InfoQ Homepage Machine Learning Content on InfoQ
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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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TensorFlow Similarity Supports Fast Query Search Index on Pre-trained Models
Francois Chollet and his team recently released a Python library for TensorFlow, called TensorFlow Similarity. Similarity learning is the process of finding similar items, from similar clothes in images to person identification using face pictures. Deep-learning models have used a method called contrastive learning to increase accuracy and efficiency in learning similarity between images.
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Amazon QuickSight Q: Answers to Business Intelligence Questions
Amazon recently announced the general availability of QuickSight Q, a natural language query tool for the enterprise edition of the managed business intelligence service QuickSight.
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Stanford Research Center Studies Impacts of Popular Pretrained Models
Stanford University recently announced a new research center, the Center for Research on Foundation Models (CRFM), devoted to studying the effects of large pretrained deep networks (e.g. BERT, GPT-3, CLIP) in use by a surge of machine-learning research institutions and startups.
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Dedicated ML Track at QCon Plus Nov: Learn All about the Latest ML Innovations
Dio Synodinos, president of C4media (creators of InfoQ and QCon), recently spoke with Frank Greco, senior technology consultant, chairman at NYJavaSIG, and QCon Plus November 2021 committee member, to discuss the topics and tracks he’s looking forward to attending this November at QCon Plus online software conference.
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Pinecone 2.0 Aims to Bring Vector Similarity Search to Production
Pinecone recently introduced version 2.0 of its vector similarity search solution aiming to make it easier for companies to build recommendation systems, image search, and similar applications. InfoQ has taken the chance to speak with Edo Liberty, founder and CEO of Pinecone.
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MLOps: Continuous Delivery of Machine Learning Systems
Developing, deploying, and keeping machine learning models productive is a complex and iterative process with many challenges. MLOps means combining the development of ML models and especially ML systems with the operation of those systems. To make MLOps work, we need to balance iterative and exploratory components from data science with more linear software engineering components.
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Oracle Introduces MySQL Autopilot with Machine-Learning Capabilities for MySQL Heatwave
Oracle released updates to its MySQL HeatWave service earlier this month. The new MySQL Autopilot feature uses machine learning to automate database provisioning and optimisation tasks, making recommendations and query optimisations based on each database’s usage patterns.
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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.
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Google Introduces Unattended Project Recommender to Cut Cloud Costs
Recently Google introduced unattended project recommender, a new feature of Active Assist that provides customers with a one-stop shop for discovering, reclaiming, and shutting down unattended projects. In addition, the feature includes actionable and automatic recommendations to reduce costs or mitigate security risks presented by idle resources.
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Machine Learning Technologies at Tokyo 2020 Olympics
National Olympic teams are using machine learning to gain an edge in competition over their opponents at the Tokyo Olympic Games 2020. Machine learning technologies are being used at the international sports event from athlete data tracking, coaches’ real-time feedback that can tell athletes when to train and when to stop, to predicting sports injuries with algorithms.
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BasisAI Open Source Boxkite Machine Learning Monitoring Tool
Boxkite is an open source instrumentation library designed to track concept drift in highly available model servers. It integrates with DevOps tools such as Grafana, Prometheus, fluentd and kubeflow, scaling horizontally to multiple replicas without needing changes to code or infrastructure. The project claims to be fast, correct and simple.
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Ferrari Chooses AWS Machine Learning for Racing and Road Operations
Ferrari will use AWS machine learning, analytics, and compute capabilities across the organization, including the Formula One team Scuderia Ferrari.
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AWS Announces the General Availability of Amazon HealthLake
Recently AWS announced the general availability of Amazon HealthLake, a fully-managed, HIPAA-eligible service. With the service, healthcare providers, health insurance-, and pharmaceutical companies can securely store, transform, query, and analyze health data.
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QCon Plus November 2021 is Now Hybrid. Attend Online and In-Person (NY & SF)
The QCon Plus software development conference will be back November 1-5, 2021 - online and in-person. Get the chance to engage and network with professionals driving change and innovation inside the world’s most innovative software organizations.