Generative AI (Gen AI), capable of producing robust content based on input, is poised to impact various sectors like science, economy, education, and the environment. Extensive socio-technical research aims to understand the broad implications, acknowledging risks and opportunities. A debate surrounds the openness of Gen AI models, with some advocating for open release to benefit… →

The Technology Innovation Institute (TII) in Abu Dhabi has introduced Falcon, a cutting-edge family of language models available under the Apache 2.0 license. Falcon-40B is the inaugural “truly open” model, boasting capabilities on par with many proprietary alternatives. This development marks a significant advancement, offering many opportunities for practitioners, enthusiasts, and industries alike. Falcon2-11B, crafted… →

As AI technology progresses, models may acquire powerful capabilities that could be misused, resulting in significant risks in high-stakes domains such as autonomy, cybersecurity, biosecurity, and machine learning research and development. The key challenge is to ensure that any advancement in AI systems is developed and deployed safely, aligning with human values and societal goals… →

Artificial intelligence’s incorporation has become a paradigm shifter in the dynamic field of biological research. Artificial intelligence (AI) powered tools are revolutionizing bioinformatics, helping to speed up drug development and decipher genomic puzzles. Here are the top AI tools for genomics, drug discovery, and machine learning ML. DeepVariant  Google’s variant-calling tool is DeepVariant. This analysis… →