InfoQ Homepage Artificial Intelligence Content on InfoQ
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Meta AI’s Convolution Networks Upgrade Improves Image Classification
Meta AI released a new generation of improved Convolution Networks, achieving state-of-the-art performance of 87.8% accuracy on Image-Net top-1 dataset and outperforming Swin Transformers on COCO dataset where object detection performance is evaluated. The new design and training approach is inspired by the Swin Transformers model.
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Evaluating Continual Deep Learning: a New Benchmark for Image Classification
Continual learning aims to preserve knowledge across deep network training iterations. A new dataset entitled "The CLEAR Benchmark: Continual LEArning on Real-World Imagery" has recently been published. The goal of the study is to establish a consistent image classification benchmark with the natural time evolution of objects for a more realistic comparison of continual learning models.
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Meta Unveils AI Supercomputer for the Metaverse
Meta has unveiled its AI Research SuperCluster (RSC) supercomputer, aimed at accelerating AI research and helping the company build the metaverse. The RSC will help the company build new and better AI models, working across hundreds of different languages, and to develop new augmented reality tools.
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How AI Supports IT Operators to Resolve Issues Faster and Keep Systems Running
AIOps is all about equipping IT teams with algorithms that can help in quicker evaluation, remediation or actionable insights based on their historical data without the need to solicit feedback from users directly. AI can help IT operators to work smart, resolve issues faster and keep the systems up and running to deliver great end-user experience.
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AI Listens by Seeing as Well
Meta AI released a self-supervised speech recognition model that also uses video and achieves 75% better accuracy for some amount of data than current state-of-the-art models. This new model, Audio-Visual Hidden BERT (AV-HuBERT), uses audiovisual features for improving models based only on hearing speech. Visual features used are based on lip-reading, similar to what humans do.
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Microsoft Announces the General Availability of NDm A100 v4 Series Virtual Machines
Recently, Microsoft announced the general availability (GA) of a brand-new virtual machine (VM) series in Azure, the NDm A100 v4 Series - featuring NVIDIA A100 Tensor Core 80 GB GPUs. This high-performance computing (HPC) VM is designed to deliver high performance, scalability, and cost efficiency for various real-world HPC workloads.
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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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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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Microsoft Releases Azure Open AI Service Including Access to Powerful GPT-3 Models
At its recent Ignite conference, Microsoft announced the new Azure OpenAI Service in preview, allowing access to OpenAI’s API through the Azure platform. This new Azure Cognitive Service will give customers access to OpenAI’s powerful GPT-3 models, along with security, reliability, compliance, data privacy, and other enterprise-grade capabilities available through the Azure platform.
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Lowering Recovery Time through AI-Enabled Troubleshooting
Machine learning algorithms for anomaly detection can assist DevOps in daily working routines, where generalized ML models are trained and applied to detect hidden patterns and identify suspicious behaviour. Applied machine learning for IT-operations (AIOPs) is starting to move from research environments to production environments in companies.
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Intel Loihi 2 and Lava Framework Aim to Advance Neuromorphic Computing Research
Intel introduced its second-generation neuromorphic chip, Loihi 2, with the aim to provide tools for research in the field of neuromorphic computing. In addition, Intel has released Lava, a software framework to build neuromorphic apps both on conventional and neuromorphic hardware.
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GitHub's Copilot Still a Long Way From Autopilot
Three months after GitHub launched Copilot, a group of academics affiliated with New York University's Tandon School of Engineering released their empirical cybersecurity evaluation of Copilot’s code contributions, concluding that 40% of the time, the code created is buggy and vulnerable.
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Tesla Introduces D1 Dojo Chip to Train AI Models
Tesla introduced the Tesla D1, a new chip designed specifically for artificial intelligence that is capable of delivering a power of 362 TFLOPs in BF16 / CFP8.
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OpenAI Releases Triton, Python-Based Programming Language for AI Workload Optimization
OpenAI released their newest language, Triton, an open-source programming language that enables researchers to write highly efficient GPU code for AI workloads. Triton is Python-compatible and allows new users to achieve expert-quality results in only 25 lines of code. The code is written in Python using Triton’s libraries, which are then JIT-compiled to run on the GPU.
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AWS Announces Amazon Transcribe Call Analytics API for Conversation Insights
Recently, AWS announced Amazon Transcribe Call Analytics, a new feature of Amazon Transcribe. AWS customers can extract valuable insights from customer conversations like customer and agent sentiment, and conversation characteristics such as non-talk time, interruptions, loudness, and talk speed with this new feature.