AI

How AI Shapes Human Perception: New Research Warns of Cultural Bias Recent studies from the University of Southern California and the University of Exeter warn that artificial intelligence, especially large language models, may be significantly influencing human culture and worldviews. The research suggests that many AI systems perpetuate a narrow, Western-centric viewpoint, which could stifle the diversity of global ideas and problem-solving strategies. Furthermore, interactions with AI can amplify a user’s existing beliefs, potentially leading to distorted memories and a skewed perception of reality. As society increasingly relies on AI for information and communication, there’s a growing concern that these systems are not just passive tools but are actively shaping how individuals interpret the world. The studies emphasize the need for greater awareness of this algorithmic influence and for developing AI that embraces a broader spectrum of human perspectives. ...

Google Launches Gemma 4, a Powerful Open-Weight AI Model Google has unveiled Gemma 4, its latest open-weight AI model featuring powerful multimodal capabilities that support audio, text, and image inputs. Building on the success of its predecessor, Gemma 3, this new model is engineered with advanced reasoning to ’think’ before responding, making it a potentially vital tool for developers. A key feature of Gemma 4 is its efficiency, allowing it to run on smaller machines and increasing its accessibility across the development community. This release signifies a major step in the trend toward creating more versatile and efficient generative AI models. ...

Rice University Breakthrough: New AI Method Accelerates Protein Engineering Scientists at Rice University have developed a novel method to generate large datasets for training artificial intelligence models in protein engineering. A significant bottleneck in AI-guided protein engineering has been the lack of sufficient experimental data to train accurate models. The new technique utilizes an activity-based barcoding system that records the activity of individual protein variants, creating the necessary large-scale data for machine learning. As a proof of concept, the team applied this method to a small CRISPR-Cas protein, and the resulting AI model was able to predict mutations that significantly enhanced the protein’s activity. This breakthrough could dramatically accelerate the development of optimized proteins for various applications. ...

Yann LeCun: Why Large Language Models Aren’t the Path to True AI AI pioneer and Turing Award recipient Yann LeCun argued that large language models (LLMs) are not the path to achieving human-like intelligence during a recent lecture at Brown University. He explained that while current AI systems excel at manipulating language, they fundamentally lack an understanding of the physical world and cannot predict the consequences of their actions. LeCun believes the next frontier in AI involves developing systems capable of creating their own abstract world models. While optimistic about AI’s potential to drive scientific progress, he suggests that reaching human-level intelligence remains a distant goal. ...

WeRide & Grab Launch Singapore’s First Public Robotaxi Service WeRide and Grab have officially launched Singapore’s first public autonomous ride-hailing service, named Ai.R, in the Punggol district as of April 1, 2026. This launch follows a successful trial period that began in January 2026, during which the service catered to over 1,000 early riders and the fleet accumulated 30,000 kilometers of autonomous mileage. The service utilizes WeRide’s GXR and Robobus vehicle models. For the initial public phase, rides will be offered free of charge until mid-2026. The service operates on weekdays from 9:30 AM to 5:30 PM, with routes designed to connect residential areas with key local amenities. Each vehicle will have a certified safety operator on board, with remote operator training also in progress. ...

Artificial Intelligence & Machine Learning California’s New AI Regulations, Chipmaker Funding, and Scientific Breakthroughs The Artificial Intelligence and Machine Learning landscape has seen significant developments in the last 24 hours. Key updates include new AI regulatory measures in California, a major funding round for a South Korean chipmaker, new research on public perception of AI, and breakthroughs in high-temperature computing and quantum energy prediction. These advancements highlight the rapid evolution of AI technology and its growing impact on society and industry. ...

This edition of our tech news digest covers major advancements from IBM’s quantum computing labs, new visual tools for Kubernetes security and governance, and a key partnership aimed at accelerating AI in robotics. Google DeepMind and Agile Robots Partner to Advance AI in Robotics In a significant move for intelligent automation, Google DeepMind and Agile Robots have announced a partnership to advance the integration of AI in robotics. This collaboration aims to create more adaptable and intelligent robotic systems. Other key developments include new research suggesting quadruped robots could serve as astronaut assistants on future space missions, and an innovative AI system from MIT designed to optimize traffic flow for warehouse robots. ...

FBI Warns of Supply Chain Attack Targeting AI Developers The FBI’s Cyber Division has issued a critical alert regarding a sophisticated supply chain attack targeting artificial intelligence developers. A threat actor group identified as ‘Team PCP’ has reportedly compromised two widely-used developer tools, injecting malicious code directly into trusted build pipelines. The attackers exploited weak credential management and used AI-assisted coding techniques to escalate privileges and evade detection. The FBI strongly urges all AI organizations to immediately audit their software dependencies, rotate all credentials, and implement more robust security protections for their build pipelines to mitigate this threat. ...

US Regulators Highlight AI’s Growing Role in Banking for Fraud Detection and Underwriting A U.S. House Financial Services subcommittee convened on March 26, 2026, to examine the integration of artificial intelligence within the financial sector. Testimonies from federal regulators, including the Federal Reserve and FDIC, revealed that banks are increasingly utilizing AI and machine learning for a variety of functions. These applications range from improving operational efficiency to enhancing fraud detection and anti-money laundering processes. Notably, AI is being used with cash flow data to assist in credit underwriting for individuals who might not have access to credit through traditional methods. The National Credit Union Administration has also launched an AI Resources page on its website to support credit unions in adopting these new technologies. ...

Daily Tech News Feed AI Prevents Warehouse Robot Traffic Jams, Boosting Throughput by 25% Researchers have developed a new AI system that learns to prevent traffic congestion among warehouse robots, resulting in a 25% increase in throughput. This innovative approach adaptively decides which robots get the right-of-way to avoid bottlenecks in real-time. The system is engineered to significantly improve the efficiency of robotic operations in large-scale warehouse environments. By optimizing robot traffic flow, the AI streamlines inventory management and movement, promising major productivity gains in logistics and supply chain management. ...