InfoQ Homepage Artificial Intelligence Content on InfoQ
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Microsoft Unveils VALL-E, a Game-Changing TTS Language Model
Microsoft has introduced VALL-E, a novel language model method for text-to-speech synthesis (TTS) that employs audio codec codes as intermediate representations and can replicate anyone's voice after listening to just three seconds of audio recording.
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Doordash Introduces ML to Understand the Marketplaces Status
DoorDash introduces an ML model to predict the operational status of a store in order to increase the user experience and save thousands of orders cancellation. Understanding the merchant’s operational status and the ability to receive and fulfill orders is crucial for the DoorDash platform.
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GitHub Releases Copilot for Business amid Ongoing Legal Controversy
GitHub has announced Copilot for Business, a business plan for their OpenAI-powered coding assistant Copilot. The release follows a recent class action lawsuit against Microsoft, GitHub, and OpenAI for violating open-source licenses.
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eBay New Recommendations Model with Three Billion Item Titles
eBay developed a new recommendations model based on Natural Language Processing (NLP) techniques and in particular on BERT model. This new model, called “ranker,” uses the distance score between the embeddings as a feature; in this way the information in the titles of the products is analyzed from the semantic points of view.
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Unskilled Cybercriminals May Be Leveraging ChatGPT to Create Malware
In a recent report, Israeli cybersecurity company Check Point warned that cybercriminals are already using ChatGPT to develop malicious programs on the Dark Web. According to Check Point, ChatGPT makes it possible for even unskilled threat actors to create functioning malware.
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Google AI Unveils Muse, a New Text-to-Image Transformer Model
Google AI released a research paper about Muse, a new Text-To-Image Generation via Masked Generative Transformers that can produce photos of a high quality comparable to those produced by rival models like the DALL-E 2 and Imagen at a rate that is far faster.
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Waymo Developed Collision Avoid Test to Evaluate Its Autonomous Driver
Waymo developed a testing framework called Collision Avoidance Test (CAT) to evaluate the ability to avoid crush or potential hazard situations of its Waymo Driver, compared to a human driver.
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Microsoft Brings Its Cloud Services and AI to the Edge
Microsoft recently announced the open-source release of Azure DeepStream Accelerator (ADA) in collaboration with Neal Analytics and NVIDIA, allowing developers to build Edge AI solutions with native Azure Services integration quickly.
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Meta Releases data2vec 2.0 a High Efficiency Self-Supervised Model
Meta has released version 2.0 of Data2Vec, a self-supervised algorithm that can learn in the same way from three different modalities: speech, vision, and text, and achieves the same accuracy of the other computer vision models but 16x faster. The code and pretrained models are also shared with the other researchers.
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OpenAI Unveils a Powerful, Cost-Effective, and User-Friendly Embedding Model
OpenAI is introducing text-embedding-ada-002, a cutting-edge embedding model that combines the capabilities of five previous models for text search, text similarity, and code search. This new model outperforms the previous most capable model, Davinci, on most tasks, while being significantly more cost-effective at 99.8% lower pricing.
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Wayve's End-to-End Deep Learning Model for Self-Driving Cars
Wayve released a state-of-the-art end-to-end model for learning a world model and vehicular driving policy based on simulation data from CARLA, allowing autonomy to cars without HD maps. Wayve’s new Model-based Imitation Learning (MILE) is a machine-learning model, specifically a reinforcement learning architecture, that learns a model of the world and a driving policy during offline training.
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Meta MultiRay Allows Efficiency on Large-Scale AI Models
Meta developed MultiRay, a platform that allows the cost-effective running state-of-the-art machine learning models. MultiRay allows models to run on the same input in order to share the majority of the running cost with a little addictive cost per model.
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Instagram Notification Management Now Uses Causal Inference Instead of Click-through Rate
Instagram has changed the way of creating notifications, moving from CTR to causal inference and ML models to identify highly active users who are likely to receive the notifications.
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AWS Researchers Propose a Method That Predicts Bias in Face Recognition Models Using Unlabeled Data
AWS researchers presented a novel method for evaluating bias in face recognition algorithms, which does not require data with identity annotations. The tests show that, despite the method's limitation to estimating a model's performance on data from various demographic groups, those estimates are reliable enough to identify performance discrepancies that are indicative of bias.
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Microsoft Introduces New UI Experience for Trying out Computer Vision with Vision Studio
Microsoft recently introduced a new User Interface (UI) for developers called Vision Studio to try its Computer Vision API.