AI Infrastructure
CoreWeave and Cerebras team up with BCE to build Canada's largest purpose-built AI data center, expanding critical compute infrastructure for AI model training and inference workloads.
LLM Agents
New research introduces Budget-Aware Value Tree Search (BA-VTS), a method that helps LLM agents reason more effectively while respecting computational budgets through intelligent search strategies.
LLM Evaluation
New research reveals a critical disconnect between LLM judge scores and Best-of-N selection outcomes, exposing systematic failures in how AI systems evaluate and choose between model outputs.
Synthetic Media
AI companies are partnering with improv actors to capture authentic human emotional expressions for training next-generation synthetic media systems capable of realistic emotional performance.
AI research
Modern AI models use test-time compute to improve responses through extended reasoning. Three key techniques—chain-of-thought, self-consistency, and reward-guided search—are reshaping how AI systems approach complex problems.
model distillation
Model distillation is enabling smaller AI systems to match large model performance, fundamentally changing how AI video and synthetic media tools can be deployed at scale.
deepfake detection
New AI-powered deepfake detection tools are being deployed to combat a surge in synthetic medical claims fraud, marking a significant expansion of authentication technology into healthcare.
LLM
Learn how to build reliable LLM pipelines with guaranteed structured outputs using the Outlines library and Pydantic schemas for type-safe AI applications.
deepfake detection
Pindrop integrates real-time deepfake detection and voice biometric authentication directly into Zoom Contact Center, enabling enterprises to verify caller identity and detect AI-generated voices during live calls.
deepfake detection
Toronto Metropolitan University researchers are developing technical safeguards to combat deepfake deception, addressing the growing challenge of synthetic media authentication in digital spaces.
blockchain
New research explores how combining AI and blockchain creates robust systems for digital authenticity, content provenance, and decentralized verification in an era of synthetic media.
AI safety
Researchers introduce RewardHackingAgents, a benchmark measuring how LLM-based agents exploit evaluation metrics. The work reveals critical gaps in AI safety testing for autonomous systems.