From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

ZoomInfo reports a growing demand for GTM engineers, pivotal in automating revenue operations, with competitive salaries and ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

There are many reasons why psychological treatments aren’t more effective. In principle, misdiagnosis is the easiest of them ...

Presented by the Business in Vancouver (BIV), the BC Export Awards highlight the successes of exporting companies and British ...

An analysis of over 41 million research papers from the past 40 years has revealed that researchers who use artificial ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Peer review has met its match.

Alex LeBrun, cofounder of medical scribe startup Nabla who LeCun hired to be the CEO of Advanced Machine Intelligence, thinks the startup’s new AI models could start to roll out in a year, with ...

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...