Nvidia’s Groq 3 LPU Signals AI's Inferencing Era
…AI now has to do; in order to do, it has to inference.” Training and inference tasks have distinct computational requirements. While training can be done on huge amounts of data at…
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How accurate are large physics models?
But what about accuracy? For GM’s purposes, Strauss says accuracy is not a huge concern at the design stage because finer details are ironed out later in the process. “When it really starts to matter is when we’re getting close to launching a vehicle, and the coefficient of drag is going to be used for our energy calculation, which eventually goes to the certification of our miles per gallon on the sticker.” At that stage, Strauss says, a physical model of the car will be put into a wind tunnel for an exact number. PhysicsX’s Corbo argues that, with the right data, the AI model accuracy can su
AI Models Trained on Physics Are Changing Design EngineeringTop stories
Can AI Learn to Read the Room?
…But to an AI model that’s been trained only to categorize emotions as “happy” or “sad,” such nuances are likely lost. It logs the words and a smile and moves on…
Orbital Bets On a Mesh Of GPU Satellites for AI Inference
…Backed by Andreessen Horowitz (A16z), Orbital is designing infrastructure for AI inference, where trained models generate outputs. Much like other companies advocating for space-based data centers, Orbital is banking on the…
Dunking Computers to Keep Them Cool
…Tackling Data Center Water Strain - IEEE Spectrum › Data Center Liquid Cooling: The AI Heat Solution - IEEE Spectrum › overclocking water cooling climate tech cooling data centers immersion cooling air cooling ai water usage
AI Learns the "Dark Art" of RF Chip Design
…The datasets they had been trained on were too tiny to be effective. ImageNet’s massive amounts of training data ushered in a revolution that led to AI that can generalize and…
Why South Africa’s AI Policy Leverage Is Slipping Away Unused
…components are inside a system—model provider, training data, compute environment, evaluation methods, update cadence, human review points, and failure-reporting procedures—public-sector AI governance requires a clear account of the…
Why Does a Bank Need a Chief Scientist?
…A decade ago, Capital One went all in on the cloud and rebuilt its data ecosystem, creating a unified environment for data, compute, and AI and machine learning experimentation. Today, its modern…
DAIMON Robotics Wants to Give Robot Hands a Sense of Touch
…In turn, our partners leverage the data to train models tailored to their specific use cases. Furthermore, to drive the advancement of the entire embodied AI field, we have open-sourced 10…
Meet the Researcher Teaching Robots a Sense Of Uncertainty
…She says her research will help people working in the robotics and automation fields more efficiently collect the data needed for effective model training. Silicon Valley’s impact Kuo earned bachelor’s…
Guardrails for Chatbots Aim to Protect Hearts And Minds
…that training models on datasets that include examples of constructive disagreement, factual corrections, and objectively neutral responses, can rein in this effect. Software engineers are also looking at how AIs can be…