Blog: Empowering Europe’s Innovation
As the global landscape of High-Performance Computing (HPC) and Artificial Intelligence (AI) enters a transformative era, Europe is making a groundbreaking leap forward. At the forefront of this movement is JUPITER, Europe’s first Exascale computer
Are machines capable of human-like intelligence?
Anyone who has ever wondered whether machines are really capable of human-like intelligence will inevitably come across the so-called Turing test. Our Tech-Know-how to go explains what’s behind it.
Productivity growth through Gen AI
By 2030, up to 30% of current work hours could be automated, driven by the rapid adoption of generative AI. This key insight comes from McKinsey Global Institute’s latest study.
AI in renewable energy
Latest study by market research and consultancy firm Allied Market Research shows AI holds the potential to revolutionize the entire renewable energy sector.
How generative AI revolutionizes public health sector
While generative AI has made significant strides in various industries, the healthcare sector has been slower to embrace this transformative technology.
How generative AI is changing product R&D
Generative Artificial Intelligence is a technology catalyst. Not only can it deliver added value in specific use cases like medicine or marketing, the technology could drive value across an entire organization by revolutionizing internal knowledge management systems.
Open source vs proprietary models of generative AI
The debate about proprietary versus open source development models has been going on in the software industry for decades. What are the advantages (+) and what are the disadvantages (-)? Our tech know-how to go explains.
Glossary: High Performance Computing
High-Performance Computing (HPC): High-performance computing uses supercomputers and other compute clusters to solve particularly complex, computationally intensive tasks.
Glossary: Quantum Computing
Quantum Computing (QC): Uses the principles of quantum mechanics (e.g., superposition, entanglement, and interference) for computation and uses quantum bits (Qubits) instead of classical bits.
Why AI needs Exaflop computers
exaflop supercomputers for artificial intelligence are needed to provide the computing power required for complex AI algorithms, big data analysis, modeling and simulations, and to enable greater scalability for the increasing demands of AI.
