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In the News
Stanford 2025 AI Index Report
The AI Index offers one of the most comprehensive, data-driven views of artificial intelligence. Recognized as a trusted resource by global media, governments, and leading companies, the AI Index equips policymakers, business leaders, and the public with rigorous, objective insights into AI’s technical progress, economic influence, and societal impact.
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In The News
Nvidia says it will build up to $500bn of US AI infrastructure as chip tariff looms
Plan comes after Donald Trump reiterated import threats and chipmaker’s CEO dined at US president’s resort
xAI adds a ‘memory’ feature to Grok
Elon Musk’s AI company, xAI, is slowly bringing its Grok chatbot to parity with top rivals like ChatGPT and Google’s Gemini.
Explainable AI for ship navigation raises trust, decreases human error
The Titanic sunk 113 years ago on April 14-15, after hitting an iceberg, with human error likely causing the ship to stray into those dangerous waters. Today, autonomous systems built on artificial intelligence can help ships avoid such accidents, but could such a system explain to the captain why it was maneuvering a certain way?
Applied use cases
Will AI improve your life? Here’s what 4,000 researchers think
Scientists working on artificial intelligence are more confident than the public that the technology will benefit people.
Wikipedia is giving AI developers its data to fend off bot scrapers
Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications.
Challenges and opportunities for AI in auditing: Evidence from the field
In this study we research the adoption of AI in auditing by large public accounting firms, with emphasis on its challenges and opportunities. Some previous studies point to delayed adoption of AI in auditing due to regulations and the need for additional safeguards while others document extensive AI implementation.
Ethics
Weaponized AI: A New Era of Threats and How We Can Counter It
AI has emerged as both a transformative tool and a potential weapon of unprecedented sophistication, presenting serious risks to national security and democratic institutions.
The (artificial intelligence) therapist can see you now
New research suggests that given the right kind of training, AI bots can deliver mental health therapy with as much efficacy as — or more than — human clinicians.
EU bans the bots: Commission bars ‘AI agents’ from joining online meetings
The Commission acknowledged it had imposed the ground rule for the first time last week, declining to give more details on the policy and reasons why it took the decision.
Robotics
Robotics meets the culinary arts
RoboCake is ready. This edible robotic cake is the result of a collaboration between researchers from EPFL (the Swiss Federal Institute of Technology in Lausanne), the Istituto Italiano di Tecnologia (IIT-Italian Institute of Technology) and pastry chefs and food scientists from EHL in Lausanne.
ABB to spin off world's second biggest robotics business
Swiss industrial group ABB (ABBN.S), opens new tab on Thursday announced plans to spin off its robotics division in the biggest shake up at the company since it sold its power grids business to Japan's Hitachi (6501.T), opens new tab in 2018.
Studying fruit flies to help build better robots
Researchers at the Swiss Federal Institute of Technology Lausanne (EPFL) are trying to replicate the brains of tiny fruit flies to create next-generation robots.
Research
AI: an overview of research trends and future directions
This study aims to offer an overview of hospitality and tourism research on AI and its impact on the industry.
AI as a teaching tool in university education
A descriptive study with a quantitative approach was conducted using the deductive method and a Likert scale questionnaire.
Cost Modeling and Scheduling for Complex LLM Inference Patterns
Here, our goal is to extend our CSP formulation and analysis to more complex inference scenarios, such as prefix sharing (sharing KVs for the common prefix of multiple requests), and reveal new insights toward a better, implementable scheduling policy.
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✅ No overhead, no delays – What once took weeks now takes minutes.
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