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OpenAI GPT-5 to Google Gemini 2; 5 Best Generative AI Platforms

Artificial intelligence is transforming how people work, create, and innovate. Generative AI is leading, generating text, images, videos, and even code with ama

Leveraging generative AI in ad scripts for Google Ads optimization

Stop writing scripts from scratch. Use GPT to modify, optimize, and expand your Google Ads automation effortlessly.

Google's AI super system will help scientists generate novel hypotheses and research proposals but will it dumb them down as well?

Now, Google is also launching a similar initiative, which aims to turn AI into a co-scientist that can accelerate scientific discoveries. The tech giant explains, "The AI co-scientist is a multi-agent AI system that is intended to function as a collaborative tool for scientists."

AI accelerating medical research; Solving pain points in sales

Beyond speed, AI has also helped reduce costs. Conventional methods required nearly $35,000 per genome analysis, but AI-driven models running on GPUs have lowered the cost to under $2,000, making high-quality genomic research more accessible.

AI hardware 7month
Deep-learning framework advances tissue analysis in spatial transcriptomics

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when studying how cells interact and respond to changes in their environment,

Deep Learning 7month
Google develops AI co-scientist to aid researchers

Google has developed an AI tool to act as a virtual collaborator for biomedical scientists, the U.S. blue chip said on Wednesday.

Google reveals 'Co-Scientist' AI it says could lead to huge research breakthroughs

Scientist' AI it says could lead to huge research breakthroughs - System can look through research and propose new hypotheses - which appear to be correct

Capgemini's AI Breakthrough to Accelerate Bioeconomy

This new approach, powered by a specialised protein large language model, predicts the most effective protein variants while using 99% less data than traditional methods.