Introducing an interpretation module for LLMs improves understanding and reliability of AI outputs in physics research, enhancing transparency and validation in scientific discovery.
Non-determinism is evident in LLMs set to deterministic modes, showing accuracy variations up to 15% across runs and necessitating new metrics to evaluate determinism.
Mandating disclosure of medical machine learning systems by clinicians is argued to be harmful and unjustified, as current ethical arguments supporting it are unconvincing.
A new quantum-classical technique, Q4RPD, optimizes real-world package delivery challenges like simultaneous pickups, time-windows, and vehicle restrictions.
An iterative interpolation method improves Quantum Approximate Optimization Algorithm (QAOA) performance, enabling over 1000 layers with fewer optimization steps, especially on complex problems.
The new FreshBench framework reveals Large Language Models show declining performance in future generalization, with open-source models adapting better long-term.
AI can enhance mental health support by complementing human providers through scalable, context-aware interventions, while addressing ethical and privacy concerns.
Politically directed alignment in large language models may reinforce dominant ideologies, influencing societal norms and enabling extremist views to emerge.
Current AI governance frameworks are inadequate; new policies are needed to protect against harmful AI and improve incident reporting and ethical management.
Large language models in medicine are hindered by distractions, reducing accuracy by up to 17.9%, pointing to their inability to filter relevant clinical data effectively.
The Epistemic Alignment Framework addresses user challenges in knowledge delivery from LLMs, promoting tailored information presentations aligned with user needs.
A framework assessing the harmfulness of Large Language Models for coding reveals disparities in alignment. Larger models tend to be less harmful, emphasizing the need for targeted alignment strategies.
The current capabilities of web agents based on LLMs are over-optimistic, requiring improved benchmarks for accurate measurement, highlighted by the introduction of Online-Mind2Web.
An automated LLM framework predicted field experiment outcomes with 78% accuracy, revealing skewed performance linked to gender, ethnicity, and social norms.
PaperBench evaluates AI agents' ability to replicate AI research, finding current models underperforming compared to human benchmarks, with an average replication score of 21%.
A novel strategy leveraging multiple models improves LLM performance and reduces costs by dynamically switching between them based on consistency, outperforming traditional methods.
The rise of LLMs raises concerns about attribution and intellectual property, necessitating a legal framework to ensure accountability for AI-generated content.
The SOLAR framework enhances Large Language Models by optimizing reasoning topologies, achieving up to +10.02% accuracy improvement while reducing response length and inference time.
By 2026, AI-driven cyber attacks are expected to become increasingly rapid, sophisticated, and difficult to detect, posing a greater risk to cybersecurity.
Converting atmospheric CO2 into graphite can generate profit and aid in renewable energy storage, thus helping to combat climate change and ocean acidification.
The EU's Clean Industrial Deal aims to enhance industrial competitiveness by accelerating decarbonisation and boosting renewable energy and clean manufacturing.
Employers can expedite residence permit applications by completing employment terms on the Enter Finland platform immediately after submission by the employee.
Employers can use Enter Finland for Employers to streamline the residence permit application process by submitting employment details and fees on behalf of their employees.
Europe's most advanced AI factory opens in Kajaani, enhancing the LUMI supercomputer with a quantum computing unit to support researchers and companies.
In 2024, Finland's immigration authority significantly reformed its operations to improve efficiency, enhance security, and accelerate processing times for residence permits.
The EU achieved a record renewable electricity share of 45.3% in 2023, marking the largest annual growth since records began, largely driven by wind power.
Data journalism enhances user interactivity in online comments, fostering conversations and promoting democratic engagement, though not all users participate.
Applying Time-Reversal Symmetry in Quantum Wireless Sensor Networks can enhance communication performance, optimizing throughput, reducing latency, and improving energy efficiency.
A new adversarial attack method significantly outperforms traditional techniques, exposing critical vulnerabilities in multi-agent LLM systems and highlighting weaknesses in existing defenses.
In 2024, Finland's Immigration Service implemented significant reforms, including speeding up residence permit processing times and enhancing security measures.
Finland plans to exit the landmines treaty and increase defense spending to 3% of GDP by 2029 amid heightened concerns over Russia's military activities.
Finland has shut down its last active coal-fired power plant, marking a significant step towards cleaner energy and the reduction of greenhouse gas emissions.
NREL's HPC capabilities have increased energy research efficiency by 30 times in ten years, highlighting innovative pathways for reducing environmental impacts.
Large language models in healthcare are vulnerable to user-driven misinformation, with tone and completeness of information significantly affecting diagnostic accuracy.
A new law mandates that driving license medical certificates must now be obtained from private practitioners, as welfare areas are no longer required to provide them through primary healthcare.
Significant reductions in asylum seekers have led to the planned closure of reception centers in Finland, impacting approximately 2,200 residents by 2025.
Ukrainians fleeing to Finland can work under temporary protection without needing a new residency permit until March 2026, depending on their application status.
LLMs struggle with processing entangled instructions, showing trade-offs between memorization and reasoning, particularly in privacy tasks and conflict resolution.
Finnish pension companies have significantly reduced their investment in domestic stocks in favor of foreign equities, reflecting a substantial shift in their investment strategy.
AI assistants can manipulate human team trust, leading to harmful group decisions in collaborative tasks, raising the need for defensive strategies against such adversarial behavior.
LLMs struggle to estimate uncertainty in instruction-following, especially with subtle errors, highlighting critical limitations for reliable deployment in high-stakes tasks.
AI-generated content can enhance diversity in homogeneous news environments, promoting richer public discourse while diminishing it in heterogeneous contexts.
AI in software engineering has progressed but faces challenges that require research and engineering to automate routine tasks and focus on critical decision-making.
The digital safety landscape in 2025 will face challenges and opportunities due to generative AI, requiring balanced regulatory approaches and global collaboration to enhance online safety.
AI innovation, renewable energy, and the digital economy are crucial for reducing CO2 emissions in the U.S., while GDP growth and industrialization worsen environmental damage.
Organised crime in the EU is evolving, becoming more sophisticated with a digital footprint, relying on AI, and posing destabilizing threats to society and institutions.