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To help models gain expertise for specific development patterns that follow our best practices, we are continuing to expand our repository of Android skills, available through Android CLI and GitHub.Android skills ground LLMs in specialized workflows and domain knowledge, for the most common and more complex user journeys they might struggle with. We’ve shipped a fresh new batch of skills, with now more than 17 skills for areas such as:You can browse skills and install using the Android CLI commands: android skills listandroid skills add –skill= For more information, check out the official documentation. 3. Android Bench adds new modelsEarlier…

Jure Leskovec, Professor of Computer Science at Stanford University and Chief Scientist at Kumo.ai, speaks with host Sriram Panyam about relational and graph language models and their transformative impact on enterprise decision-making and predictive modeling. Jure begins by establishing the critical importance of predictive modeling across industries – from fraud detection in financial institutions to customer churn prediction, lifetime value estimation, product recommendations, and healthcare risk assessment. He notes that while AI has made remarkable advances in natural language understanding and computer vision, predictive modeling over enterprise operational data stored in relational databases has been largely left behind, still relying…

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Apple’s chip design transforms Mac reliability The success of Apple Silicon hardware is attributed to its simpler design, which integrates multiple components into a single chip, reducing the number of potential failure points. Additionally, Apple Silicon Macs run cooler, leading to less wear and tear on components such as batteries and USB-C ports, the report says. Across the wider laptop market, most studies show hardware faults affect one in five non-Apple machines over their first three years in use. This builds on Apple’s enduring record for making good hardware as independent reliability surveys consistently rank the company as the most…

In January, there was a lot of hype around an announcement from Finnish company Donut Lab: It claimed to have created the world’s first production-ready solid-state battery.The Donut battery, marketed as the energy source behind the Verge TS Pro motorcycle, was allegedly a “pioneer” in bringing this new battery technology to a production-ready electric vehicle. During CES 2026, Donut Lab’s phone-size powerhouse was even a finalist for CNET’s Best Transportation category, where we noted that the cell promised “huge improvements in energy density, charging speed and safety.”But it now appears to be a wolf in sheep’s clothing. The battery is allegedly…

PLDT is set to join Asia’s data center real estate investment trust (REIT) wave with plans for a listing that could be worth as much as $400 million. The board of the Philippines’ telco on Tuesday approved a proposal to float its data center arm Vitro via a REIT.Chairman and CEO Manny Pangilinan said the company aimed to raise between $300 million and $400 million, with the proceeds to be used to pay down debt. He told a shareholder meeting PLDT believed it was “not getting the kind of values we think we ought to get for the data centers.”The operator had explored selling…

AI isn’t coming for HR. It’s already here. Payroll engines are auto-processing tax compliance.  Natural language processing (NLP) tools are scanning thousands of resumes in seconds.  Conversational AI bots are fielding first-level employee queries around the clock.  As HR shifts toward a more data-driven, technology-enabled function, investing in AI and automation skills is becoming essential for long-term career growth and strategic relevance. The HR professionals who treat this as a spectator sport are already falling behind. Those who are actively building AI fluency are earning bigger tables and bigger decisions. This isn’t about replacing human judgment in HR. It’s about…

The Data That Can’t MoveFor years, the enterprise data strategy was simple: move everything to the cloud. Migrate the data lakes and the warehouses to the cloud, and then governance follows. It was a clean story — until it wasn’t.Today, some of the world’s most sophisticated enterprises are telling us clearly: they cannot — and will not — move all of their data to the cloud. Leading semiconductor manufacturers are training models on engineering-classified datasets that must never leave their premises. Global trading firms sit on massive volumes of historical tick data where the economics of cloud egress make migration…

NTT DATA has expanded its work with Google Cloud on enterprise AI deployments using Gemini Enterprise.The companies said the work will focus on helping organisations move AI projects beyond pilot stages and into production environments. The collaboration combines Google Cloud’s AI, data, and cloud platform capabilities with NTT DATA’s consulting and implementation services. It also includes NTT DATA’s managed services and industry delivery teams.The latest agreement builds on a global partnership announced in August 2025. At the time, NTT DATA and Google Cloud said they would work together on agentic AI adoption, cloud-native modernisation, and industry-specific AI solutions. The partnership…

The industrial landscape is evolving at an incredible pace. As IT and OT environments continue to converge, the traditional boundaries of network security are shifting, creating both new challenges and significant professional opportunities. It was a privilege to connect with so many of you at Cisco Live this year to discuss the critical workforce and skills gap in OT security. Whether we spoke during my session or connected on the show floor, the energy around securing our critical infrastructure was palpable. In our session, Securing Tomorrow’s Factories: Developing Essential IIoT Job Skills for Organizational Resilience, we dove deep into the…