You need to be okay with handing over your payment information, your day-to-day activities, and little pieces of your life that might otherwise be totally private. That required level of intimacy is why it’s important to be able to opt out of using agentic AI,

If the Gemini twins in Greek mythology are meant to guide sailors, then the name Google gave to its AI chatbot finally matches its demigodly ambitions. Compared to when I tested it last year, Gemini has seen tremendous improvements in accuracy and usefulness.

Perplexity’s Comet looks to challenge Google’s dominance in web browsing at a time when the tech giant could be made to sell its Chrome browser in an antitrust remedies case.

As AI chatbots and assistants continue to find traction, Proton’s arrival on the scene with an open-source model based Lumo comes with a familiar privacy pitch.

At Google I/O Connect India 2025 held in Bengaluru, eight Indian startups showcased cutting-edge applications developed using Google's AI models—Gemini and Gemma. From translation tools and video creation to e-commerce and edtech solutions.

Google on Monday announced a series of updates intended to bring its Gemini AI and other AI-powered tools deeper ... where educators are already struggling to adapt to how AI tools, like AI chatbots and startups that promise to help you “cheat on ...

Google on Monday announced a series of updates intended to bring its Gemini AI and other AI-powered tools deeper into the classroom. At the ISTE edtech conference, the tech giant introduced more ...

In May, Google released MedGemma, which uses both the MedQA and Afri-MedQA datasets to form a more globally accessible healthcare chatbot. MedGemma has several versions, including 4-billion and 27-billion parameter models, which support multimodal inputs that combine images and text.

Butler says the company had “worked very closely with Google” to prevent the Verizon AI agent from hallucinating by creating small language models that are personalized to Verizon services and customers. “To date, we are seeing north of 90 percent accuracy with very minor mistakes being made.”

Carolina Parada, head of robotics at Google DeepMind, says this approach to AI robotics could make robots more reliable in challenging situations. This is also the first version of Google's robotics model that developers can tune for their specific uses.