Scientific Computing | Scientific Computing World
WEBSilicon photonics illuminates a path for future AI models. Celestial AI’s Dave Lazovsky discusses how photonics can deliver a transformative leap in AI system performance by redefining interconnect technology for computing and memory infrastructure.
The future of computational science | Scientific Computing World
WEBThe future of computational science. Computational science has progressed steadily over the past decade. Improvements in computing performance allow us to model much more complex chemical, biological, and materials systems, and to understand increasingly large quantities of data. But these advances require finesse, as well as power.
Breakthroughs | Scientific Computing World
WEBThe power of scientific computing is changing our world. Breakthroughs is a unique collection of interviews with the thought leaders spearheading that innovation across five distinct areas. These inspiring stories – and the case studies they reveal – will help translate technical benefits into tangible results for engineers, scientists and ...
Realising the potential of AI and HPC - Scientific Computing
WEBThe convergence of artificial intelligence (AI) and high-performance computing (HPC) promises to transform the scientific computing landscape, with its potential to enable research groups to tackle challenges that would otherwise have been beyond their capabilities. Over the past decade, we have begun to see AI penetrate nearly all industries ...
Quantum Computing: Accelerating the Path to a Sustainable ...
WEBIn conclusion, the path to a sustainable supercomputing future lies in leveraging the strengths of both classical and quantum computers. Quantum computers, with their low energy consumption and exponential computational growth, offer a promising solution to the energy challenges faced by the supercomputing sector.
The true cost of AI innovation | Scientific Computing World
WEBThe future of AI needs to be green. The growth and proliferation of AI shows no signs of abating. According to research firm IDC, worldwide spending on AI systems will be close to $98 billion (£75.4 billion) in 2023. If, as the UN has warned, 2020 is the year that the world must act to avoid runaway climate change, the field of AI – and the ...
Why it’s time to get quantum ready | Scientific Computing World
WEBBy getting ‘quantum ready’ you can be part of shaping a big part of the future of computing in a way that not only boosts your research - but also helps the world’s scientific communities unlock the full potential of quantum computing. Gemma Church is the head of comms at Universal Quantum, a UK quantum hardware company that’s building ...
An AI revolution | Scientific Computing World
WEBAn AI revolution. The confluence of data, compute power and advances in the design of algorithms for AI (artificial intelligence) and ML (machine learning) are driving new approaches in the laboratory. This gives scientists access to additional tools that can open new avenues for research or accelerate existing workflows.
Accelerating life science research | Scientific Computing World
WEBLife science researchers are tasked with progressively complex simulations. This increasing complexity requires considerably more computational power, which is why some scientists are turning to the use of high-performance computing to accelerate their simulations.
The many shades of data intensive | Scientific Computing World
WEBDr Jianquing Fan of Princeton has pointed out that Big Data is distinguished not only by size but also by high dimensionality as well. Typically, data variables around each item can be highly multivariate, and data sets can be irregular …