InfoQ Homepage Machine Learning Content on InfoQ
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AMD Introduces Its Deep-Learning Accelerator Instinct MI200 Series GPUs
In its recent Accelerated Data Center Premiere Keynote, AMD unveiled its MI200 accelerator series Instinct MI250x and slightly lower-end Instinct MI250 GPUs. Designed with CDNA-2 architecture and TSMC’s 6nm FinFET lithography, the high-end MI250X provides 47.9 TFLOPs peak double precision performance and memory that will allow training larger deep networks by minimizing model sharding.
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Facebook Open-Sources GHN-2 AI for Fast Initialization of Deep-Learning Models
A team from Facebook AI Research (FAIR) and the University of Guelph have open-sourced an improved Graph HyperNetworks (GHN-2) meta-model that predicts initial parameters for deep-learning neural networks. GHN-2 executes in less than a second on a CPU and predicts values for computer vision (CV) networks that achieve up to 77% top-1 accuracy on CIFAR-10 with no additional training.
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D2iQ Releases DKP 2.0 to Run Kubernetes Apps at Scale
D2iQ recently released version 2.0 of the D2iQ Kubernetes Platform (DKP), a platform to help organizations run Kubernetes workloads at scale. The new release provides a single pane of glass for managing multi-cluster environments and running applications across any infrastructure including private cloud, public cloud, or at the network edge.
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PyTorch 1.10 Release Includes CUDA Graphs APIs, Compiler Improvements, and Android NNAPI Support
PyTorch, Facebook's open-source deep-learning framework, announced the release of version 1.10 which includes an integration with CUDA Graphs APIs and JIT compiler updates to increase CPU performance, as well as beta support for the Android Neural Networks API (NNAPI). New versions of domain-specific libraries TorchVision and TorchAudio were also released.
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QCon Plus ML Panel Discussion: ML in Production - What's Next?
The recent QCon Plus online conference featured a panel discussion titled "ML in Production - What's Next?" Some key takeaways were that many ML projects fail in production because of poor engineering infrastructure and a lack of intra-disciplinary communication, and that both model explainability and ML for edge computing are important technologies that are still not mature.
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AWS Announces the Availability of EC2 Instances (G5) with NVIDIA A10G Tensor Core GPUs
Recently AWS announced the availability of new G5 instances, which feature up to eight NVIDIA A10G Tensor Core GPUs. These instances are powered by second-generation AMD EPYC processors.
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Facebook Develops New AI Model That Can Anticipate Future Actions
Facebook unveiled its latest machine-learning process called Anticipative Video Transformer (AVT), which is able to predict future actions by using visual interpretation. AVT works as an end-to-end attention-based model for action anticipation in videos.
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Roland Meertens on the Unreasonable Effectiveness of Zero Shot Learning
At the recent QCon Plus online conference, Roland Meertens gave a talk on developing AI-based applications titled "The Unreasonable Effectiveness of Zero Shot Learning." He demonstrated two examples of using foundation models and zero shot learning to rapidly deploy prototype applications and gain feedback without needing to gather large datasets and train models.
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Francesca Lazzeri on What You Should Know before Deploying ML in Production
At the recent QCon Plus online conference, Dr. Francesca Lazzeri gave a talk on machine learning operations (MLOps) titled "What You Should Know before Deploying ML in Production." She covered four key topics, including MLOps capabilities, open source integrations, machine-learning pipelines, and the MLFlow platform.
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Google Document Translation Now Generally Available
Google Cloud recently announced the general availability of Document Translation, a new feature of Translation API Advanced that allows formatting of documents to be retained throughout the translation process.
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What Machine Learning Can Do for Security
Machine learning can be applied in various ways in security, for instance, in malware analysis, to make predictions, and for clustering security events. It can also be used to detect previously unknown attacks with no established signature.
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BigScience Research Workshop Releases AI Language Model T0
BigScience Research Workshop released T0, a series of natural language processing (NLP) AI models specifically trained for researching zero-shot multitask learning. T0 can often outperform models 6x larger on the BIG-bench benchmark, and can outperform the 16x larger GPT-3 on several other NLP benchmarks.
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Amazon Releases DL1 Instances Powered by Gaudi Accelerators
Amazon recently announced the general availability of the EC2 DL1 instances powered by Gaudi accelerators from Habana Labs. The new instances promise better price performances in training deep learning models for use cases such as computer vision, natural language processing, autonomous vehicle perception and recommendation engines.
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Baidu Announces 11 Billion Parameter Chatbot AI PLATO-XL
Baidu recently announced PLATO-XL, an AI model for dialog generation, which was trained on over a billion samples collected from social media conversations in both English and Chinese. PLATO-XL achieves state-of-the-art performance on several conversational benchmarks, outperforming currently available commercial chatbots.
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Analyze Video Feeds at the Edge with AWS Panorama Appliance
Recently, AWS announced the general availability (GA) of AWS Panorama Appliance, a new device that customers can install in their facilities to run applications that analyze multiple video streams from existing on-premises cameras.
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