at 07:09PM )
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5 weeks ago by amaral
Google AI Blog: Improving Deep Learning Performance with AutoAugment
The success of deep learning in computer vision can be partially attributed to the availability of large amounts of labeled training data — a model’s performance typically improves as you increase the quality, diversity and the amount of training data. (via Pocket at June 04, 2018 at 05:09PM )
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6 weeks ago by amaral
Ferreira Costa
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7 weeks ago by amaral
Estrutura de palestra
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7 weeks ago by amaral
Google AI Blog: Advances in Semantic Textual Similarity
The recent rapid progress of neural network-based natural language understanding research, especially on learning semantic text representations, can enable truly novel products such as Smart Compose and Talk to Books. (via Pocket at May 17, 2018 at 12:09PM )
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8 weeks ago by amaral
Google AI Blog: Smart Compose: Using Neural Networks to Help Write Emails
In developing Smart Compose, there were a number of key challenges to face, including: Latency: Since Smart Compose provides predictions on a per-keystroke basis, it must respond ideally within 100ms for the user not to notice any delays. (via Pocket at May 16, 2018 at 02:04PM )
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8 weeks ago by amaral
Jupyter Notebook for Beginners: A Tutorial – Towards Data Science
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9 weeks ago by amaral
Google AI Blog: Automatic Photography with Google Clips
We took this pairwise comparison approach, instead of having raters score videos directly, because it is much easier to choose the better of a pair than it is to specify a number. We found that raters were very consistent in pairwise comparisons, and less so when scoring directly. (via Pocket at May 11, 2018 at 01:14PM )
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9 weeks ago by amaral
Google AI Blog: Custom On-Device ML Models with Learn2Compress
Successful deep learning models often require significant amounts of computational resources, memory and power to train and run, which presents an obstacle if you want them to perform well on mobile and IoT devices. (via Pocket at May 09, 2018 at 09:19PM )
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9 weeks ago by amaral
Google AI Blog: Google Duplex: An AI System for Accomplishing Real World Tasks Over the Phone
A long-standing goal of human-computer interaction has been to enable people to have a natural conversation with computers, as they would with each other. (via Pocket at May 08, 2018 at 02:54PM )
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9 weeks ago by amaral
Google AI Blog: Deep Learning for Electronic Health Records
We used deep learning models to make a broad set of predictions relevant to hospitalized patients using de-identified electronic health records. (via Pocket at May 08, 2018 at 01:49PM )
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9 weeks ago by amaral
Google AI Blog: Introducing Google AI
To better reflect this commitment, we’re unifying our efforts under “Google AI”, which encompasses all the state-of-the-art research happening across Google. (via Pocket at May 08, 2018 at 03:23AM )
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9 weeks ago by amaral
Google AI Blog: The Question of Quantum Supremacy
Quantum computing integrates the two largest technological revolutions of the last half century, information technology and quantum mechanics. If we compute using the rules of quantum mechanics, instead of binary logic, some intractable computational tasks become feasible. (via Pocket at May 08, 2018 at 03:23AM )
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9 weeks ago by amaral
Storytelling: um guia para contar histórias envolventes
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10 weeks ago by amaral
Ideas about Storytelling
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10 weeks ago by amaral
Research Blog: The Question of Quantum Supremacy
Quantum computing integrates the two largest technological revolutions of the last half century, information technology and quantum mechanics. If we compute using the rules of quantum mechanics, instead of binary logic, some intractable computational tasks become feasible. (via Pocket at May 04, 2018 at 03:10PM )
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10 weeks ago by amaral
(9) Twitter
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10 weeks ago by amaral
Caligrafia
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10 weeks ago by amaral
Sugestões de games
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10 weeks ago by amaral
Research Blog: Announcing Open Images V4 and the ECCV 2018 Open Images Challenge
In 2016, we introduced Open Images, a collaborative release of ~9 million images annotated with labels spanning thousands of object categories. (via Pocket at April 30, 2018 at 02:07PM )
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11 weeks ago by amaral
Research Blog: Google at ICLR 2018
This week, Vancouver, Canada hosts the 6th International Conference on Learning Representations (ICLR 2018), a conference focused on how one can learn meaningful and useful representations of data for machine learning. (via Pocket at April 29, 2018 at 09:07PM )
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11 weeks ago by amaral
Informações financiamento imóvel caixa
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11 weeks ago by amaral
Tópicos
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11 weeks ago by amaral
Tópicos para conversa
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11 weeks ago by amaral
Tópicos para conversa
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11 weeks ago by amaral
Research Blog: Announcing the Google Cloud Platform Research Credits Program
Scientists across nearly every discipline are researching ever larger and more complex data sets, using tremendous amounts of compute power to learn, make discoveries and build new tools that few could have imagined only a few years ago. (via Pocket at April 26, 2018 at 02:36PM )
