Google integrates Street View images into Genie 3 for real-world simulations

Google's PQC integration in Android 17 signals a shift towards quantum-resistant security, influencing blockchain and tech industry standards. The post Google rolls out Android 17 with post-quantum crypto security, but major AI features are months away appeared first on Crypto Briefing.

Google has released Android 17 and Wear OS 7, introducing new multitasking features, parental controls, security tools, and smartwatch upgrades. The launch is also accompanied by a Pixel Drop that brings Google’s latest AI models to its devices.

Coinbase has launched 1:1-backed tokenized shares of SpaceX, Nvidia, Google, Strategy, and Bitmine, entering the market days after rival exchanges abandoned SpaceX-related token offerings. According to Coinbase, the new product allows users to buy, hold, trade, and redeem tokenized equity…

Google's open-sourcing of Brazos could democratize advanced cooling tech, reducing costs for smaller AI and blockchain operators globally. The post Google launches Brazos liquid cooling system to tackle AI’s overheating problem appeared first on Crypto Briefing.

McKenna's return boosts Scotland's defense, crucial for their World Cup aspirations after a long absence, especially against strong opponents. The post Scott McKenna returns to training with Scotland ahead of World Cup clash against Morocco appeared first on Crypto Briefing.

The partnership could accelerate Dubai's role as a digital asset hub, influencing global trade and investment through blockchain integration. The post Tether signs MOU with Dubai’s DMCC to advance blockchain education and tokenization appeared first on Crypto Briefing.

French robotics startup Genesis AI on Tuesday unveiled "Eno", its first general-purpose robot, marking a step toward bringing advanced AI from online chatbots into physical machines. Backed by former Google CEO Eric Schmidt, the company says the wheeled robot is designed to extend human capabilities rather than mimic human form, with commercial deployments planned from late 2026.

Hot AI companies can’t stop talking about forward-deployed engineers (FDEs), which are now very much in vogue.  FDEs, in case you haven’t heard, are hired by companies looking (hoping?) to successfully deploy AI tools and services. It’s one of the hotter professions in a world still trying to understand the impact of AI on careers. So, what exactly are FDEs — are they techy lone rangers like the ones OpenAI, Google and Microsoft are hiring? Turns out it’s not so much about individual engineers who swoop in to design and roll out AI deployments; it’s more about a team of engineers working together at customer sites. At least, that’s the view at Amazon Web Services (AWS). In fact, according to Taimur Rashid, managing director of the AWS Generative AI Innovation Center, the FDE concept pre-dates the current generative AI (genAI) gold rush. The same kinds of engineering teams were needed for the earlier machine-learning and cloud eras to help companies with deployments. Taimur Rashid, man