News

Agentic AI Takes Center Stage, Shifting Focus from Generative Models In March 2026, the artificial intelligence landscape is undergoing a pivotal shift from generative AI to more autonomous, agentic AI systems. These advanced AI agents are engineered to execute complex, multi-step workflows with minimal human oversight, fundamentally transforming business operations. This trend is highlighted by the release of new models like OpenAI’s GPT-5.4, which features native computer-use capabilities, allowing it to interact directly with software interfaces. The industry’s focus is evolving from experimentation to implementation, embedding AI as an invisible infrastructure within enterprise environments. Upcoming events like NVIDIA’s GTC 2026 are also expected to heavily feature agentic and physical AI. ...

Biotech’s ‘Builder’ Phase: AI Integration Drives R&D Transformation The biotech industry is shifting from standalone artificial intelligence tools to developing fully integrated, AI-native discovery systems. According to the 2026 Biotech AI Report from Benchling, this new “builder” phase sees organizations reshaping their data infrastructure and company structures to make AI a core component of their research and development models. A common trend is to embed AI leadership directly within R&D to ensure technology remains connected to the experimental context. However, the report highlights that poor data quality and availability are the top reasons for the failure of AI pilot projects. These infrastructure issues are creating a significant bottleneck for AI adoption in more complex areas like generative design and biomarker analysis. ...

India Hosts Inaugural Global AI Impact Summit in New Delhi The India AI Impact Summit 2026 has commenced in New Delhi, marking the first global AI summit to be hosted in the Global South. The five-day event, held at Bharat Mandapam, brings together global leaders, policymakers, technology companies, and researchers to discuss the future of artificial intelligence with a focus on inclusion and responsible development. Prime Minister Narendra Modi inaugurated the expo, which features 600 startups and 13 country pavilions, underscoring India’s ambition to become a global AI hub. The summit is anchored on three foundational pillars: ‘People, Planet and Progress’. The event aims to foster international collaboration and shape a future where AI serves humanity, drives inclusive growth, and promotes sustainable development. ...

ZKBoost Protocol Unveiled for Private, Verifiable XGBoost AI Model Training Researchers have introduced ZKBoost, a groundbreaking cryptographic protocol designed to verify XGBoost machine learning model training on sensitive datasets without revealing the underlying data or model parameters. ZKBoost is the first zero-knowledge proof of training (zkPoT) protocol specifically developed for XGBoost, a widely-used algorithm for tabular data. This innovation addresses the critical need for cryptographic guarantees of model integrity in high-stakes applications. The system employs a fixed-point implementation of XGBoost compatible with arithmetic circuits, enabling efficient zero-knowledge proofs. Research indicates this implementation maintains accuracy within 1% of the standard XGBoost, making practical verification on real-world data a reality. ...

AI Model ‘SleepFM’ Predicts Future Disease Risk from a Single Night’s Sleep Researchers have developed a groundbreaking artificial intelligence foundation model, named SleepFM, that can predict the future risk of various diseases by analyzing data from a single night’s sleep. A study published in Nature Medicine details how the model was trained on over 585,000 hours of polysomnography (PSG) data from approximately 65,000 individuals. SleepFM has demonstrated a remarkable ability to predict the risk of numerous conditions—including dementia, heart failure, chronic kidney disease, and mortality—years before a clinical diagnosis might occur. The model analyzes complex physiological signals captured during sleep to identify patterns indicative of a predisposition to future health issues. This innovative approach could serve as a powerful early warning system, enabling proactive healthcare and early disease detection. ...

Zara’s AI Integration Revolutionizes Retail and Supply Chain Management Fast-fashion giant Zara is embedding artificial intelligence into its core retail workflows to boost efficiency and market responsiveness. By leveraging generative AI, the company can adapt and extend existing product imagery, significantly cutting the time and expense of traditional photoshoots. This fashion technology allows for rapid creation of visual variations tailored to different markets. Beyond creative applications, Zara’s AI strategy extends to crucial operational areas, including demand forecasting, real-time inventory management, and delivering personalized customer experiences. This deep integration of AI is designed to optimize Zara’s entire supply chain, solidifying its leadership in the competitive fashion industry. ...

Arm Bets on Edge AI for Future Growth, Citing Lower Latency and Efficiency Arm Holdings is strategically positioning itself for the next wave of artificial intelligence, which it predicts will be dominated by edge computing over centralized cloud processing. In a recent interview, Vince Jesaitis, Arm’s head of global government affairs, asserted that most AI computations, especially inference tasks, will become increasingly decentralized. This strategic shift to local AI processing on devices ranging from smartphones to industrial sensors is poised to be the next major development in the field. The key benefits of edge AI include lower latency, critical for applications like real-time translation, and enhanced energy efficiency, thanks to the low-power design of Arm’s chips. Jesaitis also emphasized the sustainability advantages, noting that edge AI can help enterprises achieve their energy goals without sacrificing computing performance. Arm’s strategy centers on supplying the intellectual property for billions of chips in these edge devices, empowering them to be truly intelligent and context-aware. ...

AI & Machine Learning Breakthroughs: Tracing Ancient Life and Powering Research This collection of articles highlights recent advancements in Artificial Intelligence and Machine Learning. A groundbreaking new machine learning method has successfully identified the oldest chemical traces of life on Earth. In other news, a German research team has gained access to a powerful supercomputer to advance generative AI research, while new insights reveal how machine learning is fundamentally transforming global currency exchange. ...

Waymo Doubles US Footprint with Fully Autonomous Robotaxi Service in 5 New Cities Waymo is significantly expanding its fully autonomous vehicle operations, doubling the number of cities where its self-driving cars operate without a human safety driver. The company has initiated fully autonomous operations for employees in Miami, with plans to roll out in Dallas, Houston, San Antonio, and Orlando in the coming weeks. A public launch for paid rides in these new locations is slated for 2026. This expansion builds on Waymo’s existing public robotaxi services in Phoenix, San Francisco, Los Angeles, Atlanta, and Austin. The move intensifies competition in the growing robotaxi market as rivals also invest heavily in autonomous driving technology. ...

OpenAI CEO Sam Altman Pushes for Government-Owned AI Infrastructure OpenAI CEO Sam Altman has called for governments to invest in and own their artificial intelligence infrastructure. In a statement, Altman clarified that OpenAI is not seeking government loan guarantees for its data centers, emphasizing that companies should bear their own business risks. He suggested that a government-owned AI infrastructure, including a “strategic national reserve of computing power,” would serve the public interest. This comes as OpenAI faces scrutiny over its significant investment plans and the immense costs associated with advancing AI technology. Altman believes the risk of having insufficient computing power is greater than the risk of overbuilding. ...