socalTECH

OCTOBER 30, 2017

AT&T --which has been ramping its operations and presence in the tech world in Los Angeles--said today that it is unveiling a new artificial intelligence (AI) platform called Acumos. The new, open-source platform is aimed at enabling programmers and researchers to more easily develop machine learning and AI software.

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TechCrunch LA

APRIL 9, 2020

“If I had to put a constraint on it I would say we are not good at AR/VR and machine learning and some obscure features 99% of people don’t need [or] want.” Essentially speaking, if you can design it it can be made a functional app in our builder,” Redman wrote in an email. They can fill in the details later.”

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socalTECH

MARCH 12, 2019

A new, Irvine-based startup AONdevices --based in the EvoNexus incubator--said this morning that it has launched its company, which is developing artificial intelligence (AI) systems-on-a-chip (SoC) technology to enable embedding of voice control technology in devices like smartphones and wireless headsets. READ MORE>>.

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Xconomy

AUGUST 10, 2016

On the day after Intel announced its acquisition of San Diego machine learning startup Nervana Systems, investor Steve Jurvetson told me he was feeling a sense of satisfaction about a call he made three years ago, and how it has been playing out.

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TechCrunch LA

NOVEMBER 8, 2022

A proliferation of startups is now trying to devise applications for this new class of language model , where the machine is capable of creating new text, images and videos based on simple human input. The platform is going after marketers with a Canva-style drag-and-drop interface.

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Startup Professionals Musings

SEPTEMBER 29, 2022

Before you start collecting new data, spend some time defining the frameworks and connections you need. I suggest visual frameworks you can create today. To truly comprehend the value of multiple data sources, you must stay open to new ideas, and ready to learn new lessons from uncharted territory.

Framework 119

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socalTECH

MARCH 12, 2019

Two of the hottest sectors in the market today for investments and startups are in the area of machine learning/big data and advancements in automotive technology. What are some of the challenges of big data and machine learning today you have encountered? We've built everything from the ground up on our side.

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