TechCrunch
APRIL 7, 2021
One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.
TechCrunch
NOVEMBER 16, 2020
Arrikto , a startup that wants to speed up the machine learning development lifecycle by allowing engineers and data scientists to treat data like code, is coming out of stealth today and announcing a $10 million Series A round. “We make it super easy to set up end-to-end machine learning pipelines. .
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TechCrunch
JUNE 29, 2021
Zoom announced that it intends to acquire German startup Karlsruhe Information Technology Solutions or Kites for short, to bring real-time machine learning-based translation to the platform. Regardless, the fruits of the company’s research will now belong to Zoom.
TechCrunch
MAY 27, 2022
In 2015, the launch of YOLO — a high-performing computer vision model that could produce predictions for real-time object detection — started an avalanche of progress that sped up computer vision’s jump from research to market. He holds an S.M. in Applied Physics from Harvard University, an M.S. in Electrical Engineering and a B.S.
TechCrunch
JUNE 29, 2021
Orum CEO Stephany Kirkpatrick launched the company in 2019 after working for several years at LearnVest, a personal finance site founded by Alexa von Tobel that was acquired by Northwestern Mutual in 2015 for an estimated $375 million. Tobel went on to form Inspired Capital, a venture capital firm that put money in Orum’s $5.2
TechCrunch
MAY 25, 2022
began demoing an accelerator chipset that combines “traditional compute IP” from Arm with a custom machine learning accelerator and dedicated vision accelerator, linked via a proprietary interconnect, To lay the groundwork for future growth, Sima.ai by the gap he saw in the machine learning market for edge devices. .
InfoWorld
JANUARY 5, 2024
Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of acquiring data, training models, serving predictions, and refining future results.
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