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We know you’re busy and maybe don’t have time to check out VentureBeat every day – even though we think you should – so every week we’ve got you covered with this look at the most popular stories. of the week.
If you’re looking to follow the money, contributor Louis Columbus examines which IT certifications offer the biggest salary for tech professionals. Writer Sri Krishna reports on Hugging Face’s inference endpoints and how the AI-as-a-service offering is designed to support the largest enterprise workloads. Krishna also explains how Colossal Biosciences, the company that breathed new life into the woolly mammoth, is creating a new company to offer its life platform that bridges the gap between data and discovery to other companies.
Editor-in-chief Sharon Goldman delves into deep fakes and how artificial intelligence (AI) and machine learning (ML) technology spread misinformation. Goldman also chats with LinkedIn’s vice president of engineering and head of data and artificial intelligence about how she lands top data science talent.
Here are more of our top five tech stories of the week:
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- 15 Highest Paying IT Certifications for 2022
Of the many certification types and purposes, security certifications are the most lucrative, with an average annual salary of $153,154. For cloud certifications, the average salary is $150,961. AWS certifications – despite having the highest paying certification as mentioned above – are just a bit lower on average overall, with the annual salary hovering around $149,371.
Technology professionals with one or more certifications continue to see strong demand in the job market. For example, LinkedIn job postings today show 117,000 open cybersecurity jobs looking for candidates with at least one of the four security certifications on the top 15 list. -below. There are also 88,200 open jobs listed on the platform for candidates who hold at least one cloud architect certification.
- Hugging Face takes a step towards democratizing AI and ML
New York-based company Hugging Face, which aims to democratize AI and ML through open source and open science, has launched Inference Endpoints. The AI-as-a-service offering is designed to be a solution to support large enterprise workloads, including in regulated industries that are heavy users of transformer models, such as financial services (eg, isolated environments), healthcare (eg, HIPAA compliance), and consumer technology (eg, GDPR compliance).
The company says Inference Endpoints will enable more than 100,000 Hugging Face Hub users to go from experimentation to production in just minutes.
- Colossal Biosciences Launches Form Bio Software, Delivers Platform for Advanced AI-Based Applications
Colossal Biosciences, the self-proclaimed de-extinction company behind the woolly mammoth and thylacine, has just announced that it is parting ways with Form Bio, as an independent software company offering a life science computing platform that bridges the gap between data and discovery.
Driven by deep learning artificial intelligence (AI) algorithms, Form Bio offers life scientists a software platform to manage large datasets, run verified workflows, visualize results and collaborate with their peers. The platform brings these capabilities together into a cohesive unit with a user experience designed to simplify computing work and power life science breakthroughs in businesses, labs, and universities.
- Deep New Threats Loom, Microsoft Chief Science Officer Says
Deepfakes, or high-fidelity synthetic and fictional depictions of people and events leveraging artificial intelligence (AI) and machine learning (ML), have become a common tool of misinformation over the past five years. But according to Eric Horvitz, chief scientific officer of Microsoft, deep new threats are looming on the horizon.
A new research paper from Horvitz indicates that interactive and compositional deepfakes are two growing classes of threats. In a Twitter thread, MosaicML researcher Davis Blaloch described interactive deepfakes as “the illusion of talking to a real person. Imagine a scammer calling your grandma who looks and sounds exactly like you.
Compositional deepfakes, he continued, take it a step further with a bad actor creating numerous deepfakes to compile a “synthetic story”.
- LinkedIn leader Al shares 3 characteristics of top data science talent
In a new interview with VentureBeat, Ya Xu, Vice President of Engineering and Head of Data and Artificial Intelligence (AI) at LinkedIn, is more than happy to share her thoughts on everything from her passion for bringing science and engineering to the top traits she looks for when interviewing data science talent.
Xu said there were three important things she looked for in contestants. First, is the individual mission-oriented and impact-oriented? Next, Xu wants to hire people who are – unsurprisingly – collaborative. On top of that, she said hiring people who are willing to learn, adapt and stay curious is a priority.
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