AI Technology & Industry Review
Technical review of the newest machine intelligence research.
No matter whether the conversations commence with “Ok, Google”, “Hello Alexa”, or “Hey Siri”, tech giants Apple, Amazon, Facebook, Google and Microsoft have all granted third-party contractors access to their users’ many interactions with voice assistants.
Let’s say you’ve just sketched a portrait but don’t have the inclination to hand-colour your creation. Wouldn’t it be nice if you could simply tell an artificial intelligence assistant what colours you want and have it do the rest? Well, now you can!
California artificial intelligence startup Cerebras Systems yesterday introduced its Cerebras Wafer Scale Engine (WSE), the world’s largest-ever chip built for neural network processing.
Researchers from Two Six Labs and Stanford Schnitzer Lab have developed a deep learning system designed to explore the workings of the mouse mind and predict behavior by processing brain-based electrical activity with a neural network.
Synced Global AI Weekly August 18th
Now AI researchers have created a similar evaluation system to assess the relative performance of reinforcement learning (RL) systems across different tasks.
Israeli research company AI21 Labs today published the paper SenseBERT: Driving Some Sense into BERT, which proposes a new model that significantly improves lexical disambiguation abilities and has obtained state-of-the-art results on the complex Word in Context (WiC) language task.
A team of researchers from the Georgia Institute of Technology, Facebook AI Research and Oregon State University has proposed ViLBERT (Vision-and-Language BERT), a novel model for visual grounding that can learn joint representations of image content and natural language.
Now, researchers from the Victoria University of Wellington School of Engineering and Computer Science have introduced the HSIC (Hilbert-Schemidt independence criterion) bottleneck as an alternative to backpropagation for finding good representations.
Not so long ago, mathematics students and researchers had to spend a tedious amount of time writing out equations in the technical and scientific documentation typesetting system LaTeX.
PyTorch v1.2 brings the machine learning community further improvements, including official support for Transformer, TensorBoard, and more.
Thanks to social video app Kuaishou and its plug-and-play tools, even rural Chinese with cheap smartphones are quickly and easily producing short videos featuring Hollywood-style special effects.
Synced Global AI Weekly August 11st
Frame-by-frame fine-grained labeling is however a time-consuming task. To tackle this problem, researchers from Google AI and DeepMind have introduced a novel self-supervised learning method called Temporal Cycle-Consistency Learning (TCC).
Researchers have proposed a new adversarial attack approach, SemanticAdv, which generates adversarial perturbations by manipulating not pixels but rather an image’s semantic attributes.
What if an AI could learn to play Chess based only on human game commentary? That interesting task has been tackled by SentiMATE, a new Chess algorithm proposed by University College London.
Last month a team of South Korean researchers proposed a method that uses unsupervised image translation to transform a simple selfie into a classic Japanese-style anime face.
In a bid to combine anime and cartoon culture with machine learning, a research team from China’s leading video streaming service iQIYI has introduced a novel large unconstrained cartoon dataset they call “iCartoonFace.”
KDD 2019 features both a Research track and an Applied Data Science (ADS) track, and today organizers announced their Best Paper Awards.
Because training deep learning models requires intensive computation, AI researchers are always on the lookout for new and better hardware and software platforms for their increasingly sophisticated models.
Recently, Facebook AI Research (FAIR) researchers introduced a structured memory layer which can be easily integrated into a neural network to greatly expand network capacity and the number of parameters without significantly changing calculation cost.
A group of researchers from ETH Zurich have introduced a robotic system that can perform animation of real-world string puppets, aka marionettes.
The ACL 2019 organizing committee announced its eight paper awards: Best Long Paper, Best Short Paper, Best Demo Paper, and five Outstanding Paper awards.
Today, respected scientific journal Nature boosted the case for AGI with a cover story on a new research paper, Towards artificial general intelligence with hybrid Tianjic chip architecture, which aims to stimulate AGI development by adopting generalized hardware platforms.
Today, the research division of the Chinese search giant released their updated ERNIE 2.0, a pretrained language understanding model with significant improvements.
A research team from Julia Computing and the Massachusetts Institute of Technology propose that extensive scientific computing and machine learning domains both require linear algebra support on their underlying structures.
This paper presents a new large-scale multilingual video description dataset, covering over 41,250 videos and 825,000 captions in both Chinese and English.
The new AI-powered Animate feature on Meitu’s signature selfie app brings still pictures to life with floral auras, resplendent butterflies, flowing hair, petal bursts, flame nebulas, fireworks and more.
Alibaba’s chip subsidiary Pingtouge (平头哥) yesterday introduced its first product, an RISC-V (Reduced Instruction Set Computer) processor.
Do you dream of Asuna Yuuki? Do you long to escape to a fantasy world with a beautiful anime partner? If so there’s a new artificial intelligence system just for you — the “Waifu Vending Machine” can create a highly customized anime companion in minutes.
Since Google Research introduced its Bidirectional Transformer (BERT) in 2018 the model has gained unprecedented popularity among researchers. Now, a group of researchers from the National Cheng Kung University Tainan in Taiwan are challenging BERT’s efficacy.
Google researchers have introduced a new face detection framework called BlazeFace, adapted from the Single Shot Multibox Detector (SSD) framework and optimized for inference on mobile GPUs.
Researchers from UC Berkeley and the Universities of Washington and Chicago have released a set of natural adversarial examples, which they call “ImageNet-A.”
Researchers from Carnegie Mellon University and Google Brain have now proposed an unsupervised data augmentation (UDA) technique that significantly improves semi-supervised learning (SSL) by conducting data augmentation on unlabeled data.
The developers behind TabNine have introduced a new deep learning model, “Deep TabNine,” which significantly improves suggestion quality.
Researchers from Baidu Research, the University of Michigan, and the University of Illinois at Urbana-Champaign have published a method for generating adversarial objects that can befuddle the LiDAR point cloud and compromise security in vehicles using the tech.
Two years ago Elon Musk launched a company called Neuralink. Musk already leads high-profile companies including Tesla, SpaceX, and Hyperloop, but Neuralink may be the 48 year-old entrepreneur’s most ambitious plan yet: to surgically connect human brains with artificial intelligence through an ultra high bandwidth brain-machine interface.
he rapid development of AI models such as variational autoencoders (VAE) and generative adversarial networks (GAN) that can generate audio, images and video has opened a Pandora’s box of digital fakery.
Have you ever shot a perfect video only to have it spoiled by an unsightly pedestrian, truck or other moving object passing through the frame? Although most people know how to crop or photoshop their photos to remove unwanted stuff, doing so with video is another matter entirely.
Carnegie Mellon University researchers have made another leap in the field with their Joint Language-to-Pose (JL2P) model, which generate animations from text input via a joint multimodal space comprising language and poses.