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11 weeks ago by amaral
Research Blog: Google’s Workshop on AI/ML Research and Practice in India
Prabhakar Raghavan’s keynote address (via Pocket at April 24, 2018 at 02:27PM )
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11 weeks ago by amaral
Research Blog: Introducing the CVPR 2018 On-Device Visual Intelligence Challenge
Over the past year, there have been exciting innovations in the design of deep networks for vision applications on mobile devices, such as the MobileNet model family and integer quantization. (via Pocket at April 20, 2018 at 02:20PM )
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12 weeks ago by amaral
Research Blog: DeepVariant Accuracy Improvements for Genetic Datatypes
Last December we released DeepVariant, a deep learning model that has been trained to analyze genetic sequences and accurately identify the differences, known as variants, that make us all unique. (via Pocket at April 19, 2018 at 02:04PM )
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12 weeks ago by amaral
Research Blog: An Augmented Reality Microscope for Cancer Detection
In principle, the ARM can provide a wide variety of visual feedback, including text, arrows, contours, heatmaps, or animations, and is capable of running many types of machine learning algorithms aimed at solving different problems such as object detection, quantification, or classification. (via Pocket at April 16, 2018 at 02:07PM )
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april 2018 by amaral
PC Build Success Story: R3 1300X / GTX 1050 Ti Gaming Rig - Logical Increments Blog
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april 2018 by amaral
The Biggest Challenges of Building a PC (and How to Solve Them) - Logical Increments Blog
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april 2018 by amaral
Research Blog: Introducing Semantic Experiences with Talk to Books and Semantris
Natural language understanding has evolved substantially in the past few years, in part due to the development of word vectors that enable algorithms to learn about the relationships between words, based on examples of actual language usage. (via Pocket at April 13, 2018 at 02:20PM )
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april 2018 by amaral
Research Blog: Seeing More with In Silico Labeling of Microscopy Images
In the fields of biology and medicine, microscopy allows researchers to observe details of cells and molecules which are unavailable to the naked eye. (via Pocket at April 12, 2018 at 03:40PM )
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april 2018 by amaral
Research Blog: Looking to Listen: Audio-Visual Speech Separation
To generate training examples, we started by gathering a large collection of 100,000 high-quality videos of lectures and talks from YouTube. From these videos, we extracted segments with a clean speech (e.g. (via Pocket at April 11, 2018 at 03:10PM )
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april 2018 by amaral
Research Blog: Announcing the 2018 Google PhD Fellows for North America, Europe and the Middle East
Google created the PhD Fellowship program in 2009 to recognize and support outstanding graduate students doing exceptional research in Computer Science and related disciplines. (via Pocket at April 05, 2018 at 03:44PM )
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april 2018 by amaral
Research Blog: MobileNetV2: The Next Generation of On-Device Computer Vision Networks
Last year we introduced MobileNetV1, a family of general purpose computer vision neural networks designed with mobile devices in mind to support classification, detection and more. (via Pocket at April 03, 2018 at 01:13PM )
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april 2018 by amaral
Research Blog: Investing in France’s AI Ecosystem
Recently, we announced the launch of a new AI research team in our Paris office. And today DeepMind has also announced a new AI research presence in Paris. (via Pocket at March 29, 2018 at 03:44AM )
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march 2018 by amaral
Research Blog: Using Machine Learning to Discover Neural Network Optimizers
Deep learning models have been deployed in numerous Google products, such as Search, Translate and Photos. The choice of optimization method plays a major role when training deep learning models. (via Pocket at March 28, 2018 at 06:09PM )
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march 2018 by amaral
Research Blog: Expressive Speech Synthesis with Tacotron
The embedding can also transfer fine time-aligned prosody from one phrase to a slightly different phrase, though this technique works best when the reference and target phrases are similar in length and structure. (via Pocket at March 27, 2018 at 03:09PM )
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march 2018 by amaral
Research Blog: Using Deep Learning to Facilitate Scientific Image Analysis
Many scientific imaging applications, especially microscopy, can produce terabytes of data per day. These applications can benefit from recent advances in computer vision and deep learning. In our work with biologists on robotic microscopy applications (e.g. (via Pocket at March 16, 2018 at 02:08PM )
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march 2018 by amaral
Research Blog: Using Evolutionary AutoML to Discover Neural Network Architectures
The brain has evolved over a long time, from very simple worm brains 500 million years ago to a diversity of modern structures today. (via Pocket at March 15, 2018 at 03:08PM )
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march 2018 by amaral
Research Blog: Balanced Partitioning and Hierarchical Clustering at Scale
Solving large-scale optimization problems often starts with graph partitioning, which means partitioning the vertices of the graph into clusters to be processed on different machines. The need to make sure that clusters are of near equal size gives rise to the balanced graph partitioning problem. (via Pocket at March 14, 2018 at 02:06PM )
