Notre Dame Secures $50.8 Million for AI Ethics
The University of Notre Dame received a $50.8 million grant to develop a faith-based ethical framework for artificial intelligence as regulation lags behind innovation.
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The University of Notre Dame received a $50.8 million grant to develop a faith-based ethical framework for artificial intelligence as regulation lags behind innovation.
Google released a major upgrade to its Gemini Deep Research agent, giving developers access to advanced autonomous research capabilities through the Interactions API. The company also introduced DeepSearchQA, a benchmark for evaluating multi-step web research agents.
DeepMind plans a U.K. AI lab using robotics for research on superconductors, semiconductors, and government AI deployments, expanding UK-US tech collaboration.
Surf has raised $15M led by Pantera to develop Surf 2.0, expand its enterprise AI crypto research tools, and scale its specialized multi-agent analysis platform used by major exchanges.
AI pioneer Yann LeCun is departing Meta after 12 years to launch a new company focused on “advanced machine intelligence,” diverging from the industry’s fixation on large language models.
AI startup Bindwell, founded by two teenage entrepreneurs, secured $6 million in seed funding to design new pesticide molecules in-house using proprietary AI models, shifting away from selling tools to major agrochemical firms.
Microsoft expands its TechSpark initiative through partnerships with TitletownTech and NJ AI Hub, providing AI and high-performance computing tools to accelerate scientific discovery.
A study by the University of Maryland and Microsoft found that Polish outperforms English and other major languages in long-context AI prompts, surprising researchers.
Google executive Ruth Porat told the Fortune Global Forum that AI’s transformative power could help cure cancer within our lifetime, calling it “so much more than a chatbot.”
A revolutionary computing approach based on quantum mechanics that can process information at unprecedented speeds. It holds immense potential for accelerating AI training and complex problem-solving.
Unexpected or unprogrammed actions that arise as AI systems grow more complex. These behaviors can lead to surprising creativity or unpredictable outcomes, highlighting the importance of AI safety and alignment.