Google DeepMind Shakeup: Jeff Dean Steps Down
Google has overhauled its AI unit DeepMind; chief scientist Jeff Dean is departing while Demis Hassabis steps back to focus on longer-term research.
Google has overhauled its AI unit DeepMind; chief scientist Jeff Dean is departing while Demis Hassabis steps back to focus on longer-term research.
Google introduced an option to disable the visible watermark on images, videos, and songs generated with Nano Banana, Omni, and Lyria models. The invisible SynthID watermark and C2PA metadata remain unchanged.
Amazon Web Services announced a method for sending telemetry to the AgentCore Observability dashboard from AI agents running outside AWS.
AWS announced an architectural approach that lets developers combine custom SageMaker AI models with Bedrock models in multi-agent architectures. The new setup delivers a single production architecture via the Bedrock AgentCore runtime.
AWS published a technical guide explaining how to design custom reward functions for multi-turn reinforcement fine-tuning on Amazon Nova Forge.
MIT Technology Review's interviews with teens aged 10-18 reveal a wide range of reactions to AI, from indifference to environmental concern.
Police technology company Flock is tightening search rules after backlash over misuse of its cameras. The company is expanding case number requirements and automated audit systems.
Google's new Gemini-powered Sheets canvas feature lets users turn spreadsheet data into interactive dashboards and mini apps without writing code.
Researchers demonstrated that a multimodal system based on YOLO and CLIP can distinguish infected mosquitoes from video footage with high accuracy.
Researchers developed a framework called SEAG that hides sensitive information before it is sent to third-party large language models. The system answers user queries accurately without exposing hidden data.
A new study by Xin Shu, Zhen Lei, and Ang Li proposes tighter bounds than existing ones for multivalued probabilities of causation.
A new academic study finds that large language models (LLMs) used as judges frequently reverse their verdicts when faced with persistent pushback.