Author: aibots.dk
Melissa Choi named director of MIT Lincoln Laboratory
Big Tech forms AI connectivity standard, excludes NVIDIA
Big Tech computing companies formed a consortium to define a new open standard for interconnecting AI accelerators. NVIDIA was not invited to be part of the group even though it is the largest supplier of AI GPUs by far. AI data centers need to move massive amounts of data with very low latency. High-bandwidth data processing on GPUs happens extremely fast, but the challenge is to transfer data within and between clusters of these AI accelerators within data centers. NVIDIA created NVLink, its proprietary high-speed interconnect specifically designed for communication between its GPUs. The problem is that NVLink is proprietary,
The post Big Tech forms AI connectivity standard, excludes NVIDIA appeared first on DailyAI.
DAI#41 – Pizza glue, safety second, and AI friends with benefits
Welcome to our weekly roundup of artisanal handcrafted AI news. This week Google said we should put glue on pizza. OpenAI says it’s training a new model safely. And Elon Musk says you’ll need a hobby because AI will take your job. Let’s dig in. Hey Google. Are you ok? Google announced its AI Overview search feature last week and said it would change how people found information on its platform. Well, it changed things all right, but not in a good way. Google AI Overview told users that pythons are mammals, suggested they put glue on pizza, and other
The post DAI#41 – Pizza glue, safety second, and AI friends with benefits appeared first on DailyAI.
Nicholas McQuire, Executive Director of Product Management, Strategic Incubations at Microsoft: Shaping the Future of Tech with AI and Quantum Computing
Undressing.io
Looking for a specific action in a video? This AI-based method can find it for you
Google’s Gecko benchmark identifies best AI image generator
Google’s DeepMind released Gecko, a new benchmark for comprehensively evaluating AI text-to-image (T2I) models. Over the last two years, we’ve seen AI image generators like DALL-E and Midjourney become progressively better with each version release. However, deciding which of the underlying models these platforms use is best has been largely subjective and difficult to benchmark. To make a broad claim that one model is “better” than another isn’t so simple. Different models excel in various aspects of image generation. One may be good at text rendering while another may be better at object interaction. A key challenge that T2I models
The post Google’s Gecko benchmark identifies best AI image generator appeared first on DailyAI.