1496 stories tagged AI · page 57 of 63
OpenAI has teamed up with Infosys to integrate its AI tools into enterprise workflows. The partnership aims to modernize software development, automate processes, and deploy AI systems across various industries.
A new study highlights how AI agents can be misled by adversarial environments that manipulate tool outputs. The research introduces the concept of Adversarial Environmental Injection (AEI) to formalize this security risk.
Google Maps is introducing generative AI features at Cloud Next 2026, enhancing its visual and data analytics capabilities. This update aims to revolutionize how users interact with the mapping platform.
Google Cloud has signed a multi-billion-dollar agreement with Mira Murati's Thinking Machines Lab for AI infrastructure using Nvidia's GB300 chips. This deal underscores the growing collaboration between tech giants and independent AI labs.
Researchers introduce a hybrid AI and Lean 4 framework for formally verified patent analysis. This approach promises to replace slow manual methods and opaque ML models with machine-checkable certificates.
Sen. Elizabeth Warren has drawn striking parallels between the current AI boom and the pre-2008 financial crisis. She urges regulators to act before it's too late. Warren's warnings highlight the potential for AI-driven economic instability.
An AI-driven startup has successfully overturned thousands of denied health insurance claims. The company leverages machine learning to analyze claim denials and identify grounds for appeal, with notable support from Mark Cuban.
OpenAI has launched GPT Image 2, a new AI model capable of generating high-quality images from text prompts. The model represents a significant leap in AI-driven image creation.
Researchers introduce CFMS, the first fine-grained multimodal sarcasm dataset for Chinese social media. It includes 2,796 image-text pairs with triple-level annotations, advancing research in sarcasm detection.
Anthropic has received a $5 billion investment from Amazon, committing to spend $100 billion on AWS services in return. This deal underscores the growing interdependence between AI startups and cloud providers.
Alibaba has released an early preview of Qwen3.6-Max-Preview, showcasing enhanced agentic coding, stronger world knowledge, and improved real-world reliability. This model represents a significant leap forward in AI capabilities.
Researchers introduce a structured reasoning scaffold for LLMs that separates abduction, deduction, and induction. The framework improves logical consistency by enforcing five algebraic invariants.
A new position paper challenges the prevailing view of LLM reasoning as a chain of thought, proposing instead that it should be studied as latent-state trajectory formation. This shift could redefine how we evaluate and interpret AI reasoning.
Researchers introduce GIST, a new model that enhances spatial grounding in densely packed environments. The model addresses challenges faced by Vision-Language Models (VLMs) in cluttered spaces like retail stores and hospitals.
Researchers propose a framework to unify memory, skills, and rules in LLM agents, addressing the challenge of managing accumulated experience. The study highlights a lack of cross-community collaboration in the field.
DeepMind has outlined key pitfalls in AI agent development, highlighting risks like goal misalignment and reward hacking. The findings stress the need for robust safety measures in autonomous systems.
DeepER-Med introduces AI agents that enhance evidence-based medical research by improving transparency and trustworthiness. The system integrates multi-hop information retrieval and reasoning to accelerate scientific discovery while mitigating errors.
Canada's Federal AI Register, launched in 2025, is more than a transparency tool—it actively shapes accountability. A new study reveals its limitations and biases in tracking AI systems. The register omits key details, raising questions about its effectiveness.
Uber's CTO admits the company is struggling to justify further AI investments despite spending $3.4 billion. The slowdown highlights the challenges of scaling AI initiatives in a tight economic climate.
Researchers introduce Tide, a method for optimizing LLM inference by allowing early exits at the token level. This could significantly reduce computational costs for AI applications.
The 2026 AI stack highlights the leading models and tools shaping the industry. This edition includes major players like OpenAI, Anthropic, and new entrants like Mistral AI.
A new open-source project called Rigor aims to prevent AI services from degrading over time. It acts as a proxy for OpenCode and Claude Code, grounding projects in an epistemic graph with LLM-based evaluation.
PCMind offers local AI analysis for various data types without cloud dependency. It supports multiple languages and provides real-time insights on personal devices.
Nvidia's focus on AI has alienated its core gaming community, with gamers expressing frustration over GPU shortages and prioritization. The company faces a delicate balancing act between its lucrative AI business and traditional gaming market.