by Synced
2017-06-13
Scientists and Stakeholders in Geneva for Good Artificial Intelligence
“AI for Good Global Summit,” held June 7-9 in Geneva, Switzerland.
Author: Synced
Machine Intelligence | Technology & Industry | Information & Analysis
Ready, Set, Go! Meet Yuandong Tian: AI Maverick
“Scientists need passion to do research, and that is my passion.” – Yuandong Tian, Facebook Artificial Intelligence Researcher
Epic’s Tim Sweeney: Deep Learning A.I. Will Open New Frontiers in Game Design
Tim Sweeney predicts that video game companies will ultimately utilize advanced AI techniques when the VR/AR games (or so-called “The Metaverse” games) become popular, due to advancements of cameras and displays
How to Teach Machines to Think Like Humans
Google’s DeepMind introduced its Relation Network (RN) module and a Visual Interaction Network (VIN) that achieved superhuman performance in specific tests by employing a different type of reasoning concerning objects and physical interactions.
Does Fitness Data Make the Average Person Healthier?
With these handy wearable gadgets, we can now track every aspect of our health and fitness. But are they actually making a difference to the average person’s well being?
Adversarial Generator-Encoder Networks
New autoencoder-like generative network, called Adversarial Generator-Encoder Networks (AGE Network), does not have any discriminators, which makes the entire architecture much simpler than some recently-proposed GANs, but with nearly the same-level performance
2017 1000 Plan Startup Contest – Silicon Valley Regional Competition
1000 Plan Startup Contest is going to hit Silicon Valley on June 10. As one of the most influential US-ChinaContinue Reading
Customer Success with Machine Learning (Google Cloud NEXT’17)
The reason why TensorFlow is so widely used is due to its automatic derivation of functions and distributed computing capability. This increase in interest can also be found in commercial applications.
RE·WORK: Deep Learning in Retail Summit (London, UK)
RE•WORK is one of the top global Machine Intelligence industry conference/summit organizers. The aim of Rework: Combining entrepreneurship, technology & science to re-work the future.
Exploring Sparsity in Recurrent Neural Networks
In order to deploy Recurrent Neural Networks (RNNs) efficiently, we propose a technique to reduce the parameters of a network by pruning weights during the initial training of the network.
Trump Dismisses Global Warming; AI Seeks Solution
If Artificial Intelligence (AI) were running the US, it’s unlikely it would abandon the Paris Climate Agreement.
C2 Montreal – Master Class with Yoshua Bengio: Know The Basics
Professor Bengio delivered the “Fundamentals of AI” masterclass to a cross-industry audience at C2 event in Montreal, Canada.
Word2vec: Google’s New Leap Forward on the Vectorized Representation of Words
Word2vec is an open source tool developed by a group of Google researchers led by Tomas Mikolov in 2013. It describes several efficient ways to represent words as M-dimensional real vectors, also known as word embedding, which is of great importance in many natural language processing applications
Basics of Computational Reinforcement Learning
Intelligent behavior arises from the actions of an individual seeking to maximize its received reward signals in a complex and changing world”. Meanwhile, reinforcement learning is the way to realize AI.
Visual Attribute Transfer through Deep Image Analogy
Researchers from Microsoft Research Asia and Shanghai Jiaotong University have recently published a paper on transferring visual attributes of images using a new technique called Deep Image Analogy.
25 Tweets to Know You: A New Model to Predict Personality with Social Media
In order to provide personalized ads, tech giants such as Google and Facebook are trying to abstract their users’ personality from their posts on social media. Hence, it is essential for social networking applications to predict personality from written text.
Synced X DTE: How Will AI, Machine Learning, and Quantum Computing Shape the Future?
Synced invites you to join us at How Will AI, Machine Learning and Quantum Computing Shape the Future panel atContinue Reading
How a Deep Neural Network Trained with End-to-End Learning Steers a Car
A practical way to make an autonomous vehicle is not by programming a car to drive in any environment, but by showing the car how to drive and make the car learn by itself. NVIDIA created a system of this kind, named PilotNet.
Representations for Language: From Word Embeddings to Sentence Meanings
This talk was recently given by Prof. Christopher Manning at Simons Institute, UC Berkeley. It is an introductory tutorial without complicated algorithms.
1 Day Countdown: Industry Spotlights on Global Machine Intelligence Summit 2017
With just one day remaining before the GMIS 2017 kicks off in Beijing, we’ll survey the industry applications of AI technologies.
