Fair forecast? How 180 meteorologists are delivering ‘good enough’ weather data
Weather forecasts, too, are all about data and models these days. But balancing accuracy and viability is a fine act, especially on a global scale and when the stakes are high. What’s a good enough weather prediction? That’s a question most people probably don’t give much thought to, as the answer seems obvious — an […]
Read More →The data science and AI market may be out for a recalibration
Data science roles are still "sexy" but not immune to the job market turmoil.
Read More →How to apply decision intelligence to automate decision-making
Decision intelligence is one of those terms that sound vaguely familiar, even if you’ve never come across it before. Like many category-defining terms, it can mean different things to different people. This is a feature category-defining terms either have by design, or acquire through extensive use.
Read More →Averting the food crisis and restoring environmental balance with data-driven regenerative agriculture
Modern agriculture was broken long before pandemics, wars, supply chain disruptions, and fertilizer shortages. Regenerative agriculture can fix it.
Read More →NVIDIA unveils Hopper, its new hardware architecture to transform data centers into AI factories
NVIDIA just announced Hopper, a new GPU architecture that promises significant performance improvements for AI workloads. We look under the hood to decipher whether the emphasis on Transformer AI models translates to a radical redesign, and look at the updates in the software stack.
Read More →Rendered.ai unveils Platform as a Service for creating synthetic data to train AI models
As more organizations are turning to synthetic data to feed their data-hungry machine learning algorithms, Rendered.ai wants to help.
Read More →Data, analytics, machine learning, and AI in healthcare in 2021
What do you get when you juxtapose two of the hottest domains today – AI and healthcare? A peek into the future, potentially.
Read More →Streamlining data science with open source: Data version control and continuous machine learning
Can an open source-based workflow leveraging version control and continuous integration and deployment help streamline machine learning, like it did for software development?
Read More →Data meets science: Open access, code, datasets, and knowledge graphs for machine learning research and beyond
A new interconnected ecosystem for research is shaping up, and machine learning is just the tip of the iceberg.
Read More →Lightning-fast Python for 100x faster performance from Saturn Cloud, now available on Snowflake
Python, the most popular language for data science and machine learning, gets a huge boost from Dask, an open source framework for running it in a distributed way on top of GPUs. Saturn Cloud, a startup offering Dask as service, is now a Snowflake partner, making Dask available to the masses
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