A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...
What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...
Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand ...
Market is projected to grow from US$ 1.02 billion in 2024 to US$ 13 billion by 2033, with a CAGR of 32.66%. Key growth drivers include rising demand for AI-driven solutions, a shortage of skilled data ...