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march 2018 by amaral
Research Blog: Behind the Motion Photos Technology in Pixel 2
Motion photos on the Pixel 2 in Google Photos. With the camera frozen in place the focus is put directly on the subjects. For more examples, check out this Google Photos album. (via Pocket at March 13, 2018 at 02:06PM )
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march 2018 by amaral
Research Blog: Semantic Image Segmentation with DeepLab in Tensorflow
Today, we are excited to announce the open source release of our latest and best performing semantic image segmentation model, DeepLab-v3+ [1], implemented in Tensorflow. (via Pocket at March 12, 2018 at 02:06PM )
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march 2018 by amaral
Research Blog: Introducing the iNaturalist 2018 Challenge
Thanks to recent advances in deep learning, the visual recognition abilities of machines have improved dramatically, permitting the practical application of computer vision to tasks ranging from pedestrian detection for self-driving cars to expression recognition in virtual reality. (via Pocket at March 09, 2018 at 03:06PM )
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march 2018 by amaral
Research Blog: Open Sourcing the Hunt for Exoplanets
Recently, we discovered two exoplanets by training a neural network to analyze data from NASA’s Kepler space telescope and accurately identify the most promising planet signals. (via Pocket at March 08, 2018 at 04:07PM )
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march 2018 by amaral
Research Blog: The Building Blocks of Interpretability
In 2015, our early attempts to visualize how neural networks understand images led to psychedelic images. Soon after, we open sourced our code as DeepDream and it grew into a small art movement producing all sorts of amazing things. (via Pocket at March 06, 2018 at 04:12PM )
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march 2018 by amaral
Research Blog: A Preview of Bristlecone, Google’s New Quantum Processor
Before investigating specific applications, it is important to quantify a quantum processor’s capabilities. Our theory team has developed a benchmarking tool for exactly this task. (via Pocket at March 05, 2018 at 01:14PM )
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march 2018 by amaral
Odontopediatra
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march 2018 by amaral
Odontopediatra 2
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march 2018 by amaral
Research Blog: Making Healthcare Data Work Better with Machine Learning
Over the past 10 years, healthcare data has moved from being largely on paper to being almost completely digitized in electronic health records. But making sense of this data involves a few key challenges. (via Pocket at March 02, 2018 at 03:09PM )
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march 2018 by amaral
Research Blog: Mobile Real-time Video Segmentation
Training Procedure In video segmentation we need to achieve frame-to-frame temporal continuity, while also accounting for temporal discontinuities such as people suddenly appearing in the field of view of the camera. (via Pocket at March 01, 2018 at 07:14PM )
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march 2018 by amaral
Research Blog: Google-Landmarks: A New Dataset and Challenge for Landmark Recognition
Image classification technology has shown remarkable improvement over the past few years, exemplified in part by the Imagenet classification challenge, where error rates continue to drop substantially every year. (via Pocket at March 01, 2018 at 03:04PM )
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march 2018 by amaral
COMPESA
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march 2018 by amaral
Research Blog: A Summary of the Google Zürich Algorithms & Optimization Workshop
Recently, we hosted a workshop on Algorithms and Optimization in our office in Zürich, with the goal of fostering collaboration between researchers from academia and Google by providing a forum to exchange ideas in machine learning theory and large-scale graph mining. (via Pocket at February 23, 2018 at 03:07PM )
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february 2018 by amaral
Research Blog: Assessing Cardiovascular Risk Factors with Computer Vision
Heart attacks, strokes and other cardiovascular (CV) diseases continue to be among the top public health issues. Assessing this risk is critical first step toward reducing the likelihood that a patient suffers a CV event in the future. (via Pocket at February 19, 2018 at 02:27PM )
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february 2018 by amaral
Research Blog: Introducing the HDR+ Burst Photography Dataset
Burst photography is the key idea underlying the HDR+ software on Google's recent smartphones, and a fundamental computational photography technique for improving image quality. (via Pocket at February 12, 2018 at 04:23PM )
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february 2018 by amaral
Research Blog: The Instant Motion Tracking Behind Motion Stills AR
Last summer, we launched Motion Stills on Android, which delivered a great video capture and viewing experience on a wide range of Android phones. Then, we refined our Motion Stills technology further to enable the new motion photos feature in Pixel 2. (via Pocket at February 06, 2018 at 02:18PM )
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february 2018 by amaral
Conflito na nota What Is Effective Strategic Planning for Small Business — Modern da Vinci™
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february 2018 by amaral
What Is Effective Strategic Planning for Small Business — Modern da Vinci™
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february 2018 by amaral
What Is Effective Strategic Planning for Small Business — Modern da Vinci™
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february 2018 by amaral
COMPESA
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february 2018 by amaral
How Gregg Popovich Uses ‘Magical Feedback’ to Inspire the San Antonio Spurs
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january 2018 by amaral
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