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VideoGameBench: Can Vision-Language Models Complete Popular Video Games?
VideoGameBench is a rigorous benchmark that evaluates VLMs’ real-time decision-making, perception, memory, and planning by challenging them to complete 1990s-era video games with only raw visual inputs and minimal control instructions. Key Highlights Real-Time, Visually Rich Environments – Evaluates VLMs on 23 popular Game Boy and MS-DOS games, including 3 secret test games to assess generalization… →
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Patient perceptions of primary care rapid respiratory microbiological point-of-care testing: a qualitative study
CONCLUSION: RM-POCT offers the potential to improve self-efficacy beliefs and reduce reconsulting for the same illness. Effective clinician communication and patient education may be beneficial alongside RM-POCTs to minimise unintended outcomes and enhance patients’ ability to determine when primary care attendance is necessary in the future. →
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Right C7 neurotomy at the intervertebral foramen plus intensive speech and language therapy versus intensive speech and language therapy alone for chronic post-stroke aphasia: multicentre, randomised controlled trial
CONCLUSIONS: C7 neurotomy plus three weeks of intensive SLT was associated with a greater improvement in language function compared with three weeks of intensive SLT alone over a period of six months. No severe adverse events or long term troublesome symptoms or functional loss were reported. →
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Google DeepMind Releases AlphaGenome: A Deep Learning Model that can more Comprehensively Predict the Impact of Single Variants or Mutations in DNA
«`html Google DeepMind Releases AlphaGenome: A Deep Learning Model that can more Comprehensively Predict the Impact of Single Variants or Mutations in DNA Understanding the Target Audience The target audience for AlphaGenome includes genomic researchers, bioinformaticians, and healthcare professionals focused on genetics and genomics. Their pain points often revolve around the limitations of existing models… →
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MIT and NUS Researchers Introduce MEM1: A Memory-Efficient Framework for Long-Horizon Language Agents
MIT and NUS Researchers Introduce MEM1: A Memory-Efficient Framework for Long-Horizon Language Agents Understanding the Target Audience The primary audience for the research on MEM1 includes AI researchers, data scientists, and business professionals involved in developing and implementing language agents. These individuals are typically affiliated with academic institutions, research organizations, or tech companies focused on… →
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Google AI Releases Gemini CLI: An Open-Source AI Agent for Your Terminal
Google AI Releases Gemini CLI: An Open-Source AI Agent for Your Terminal Google has unveiled Gemini CLI, an open-source command-line AI agent that integrates the Gemini 2.5 Pro model directly into the terminal. Designed for developers and technical power users, Gemini CLI allows users to interact with Gemini using natural language directly from the command… →
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Why Robots Will Displace Managers — and Create Other Jobs
Carolyn Geason-Beissel/MIT SMR | Getty Images Recent, dramatic growth in robot adoption across an increasing number of global industries has sparked avid interest in the impact robots will have in the workplace — particularly which jobs they will replace and whether any new jobs will be created for humans.1 Our recent research focused primarily on… →
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Slowing AI’s Domino Effect on Workplace Inequality
Artificial intelligence is poised to be the next disruptive work technology. But as it rapidly spreads across industries and occupations, it’s hard to separate the hype and cynicism from the reality of how it will impact the workplace. Some observers foresee the technology obliterating careers, leading to mass layoffs and unemployment. Advocates, on the other… →
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Combination therapy for exacerbations of pain in osteoarthritis with non-fixed combinations
CONCLUSION: The combination of CS/GL/MSM/HA with collagen significantly outperforms collagen-free therapy in reducing pain, improving joint function, and decreasing symptomatic treatment needs in patients with knee OA exacerbations. These findings support the inclusion of collagen in OA combination therapy. →
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New AI Research Reveals Privacy Risks in LLM Reasoning Traces
«`html New AI Research Reveals Privacy Risks in LLM Reasoning Traces Introduction: Personal LLM Agents and Privacy Risks Large Language Models (LLMs) are increasingly deployed as personal assistants, gaining access to sensitive user data through Personal LLM agents. This deployment raises significant concerns regarding contextual privacy understanding and the ability of these agents to determine… →