The accuracy of predictive modeling depends on the sample data's quality, and a robust model learned from that data. Data leakage may occur when the test and training data are shared in a model, resulting in either poor generalization or over-estimating a machine learning model's performance.
The accuracy of predictive modeling depends on the sample data's quality, and a robust model learned from that data. Data leakage may occur when the test and training data are shared in a model, resulting in either poor generalization or over-estimating a machine learning model's performance.
In this episode, we discuss Boom’s supersonic passenger jet prototype, how AI is being used to screen drugs for tuberculosis, and how 5G might be affecting your weather forecasts.
As children grow up in an increasingly connected world, it’s essential they understand not only the potential but also the inherent risks of emerging connected technologies.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
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"MechStyle" allows users to personalize 3D models, while ensuring they're physically viable after fabrication, producing unique personal items and assistive technology.
A simulation of an individual patient's brain tumors, kept up to date with readily available data, can identify whether dietary treatments and drugs are likely to work.
Hey Tuya showcases how agentic Physical AI evolves assistants from isolated commands into systems that learn context, coordinate devices, and act reliably across real-world environments.
This episode celebrates five years of The Next Byte with a recap of 2025, highlighting standout episodes through The "Saucies" Awards, reflecting on major trends, sharing predictions for 2026, and thanking the global listener community.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
The accuracy of predictive modeling depends on the sample data's quality, and a robust model learned from that data. Data leakage may occur when the test and training data are shared in a model, resulting in either poor generalization or over-estimating a machine learning model's performance.
In this episode, we discuss Boom’s supersonic passenger jet prototype, how AI is being used to screen drugs for tuberculosis, and how 5G might be affecting your weather forecasts.
As children grow up in an increasingly connected world, it’s essential they understand not only the potential but also the inherent risks of emerging connected technologies.
3 minutes read
The next step in machine learning, how 3D printing will change the airline industry, and why flies hold the secret to robotic flight.
Digitization and artificial intelligence (AI) play a key role in addressing the many challenges facing agriculture. In order to make use of the enormous potential of intelligent technologies, a trustworthy and powerful IT infrastructure is needed.
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
Duke team disentangles neural networks to understand how they see the world
A new approach to image search uses images returned by traditional search methods as nodes in a graph neural network through which similarity signals are propagated, achieving improved ranking in cross-modal retrieval.
14 minutes read
Convened by the MIT Schwarzman College of Computing, the AI Policy Forum will develop frameworks and tools for governments and companies to implement concrete policies.
Scientists working at the intersection of AI and cancer care need to be more transparent about their methods and publish research that is reproducible, according to a new commentary co-authored by CSAIL's Tamara Broderick.
Manual singulation of huge piles of parcels and envelopes, followed by sorting and placing them on a conveyor belt, gets challenging, especially during peaks. Automation of this process can increase productivity, save costs and time, and reduce injuries.
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Artificial intelligence (AI) can become more efficient and reliable if it is made to mimic biological models. New approaches in AI research are hugely successful in experiments.
What can Artificial Intelligence (AI) and robotics do to improve the recycling rate for large pieces of waste?
How will they help customers in their industrial applications? Photoneo’s Marcel Svec, Director of 3D Sensing, and Svorad Stolc, Head of R&D, have answered this and other questions.
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Thanks to advances in technologies such as 3D machine vision, robotics is entering all spheres of industrial processes. The COVID-19 outbreak has boosted awareness of the pressing need to apply automation for fast and accurate order fulfillment and efficient supply chains.
6 minutes read
