Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Valve made waves last month upon the announcement of a slew of new Steam hardware. The company launched a sequel to the Steam Controller and course-corrected the metaverse with the Steam Frame. But ...

There’s a new block on the block, or at least there will be soon. The Steam Machine, Valve’s new cuboid mini gaming PC disguised as a game console is coming early next year. And that’s exciting! I ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Steam Machines are back for the first time since Valve teamed up with manufacturers like Alienware and Lenovo back in the 2010s. But while those original console-PC hybrids failed because of a lack of ...

Valve announced the Steam Machine today alongside a new Steam Frame VR headset and a new Steam Controller. Following up on the success of its Steam Deck, Valve is clearly attempting to bridge the ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

RPG Larian's head writer has a simple answer for how AI-generated text helps development: 'It doesn't,' thanks to its best output being 'a 3/10 at best' worse than his worst drafts Graphics Cards 'It ...

Tektronix has introduced the MP5000 Series modular precision test system, marking a new modular era at the company. The automated test system enables engineers to combine precision source measure ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Experiment tracking is an essential part of modern machine learning workflows. Whether you’re tweaking hyperparameters, monitoring training metrics, or collaborating with colleagues, it’s crucial to ...