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Google announced five new commitments to reduce the environmental impact of its AI data centers, including a goal to replenish more water to local communities than it uses. This move aims to address growing backlash over the massive water consumption of AI infrastructure across the US.
NVIDIA's Nemotron 3.5 ASR model can now be fine-tuned for specific languages, accents, or domains. This makes it more accurate for specialized applications like medical or legal transcription.
Endava is integrating AI agents like ChatGPT Enterprise and Codex into their software development process. This shift is making workflows faster and more efficient, setting a new standard for AI-native enterprises.
Researchers have extended Direct Preference Optimization (DPO) to improve AI models beyond just chatbots. This could make AI assistants more helpful and safer across various applications. Researchers open-sourced the code, making it accessible to developers and researchers worldwide.
ChatGPT now has a 'Dreaming' feature that helps it remember your preferences better by reviewing past interactions when idle. This makes interactions more personal and relevant over time. The feature is gradually rolling out to all users, starting with Plus and Enterprise.
Researchers created a benchmark to test if AI agents can handle the labor-intensive task of curating training data for other AI systems. This could drastically speed up AI development by automating a key bottleneck.
Amazon has upgraded its warehouse robot, Proteus, to understand and respond to human language. This shift toward more intuitive automation could change how warehouses operate and interact with human workers.
Amazon’s updated search bar now displays AI-generated images of products as you describe them. This feature currently works for clothing and home goods, helping you find similar items even if the exact product isn’t available.
Researchers found that AI tools are changing how mathematicians formalize and verify proofs. These tools make it easier for humans to turn abstract ideas into machine-checked proofs, speeding up the process significantly.
Researchers argue that disagreements among AI systems might reveal important normative uncertainties, not just errors. They propose a knowledge-representation layer that abstracts reasoning traces and decisions into symbolic disagreement states for value-laden tasks.
ZeroDrift has raised $10 million to develop a service that monitors AI responses in real-time. The tool ensures AI models stay compliant and avoid problematic outputs, acting as a safety net for businesses using AI.
AI systems often act without proper authorization or evidence, a problem called 'compliance bias'. Researchers propose new ways to evaluate when AI should abstain from actions. This could make AI safer and more reliable in real-world use.
President Trump signed an executive order creating a voluntary framework for AI companies to share their frontier models with the federal government before public release. The order aims to promote secure innovation and strengthen the cybersecurity of critical infrastructure.
A new study proposes Visual Graph Scaffolds, a method that uses graph structures to improve the reasoning of large language models (LLMs). Unlike prior approaches that treat graphs as external data sources, this technique integrates graphs directly into the model's reasoning process, inspired by how humans use mind maps to organize complex thoughts. The method showed significant improvements on multi-hop question answering tasks.
OpenAI released six specialized plug-ins for its Codex app, each targeting a specific white‑collar role: data analytics, creative production, sales, product design, equity investing, and investment banking. The tools bundle integrations, instructions, and context so Codex can approximate human‑level job performance.
Nvidia is teaming up with Microsoft, Dell, and HP to bring AI agents to everyday PCs, aiming to capture a significant share of the $200 billion CPU market. This could make advanced AI tools accessible to millions of users without requiring technical expertise.
Researchers created BehaviorBench, a new AI benchmark that uses real-world behavioral data to test how well AI systems can personalize decisions. This could lead to more tailored AI assistants that understand individual preferences better.
Researchers created IdiomX, a large-scale test for AI to understand and translate idioms. This could help AI communicate more naturally in different languages. Idioms are tricky because their meanings aren't always literal.
Researchers proposed a modular design for AI agents that could run on small, low-power devices like sensors or wearables. This could enable smart assistants and automation in places where bulky computers aren't practical.
Microsoft introduced MAI-Thinking-1, its first in-house AI model designed for advanced reasoning. This marks a significant step as Microsoft moves away from relying solely on OpenAI's technology.
Microsoft has launched Scout, an AI assistant built on OpenClaw and integrated into Microsoft 365 apps. It helps businesses assign virtual assistants to employees for tasks like organizing calendars, drafting emails, and expense reporting.
At Microsoft's annual Build conference, the company announced a slew of new or expanded AI initiatives, including a super app, in-house reasoning models, a cybersecurity tool, and AI agents. The message is clear: Microsoft is positioning itself as a major independent AI player, ready to compete directly with its former partner OpenAI.
OpenAI's GPT-Rosalind now has enhanced biological reasoning, medicinal chemistry expertise, genomics analysis, and experimental workflow capabilities. This helps scientists analyze genomes and design experiments faster, accelerating drug discovery and genetic studies.
Google has launched a new feature to detect and warn users about AI-generated deepfake calls. This tool helps protect people from scammers impersonating trusted contacts using AI voice cloning.