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In the News
2025 could be the year AI grows up
Silicon Valley says 2025 is the year AI grows up and gets a job. Tech leaders envision armies of AI agents — autonomous digital workers that can actually get things done, not just chat. But after years of bold AI promises and mixed results, Wall Street analysts are questioning whether this trillion-dollar bet will finally pay off.
In The News
Opportunities, limits and ethical issues: what scenarios for AI in 2025?
The pervasive nature of AI is both fascinating and unsettling. Where do we stand in this revolution? Can its development be controlled? Has AI reached maturity, and what are its next major milestones?
5 ways AI can help crisis response around the world
We live in turbulent times. The number of violent conflicts around the world is the highest since World War Two. The frequency and intensity of climate disasters are on the rise. Our ability as an international community to respond to these challenges is being tested more than ever.
Amazon Bedrock gains new AI models, tools, and features
Amazon Web Services (AWS) has announced improvements to bolster Bedrock, its fully managed generative AI service.
Applied use cases
Kate Bush joins campaign against AI using artists’ work without permission
Kate Bush has called on ministers to protect artists from AI using their copyrighted works amid growing concerns from high-profile creatives and ongoing political uncertainty over how to handle the issue.
Gemini 2.0: Google ushers in the agentic AI era
Google CEO Sundar Pichai has announced the launch of Gemini 2.0, a model that represents the next step in Google’s ambition to revolutionise AI.
Microsoft bets on AI to power a nuclear resurgence — and more AI
As US Democrats brace for Donald Trump’s return to the White House, environmental permitting reform could provide some rare opportunities for bipartisan alignment.
Ethics
Miracle or myth: Assessing the macroeconomic productivity gains from artificial intelligence
Artificial intelligence has been shown to deliver large performance gains in selected economic activities, but its aggregate impact remains debated.
Why Should the UN “Govern AI for Humanity”: What is at Stake and What is the Urgency?
AI could be a driver for positive change, as it has the potential to spark innovation, enhance data-driven decision-making and boost the progress of the United Nations (UN) 2030 Agenda’s Sustainable Development Goals (SDGs).
AI now deployed but divisive, as newsrooms struggle with ethics, quality, productivity
New data shows that the media sector is one of the sectors most affected by artificial intelligence (AI), with 90 per cent using AI for news production. GenAI technologies present new opportunities for newsrooms – but risks too.
Robotics
Anybotics raises $60M to bring more autonomous industrial robots to the U.S.
Swiss robotics company Anybotics has raised an extra $60 million to close its Series B round off at $110 million, some 18 months after first announcing it had raised a $50 million Series B.
Watch: Biomimetic robo bird-plane leaps to launch single algorithm can help robots make good decisions in real time
While autonomous flying robots have some intriguing potential applications, their usefulness is limited if they can't move across uneven terrain once they land. An experimental new bio-inspired bot can do so, however, by mimicking the gait of the raven.
How diversity and inclusion drive innovation in robotics
techxplore.com
The field of robotics is highly interdisciplinary, encompassing disciplines such as mechanical and electrical engineering, materials science, computer science, neuroscience and biology. The robotics community in itself is a champion of academic diversity.
Research
Advances in Artificial Intelligence Transforming the Medical and Healthcare Sectors
frontiersin.org
This Research Topic aims to provide a platform for researchers to disseminate cutting-edge research that investigates and explores the potential of artificial intelligence technologies in healthcare sector with a focus on computer vision, deep learning, machine learning, medical imaging, sensor data, and clinical data analysis
Practical Considerations for Agentic LLM Systems
To bridge this gap, this paper frames actionable insights and considerations from the research community in the context of established application paradigms to enable the construction and facilitate the informed deployment of robust LLM agents.
The use of AI for automatic analysis and reporting of software defects
This study aimed to determine the most relevant aspects to be considered for detecting software defects using AI. The methodology used was qualitative, with an exploratory, descriptive, and non-experimental approach.
