AI News Center — Page 3

Browse more AI articles from our archive. In‑depth insights and practical updates from the world of AI.

LATEST HEADLINES

Should AI Get Legal Rights?(WIRED - AI)Imagining the future of banking with agentic AI(MIT Technology Review - AI)The Download: unnerving AI avatars, and Trump’s climate gift to China(MIT Technology Review - AI)Transforming CX with embedded real-time analytics (MIT Technology Review - AI)Expanding economic opportunity with AI(OpenAI News)Synthesia’s AI clones are more expressive than ever. Soon they’ll be able to talk back.(MIT Technology Review - AI)AI Security Takes Center Stage at Black Hat USA 2025(O'Reilly Media - AI & ML)This Robot Only Needs a Single AI Model to Master Humanlike Movements(WIRED - AI)Looking Forward to AI Codecon(O'Reilly Media - AI & ML)The Download: sustainable architecture, and DeepSeek’s success(MIT Technology Review - AI)The connected customer(MIT Technology Review - AI)Building the AI-enabled enterprise of the future(MIT Technology Review - AI)The Download: therapists secretly using AI, and Apple AirPods’ hearing aid potential(MIT Technology Review - AI)What health care providers actually want from AI(MIT Technology Review - AI)Spiritual Influencers Say ‘Sentient’ AI Can Help You Solve Life’s Mysteries(WIRED - AI)

Our Original Articles & Expert Insights

Screenshot of CoDA-1.7B: The Quantum Leap in AI Code Generation You Need to Know About

CoDA-1.7B is a groundbreaking AI model from Salesforce that uses discrete diffusion for faster and more accurate code generation, promising to revolutionize software development. Developers can now build software more efficiently and…

CoDA-1.7B
Salesforce AI Research
code generation
Screenshot of Agentic Design: Mastering Parlant for Human-Centered AI Agent Development
Agentic AI, powered by platforms like Parlant, is revolutionizing how we interact with technology by creating proactive, autonomous agents. Learn how to use human-centered design principles with Parlant to build adaptable, intelligent AI agents that solve complex problems and anticipate user needs.…
agentic design
AI agents
Parlant
Screenshot of Voice Agent Mastery: A Complete Guide to Evaluation Beyond ASR and WER

Evaluating voice agents requires more than just transcription accuracy; focus on task success, interaction quality, and robustness to build truly helpful systems. Ditch outdated ASR/WER metrics and embrace a user-centric approach to…

voice agent evaluation
conversational AI testing
ASR WER limitations
Screenshot of Unsupervised Speech Enhancement Revolution: A Deep Dive into Dual-Branch Encoder-Decoder Architectures

Unsupervised speech enhancement is revolutionizing audio processing, offering adaptable noise reduction without the need for labeled data. The dual-branch encoder-decoder architecture significantly improves speech clarity, leading to…

speech enhancement
unsupervised learning
dual-branch encoder-decoder
Screenshot of Transformer Regression: A Practical Guide to Predicting Continuous Values from Text

Transformer regression models are revolutionizing the prediction of continuous values from text, offering more nuanced insights than traditional classification methods. This guide provides a practical roadmap for building your own…

Transformer regression
text regression
continuous value prediction
Screenshot of TUMIX Unveiled: Mastering Multi-Agent Tool Use for Scalable AI
TUMIX, a novel framework from Google, tackles scalability challenges in multi-agent AI systems by dynamically assigning tools to agents based on expertise. This approach unlocks new levels of efficiency and adaptability, promising a future where AI systems can collaboratively solve complex…
TUMIX
Multi-Agent Systems
Tool Use
Screenshot of Regression Language Models: Predicting AI Performance Directly from Code
Regression Language Models (RLMs) are revolutionizing AI development by predicting model performance directly from code, enabling faster iteration and optimized resource allocation. By using RLMs, developers can proactively identify bottlenecks and improve AI efficiency before deployment. Explore…
Regression Language Models
RLM
AI model performance prediction
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