voice agents are only as good as what they hear. @angelos_peri leads speech-to-text research engineering at @ElevenLabs
, working across Scribe v2 and Scribe v2 Realtime. and he joins @raais 2026 in London on June 12!
RESEARCH
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Voice agents rely on speech-to-text; ElevenLabs at RAIS 2026
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Principaux articles IA de la semaine (24-31 mai)
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The Top AI Papers of the Week (May 24 – May 31) – SkillOpt
– AutoScientists
– The Efficiency Frontier
– Language Models Need Sleep
– Adapting the Interface, Not the Model
– Forecasting Scientific Progress with AI
– Compiling Agentic Workflows into Weights Read on for more: -
Deep Learning Detects Acute Ischemic Stroke
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Acute Ischemic Stroke Detected by Deep Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #HealthTech #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Can AI See and Hear Simultaneously?
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Can AI truly see and hear together? Researchers from NUS, Oxford, University of Toronto, and Microsoft Research present a comprehensive survey on Audio-Visual Intelligence. They unify the fragmented field of large foundation models that combine sound and vision—from speech.
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AI capabilities outpace measurement, says Snorkel AI CEO
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“Our ability to do stuff with AI has significantly outpaced our ability to measure capabilities,” says @ajratner, CEO of Snorkel AI.
— Snorkel AI (@SnorkelAI) 31 mai 2026
Alex recently joined the @chain_ofthought podcast with @ConorBronsdon to talk all things frontier AI.
Watch the full conversation covering the… pic.twitter.com/cQZkRoY16i“Our ability to do stuff with AI has significantly outpaced our ability to measure capabilities,” says @ajratner
, CEO of Snorkel AI. Alex recently joined the @chain_ofthought podcast with @ConorBronsdon to talk all things frontier AI. Watch the full conversation covering the -
Anthropic plans consumer and bioscience expansion with new features
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Anthropic is planning to further expand into the consumer and bioscience sectors. The biggest things to watch for – Conway agent
– Orbit assistant
– Knowledge-based memory
– Multilingual Voice Mode
– Operon for bioscience researchers and more! Which one do you think will -
Token-level SSL vs Latent Prediction for Recursive Hierarchy Learning
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The key distinction: Token-level SSL asks the model to recover hierarchy through the leaves. Latent prediction lets the model climb the hierarchy recursively. Once one abstraction level is learned, it becomes supervision for the next.
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Token-level SSL vs Latent Prediction: Climbing Abstraction Hierarchies
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The key distinction: Token-level SSL asks the model to recover the hidden tree through the leaves. Latent prediction lets the model climb the tree. Once one abstraction level is learned, it becomes the substrate for learning the next.
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New paper on sample-complexity theory for data-efficiency gap
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The data-efficiency gap between machines and children may not be solved by “more tokens.” It may be solved by changing what the model is asked to predict. A beautiful new paper by Daniel J. Korchinski, Alessandro Favero, and Matthieu Wyart gives a sample-complexity theory for a
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AI memory shifts from retrieval to compilation with LLM Wiki
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RAG is already becoming the “old way” The future of AI memory is not retrieval.
It’s compilation. Here’s the shift in one sentence: From searching information To structuring knowledge The new model? LLM Wiki Instead of: Chunking documents Running similarity