AI & RoboticsNews

More accurate coding: Researchers adapt Sequential Monte Carlo for AI-generated code

Coding with the help of AI models continues to gain popularity, but many have highlighted issues that arise when developers rely on coding assistants. However, researchers from MIT, McGill University, ETH Zurich, Johns Hopkins University, Yale and the Mila-Quebec Artificial Intelligence Institute have developed a new method for ensuring that AI-generated codes are more accurate and useful. This…
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AI & RoboticsNews

Ocient Raises $42.1 Million for Data Solutions

Hyperscale data warehouse vendor Ocient announced today that it has raised $42.1 million as the second extension of its series B funding to accelerate the development and delivery of energy-efficient solutions for costly and unwieldy operational data and AI workloads. The…
AI & RoboticsNews

Anthropic just analyzed 700,000 Claude conversations — and found its AI has a moral code of its own

Anthropic, the AI company founded by former OpenAI employees, has pulled back the curtain on an unprecedented analysis of how its AI assistant Claude expresses values during actual conversations with users. The research, released today, reveals both reassuring alignment with the company’s goals and concerning edge cases that could help identify vulnerabilities in AI safety measures. The study…
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AI & RoboticsNews

From ‘catch up’ to ‘catch us’: How Google quietly took the lead in enterprise AI

Just a year ago, the narrative around Google and enterprise AI felt stuck. Despite inventing core technologies like the Transformer, the tech giant seemed perpetually on the back foot, overshadowed by OpenAI‘s viral success, Anthropic‘s coding prowess and Microsoft‘s aggressive enterprise push. But witness the scene at Google Cloud Next 2025 in Las Vegas last week: A confident Google, armed…
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AI & RoboticsNews

Google’s Gemini 2.5 Flash introduces ‘thinking budgets’ that cut AI costs by 600% when turned down

Google has launched Gemini 2.5 Flash, a major upgrade to its AI lineup that gives businesses and developers unprecedented control over how much “thinking” their AI performs. The new model, released today in preview through Google AI Studio and Vertex AI, represents a strategic effort to deliver improved reasoning capabilities while maintaining competitive pricing in the increasingly crowded AI…
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