TechCrunch
FEBRUARY 23, 2022
QuantrolOx , a new startup that was spun out of Oxford University last year, wants to use machine learning to control qubits inside of quantum computers. As with all machine learning problems, QuantrolOx needs to gather enough data to build effective machine learning models. million (or about $1.9
TechCrunch
NOVEMBER 1, 2021
OctoML , a Seattle-based startup that helps enterprises optimize and deploy their machine learning models, today announced that it has raised an $85 million Series C round led by Tiger Global Management. “If you make something twice as fast on the same hardware, making use of half the energy, that has an impact at scale.”
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TechCrunch
AUGUST 13, 2021
Houston-based ThirdAI , a company building tools to speed up deep learning technology without the need for specialized hardware like graphics processing units, brought in $6 million in seed funding. It was when he was at Rice University that he looked into how to make that work for deep learning.
TechCrunch
NOVEMBER 4, 2022
Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. Predicting protein structures.
TechCrunch
JANUARY 7, 2022
The company creates optical sensors and novel classification systems based on machine learning algorithms to identify and track insects in real time. That data is turned into audio and analyzed by machine learning algorithms in the cloud. The key here: real-time information. The impact of this technology is clear.
TechCrunch
OCTOBER 25, 2022
Unlike conventional chips, theirs was destined for devices at the edge, particularly those running AI workloads, because Del Maffeo and the rest of the team perceived that most offline, at-the-edge computing hardware was inefficient and expensive. Axelera’s test chip for accelerating AI and machine learning workloads.
TechCrunch
AUGUST 30, 2022
Mavenoid , a Swedish company that provides both human- and AI-enabled support and troubleshooting tools for hardware companies, has raised $30 million in a series B round of funding. Hardware issues are repetitive, difficult, and time-consuming to fix. ” Technical support. .”
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