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AI News Center — Page 15

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

LATEST HEADLINES

The Download: Google’s AI energy expenditure, and handing over DNA data to the police(MIT Technology Review - AI)Meet the researcher hosting a scientific conference by and for AI(MIT Technology Review - AI)Accelerating life sciences research(OpenAI News)Don’t sleep on Cohere: Command A Reasoning, its first reasoning model, is built for enterprise customer service and more(VentureBeat AI)Inside Walmart’s AI security stack: How a startup mentality is hardening enterprise-scale defense (VentureBeat AI)MIT report misunderstood: Shadow AI economy booms while headlines cry failure(VentureBeat AI)Chan Zuckerberg Initiative’s rBio uses virtual cells to train AI, bypassing lab work(VentureBeat AI)How AI ‘digital minds’ startup Delphi stopped drowning in user data and scaled up with Pinecone(VentureBeat AI)Generative AI in the Real World: Understanding A2A with Heiko Hotz and Sokratis Kartakis(O'Reilly Media - AI & ML)The Download: Ukraine’s Starlink repair shop, and predicting solar storms(MIT Technology Review - AI)In a first, Google has released data on how much energy an AI prompt uses(MIT Technology Review - AI)Meet Wukong, the AI Chatbot China Has Installed on Its Space Station(WIRED - AI)We Are Only Beginning to Understand How to Use AI(O'Reilly Media - AI & ML)Scaling domain expertise in complex, regulated domains(OpenAI News)Enterprise Claude gets admin, compliance tools—just not unlimited usage(VentureBeat AI)

Our Original Articles & Expert Insights

Screenshot of AI's Unconventional Genius: Designing Physics Experiments That Defy Human Intuition

<blockquote class="border-l-4 border-border italic pl-4 my-4"><p>AI is revolutionizing physics by designing experiments that defy human intuition, leading to groundbreaking discoveries. Explore how AI's unconventional approach can accelerate scientific progress and unlock new realms of knowledge.…

AI physics experiments
AI-designed experiments
physics experiment design
Screenshot of AI Red Teaming: A Comprehensive Guide to Tools, Techniques, and Best Practices

<blockquote class="border-l-4 border-border italic pl-4 my-4"><p>AI red teaming is essential for proactively securing AI systems by simulating attacks to uncover vulnerabilities and biases, ultimately building more trustworthy and reliable technology. By understanding red teaming processes like…

AI red teaming
AI security
adversarial AI
Screenshot of HeadsUp AI: Revolutionizing Team Collaboration with Intelligent Meeting Assistance

<blockquote class="border-l-4 border-border italic pl-4 my-4"><p>HeadsUp AI revolutionizes team collaboration by transforming inefficient meetings into productive, focused sessions with AI-powered transcription, summarization, and action item tracking. Teams can benefit from a 20% reduction in…

HeadsUp AI
AI meeting assistant
HeadsUp platform
Screenshot of DeepFleet: Amazon's AI Models for Predicting Robot Traffic – A Deep Dive

<blockquote class="border-l-4 border-border italic pl-4 my-4"><p>Amazon's DeepFleet uses AI to predict robot traffic, optimizing warehouse logistics for faster delivery times and reduced costs. By mastering robotic traffic flow, DeepFleet represents a significant leap forward in robotic automation,…

DeepFleet Amazon
Amazon DeepFleet AI
AI fleet management
Screenshot of Enterprise AI Demystified: 11 Foundational Concepts for Business Leaders

<blockquote class="border-l-4 border-border italic pl-4 my-4"><p>Unlock the transformative potential of AI for your business by understanding foundational concepts, deploying effectively, and ethically governing your AI initiatives. This article demystifies enterprise AI and provides a checklist…

Enterprise AI
AI Deployment
AI Scaling
Screenshot of Smarter AI: Designing Effective Feedback Loops for Large Language Models

Large Language Models (LLMs) are rapidly improving, and this article explains how effective feedback loops are crucial for refining their intelligence and ensuring safe, accurate outputs. By understanding the core components of an LLM feedback loop, such as data collection and model training, you…

LLM feedback loops
AI model training
Reinforcement Learning from Human Feedback (RLHF)
Screenshot of Dots OCR: The New SOTA Vision-Language Model for Multilingual Document Parsing

Dots OCR is a revolutionary vision-language model poised to redefine multilingual document parsing with unprecedented accuracy. By integrating visual understanding and natural language processing, Dots OCR offers businesses improved efficiency and insights through streamlined data extraction and…

dots OCR
vision-language model
multilingual document parsing
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