AlphaGo: The Ultimate Go Master
For more than 2,500 years, humans have been playing and studying the incredibly complex game of Go. In a matter of months, AI learned how to do it better.
3 Day Count Down: GMIS 2017 Warms Up With Debate at Pre-Event in San Francisco
“There is going to be a revolution that’s 100 times the size of the mobile revolution,” claimed Saman Farid fromContinue Reading
Cool IJCNN Stuff from Alaska
From May 14 to 18, the 30th International Joint Conference on Neural Networks (IJCNN 2017) was held in Anchorage, AK, USA. Continuing the long tradition, the conference is organized by the International Neural Network Society (INNS), in cooperation with the IEEE Computational Intelligence Society (IEEE-CIS).
Generative Face Completion
This paper proposes a deep generative model for face completion, which can directly generate facial components for the missing regions of a face image.
Google I/O 2017: Integrating Everything with AI
At the 10th Google I/O, held May 17-19 at the Shoreline Amphitheatre in Mountain View, California, Google took a different approach from unveiling exciting new products, by putting its focus on the convergence of existing products, aimed at providing a better user experience.
8 Day Countdown: Technical Spotlight on the Global Machine Intelligence Summit 2017
On May 27-28, SYNCED will host the Global Machine Intelligence Summit 2017 (GMIS) at 898 Innospace in Beijing. This isContinue Reading
Big Picture Machine Learning: Classifying Text with Neural Networks and TensorFlow
TensorFlow is one of the most popular open source AI libraries. Its high in computing efficiency, and the rich development resources make it widely adopted by companies and individual developers.
Face Aging with Conditional Generative Adversarial Networks
The main advantage of the acGAN is the “Identity-Preserving” latent vector optimization approach to maintain the original person’s identity in reconstruction.
1960s-2010s: Humanistic Intelligence and History of Wearable Computing
Personal computers and mobile devices are in their heyday. Researchers are swarming standalone AI, focusing on how to automate self-learning intelligent systems. The interfaces for wearables meanwhile are evolving from smart screens to gesture commands, like those often seen in AR and VR commercials.
Mixtures of Lightweight Deep Convolutional Neural Networks: Application in Agricultural Robotics
Nowadays, the use of agricultural robots are steadily rising, like the AgBot II, which helps detect and classify weeds, and Harvey, used for detecting and segmenting crops.
Why AlphaGo is not AI
Thanks to AlphaGo, the term “Artificial Intelligence” (AI) came under the spotlight (again). However, Jean-Christophe Baillie doesn’t agree that AlphaGo is AI, for the reason that it’s not able to get us to full AI – an Artificial General Intelligence (AGI).
Nvidia’s Volta: A Game Changer for AI?
At this year’s GPU Technology Conference, Nvidia CEO and Founder Jensen Huang unveiled a new generation GPU architecture called Volta.
A Guide to Receptive Field Arithmetic for Convolutional Neural Networks
This is a comprehensive guide on how to calculate and visualize the receptive field information of a convolutional neural network.
Syncing Silicon Valley’s Chinese Labs
Chinese tech companies with high revenue streams are pumping money into R&D and recruiting talents in the US with newly founded facilities.
Automated Synaptic Connectivity Inference For Volume Electron Microscopy
Researchers introduce an automated synaptic connectivity inference pipeline (SyConn) to delivers a richly annotated wiring diagram, or components of a connectome.
Understanding CNN from Signal Perspective
RECOS model supply us with a signal analysis perspective of Convolution Neural Network. From this perspective, we can see the effectiveness of activation and deep architectures.
Unsupervised Image-to-Image Translation with Generative Adversarial Networks
This paper proposes a general approach to achieve “Image-to-Image Translation” by using deep convolutional and conditional generative adversarial networks (GANs).
Make AI Computing 100 Times Faster
“We want to be able to train a machine learning model, like Google Translate, in a few hours,” said Prof. Hwu. Best known for enabling the parallelism capability of the GPU to solve scientific problems like AI.
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Authors proposed a general framework for learning a span of skills in a pre-training environment, which can be used in downstream tasks by training a high-level policy on top of the skills.
Is Genome-editing CRISPR Ready to Leave the Lab?
The 2017 Harvard China Forum hosted a panel on “Futuristic Technologies & Innovations in AI and Biotech”, where Feng Zhang was invited to share insights on genome-editing.