Software Engineering

GMO AI & Robotics Acquires Various Robotics to Spearhead Humanoid Robot Development in Japan GMO AI & Robotics Trading Co., Ltd. has acquired all shares of Various Robotics Inc., a developer of advanced robot solutions, as of Monday, December 15, 2025. This strategic move aims to strengthen GMO AIR’s presence in physical AI by uniting some of Japan’s top robotics engineers. The acquisition is set to accelerate the adoption of humanoid robots to address critical social challenges like labor shortages. The companies will jointly develop advanced robot solutions focusing on AI control, manipulation, and autonomous movement. Following the acquisition, Various Robotics will be renamed ‘GMO Various Robotics, Inc.’. The industry has designated 2026 as the ‘Year of Humanoids,’ signaling a significant push to deploy these robots in sectors like factories, logistics, hotels, and hospitals. ...

OpenAI’s GPT-5.2 Release Redefines Professional AI Capabilities OpenAI has released GPT-5.2, its latest and most advanced AI model, specifically engineered for professional knowledge work and enhancing economic value. The new model demonstrates significant improvements in tasks like creating spreadsheets, building presentations, and writing code. GPT-5.2 also showcases enhanced capabilities in image perception, understanding long contexts, and managing complex, multi-step projects. According to OpenAI, the model sets a new standard across numerous benchmarks, outperforming industry professionals in specified knowledge work tasks across 44 different occupations. This release is a strategic response to recent advancements from competitors like Google’s Gemini and Anthropic’s Claude, intensifying the AI landscape competition. The model is being rolled out in tiers, starting with paid plans in ChatGPT, and is available to all developers via the API, marking a significant step in OpenAI’s strategy to accelerate AI adoption in creative, analytical, and operational roles. ...

OpenAI Warns Future AI Models Pose ‘High’ Cybersecurity Risks OpenAI has issued a stark warning that its upcoming frontier AI models could present ‘High’ level cybersecurity risks. The company stated that these advanced models might be capable of automating the discovery and exploitation of significant cyber vulnerabilities, including the development of functional zero-day exploits. To mitigate these potential threats, OpenAI is implementing a ‘defense-in-depth’ strategy. This includes training its models to refuse harmful requests while remaining useful for defensive and educational purposes. The company is also establishing a Frontier Risk Council, an advisory board of cybersecurity experts, to help manage these advanced AI risks. Furthermore, OpenAI is developing a trusted access program to provide enhanced AI capabilities to qualified cybersecurity professionals for defensive operations. ...

OpenAI Unveils GPT-5.2, A Powerful AI Model for Professional Workflows OpenAI has officially launched GPT-5.2, its most advanced AI model series yet, engineered to enhance professional workflows and tackle complex, multi-step projects. The new series—comprising GPT-5.2 Instant, Thinking, and Pro—delivers significant improvements in coding, spreadsheet and presentation creation, image perception, and understanding long contexts. According to OpenAI, GPT-5.2 Thinking shows a 30 percent reduction in errors compared to its predecessor, GPT-5.1, making it more reliable for tasks like research, writing, and analysis. The model also demonstrates improved performance in mathematical problem-solving and abstract reasoning benchmarks. The rollout of GPT-5.2 will begin with paid ChatGPT users, with the API now available to all developers, marking a strategic move to solidify OpenAI’s leadership in the competitive enterprise AI landscape. ...

EU Investigates Meta’s WhatsApp AI for Antitrust Violations The European Commission has launched an antitrust investigation into Meta, focusing on concerns that its policies for WhatsApp could unfairly promote its own AI assistant. The probe follows complaints from smaller companies alleging that upcoming changes to WhatsApp’s access rules might hinder competing AI chatbots from reaching users. EU officials are considering interim measures to address these concerns while the investigation proceeds. This action is separate from, but complementary to, existing regulations under the Digital Markets Act. Italy’s antitrust authority is also conducting a parallel investigation. ...

MIT Unveils Dynamic Reasoning Method to Boost LLM Efficiency Researchers at MIT have engineered a more intelligent method for large language models (LLMs) to allocate computational resources during reasoning, significantly increasing their efficiency. This new technique enables LLMs to dynamically adjust the amount of computation used based on the complexity of a given question. This approach marks a departure from common methods that assign a fixed computational budget to every problem, which often wastes resources on simple queries and fails to solve more complex ones. By enhancing the reliability and efficiency of LLMs for complex reasoning, this development could lower the energy consumption of generative AI systems and enable their use in more critical, time-sensitive applications. The research is being presented at the Conference on Neural Information Processing Systems. ...

AI Achieves High Accuracy in Early Dementia Detection Using EEG Signals Researchers at Örebro University have developed two novel AI systems capable of detecting dementia by analyzing EEG (brain-wave) data. These systems can effectively differentiate between healthy individuals and those with dementia, including Alzheimer’s disease and frontotemporal dementia. One model, which utilizes a combination of temporal convolutional and LSTM networks, has demonstrated an accuracy of over 80%. A second model, designed with a focus on privacy and efficiency through federated learning, has reportedly achieved an impressive accuracy of over 97%. ...

Anthropic Unveils Claude Opus 4.5, Setting New AI Benchmarks Anthropic has launched Claude Opus 4.5, its most advanced and powerful AI model to date. Now accessible via the Anthropic API and major cloud platforms, Opus 4.5 reportedly establishes a new industry standard for complex tasks, including coding, AI agent development, and multi-step computer operations. The model also demonstrates significantly improved performance in everyday business functions like in-depth research and processing documents such as spreadsheets and presentations. Anthropic is positioning this release for enterprise and engineering teams managing sophisticated projects. Claude Opus 4.5 is available on AWS Bedrock, Google Cloud’s Vertex AI, and Microsoft’s Foundry. ...

Perplexity’s Comet AI Browser Faces Serious Security Vulnerability Allegations Perplexity’s Comet AI browser is facing significant scrutiny over alleged security vulnerabilities. Security researchers from SquareX claim to have discovered a hidden API that could allow attackers to execute arbitrary code on a user’s device, potentially leading to data theft or a full system compromise. Perplexity has vehemently denied these claims, labeling them as “fake news” and stating that no such vulnerability exists. This controversy follows previous security warnings from Brave and Guardio regarding other issues with Comet, including prompt injection vulnerabilities that could manipulate the AI into performing unintended actions. ...

Predictive AI in Healthcare: Hospital Adoption Reaches 71% Amidst Disparities A growing number of hospitals are adopting predictive AI technologies, with 71% integrating them into electronic health records in 2024, an increase from 66% in 2023. These machine learning tools are most frequently used to forecast inpatient health trajectories and identify high-risk outpatients. There has also been a significant rise in the use of predictive AI for administrative tasks, with 61% of hospitals using it to automate billing procedures in 2024, up from 36% the previous year. However, a notable adoption gap persists, as large hospitals are significantly more likely to use predictive AI than their small and rural counterparts. For instance, 96% of large hospitals utilized these tools in 2024, compared to just 59% of small hospitals. ...