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MACHINE LEARNING VS DEEP LEARNING

#artificialintelligence

Deep Learning and Machine Learning are two subfields of Artificial Intelligence (AI) that use algorithms to learn patterns and make predictions based on data. Machine Learning algorithms, on the other hand, can have various structures, including decision trees, support vector machines, and more. Machine Learning algorithms, on the other hand, are typically designed for simpler problems with smaller data sets. Machine Learning algorithms, on the other hand, can be trained on smaller data sets and with less computational power. Machine Learning algorithms, on the other hand, are faster and easier to implement on simpler problems.


Data Integration Specialist at Bosch Group - Timișoara, Romania

#artificialintelligence

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Bosch Service Solutions is part of Bosch Group and a leading global supplier of Business Process Outsourcing for complex business processes and services. Using the latest technology, the opportunities of the Internet of Things and speaking over 18 foreign languages, Bosch Service Solutions Timișoara operates successfully in two fields: Business Services and Shared Services. The experts offer support in areas such as Finance, Accounting, Controlling, Purchasing and Sales Commercial. The team of professionals, also have expertise in areas such as Technical and IT, Customer Care, Production Support and other services.


Data Engineer at Eurowag - Praha 4, Czech republic

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WE are EW - founded just over 27 years ago Eurowag is one of the fastest growing, integrated mobility and payment solution companies in Europe. We focus on finding solutions that simplify the lives of commercial mobility companies. Our vision is to democratize the on-road mobility industry by creating sustainable financial & technological solutions for the benefit of our industry, society and the environment. THIS IS WHERE YOU COME IN... The Mission of Data Engineering is to define, develop and maintain overall data architecture covering all data domains within Eurowag.


Senior Data Analyst (HR) at Utility Warehouse - London, United Kingdom

#artificialintelligence

Together, we strive to find solutions to help the great people around us get on with the things that really matter in life. How? It's simple, we take the headache out of essential home services by providing them all in one place – energy, broadband, mobile, and even insurance. We're a truly unique FTSE 250 company with a business model that has a real social impact at the heart of it. Being a part of the UW community, you'll join a working environment like no other - one where everyone matters - be it our customers, our partners or you, our people. We are recruiting a Senior Data Analyst to join our People Data Team.


Data Engineer - Data & Insights – German Speaking at Nets - Ballerup, Denmark

#artificialintelligence

We are a part of Nexi Group - The European PayTech. Handling billions of transactions annually, Nets, is among the solid payment processors in Europe. We keep a tight focus on making it even easier and more intuitive for our customers to handle digital payments and related services. This has made us a trusted partner to more than 700,000 merchant outlets, including 140,000 online merchant outlets, more than 260,000 enterprises and over 250 banks across Europe. Changing the future of payments takes great personalities At Nets, you'll develop in a fast-growing tech company in a high-paced, high-impact market.


Etsy Engineering

#artificialintelligence

As new machine learning (ML) techniques continue to advance and provide the promise of better performance, platform teams everywhere are trying to adapt to support increasingly complex models. While many models served at Etsy still use "classic" model architectures (such as gradient-boosted trees), there has been a large shift and preference for deep learning techniques. The decision for the Search Ranking (SR) team to use deep learning in particular necessitated advances in ML Platform capabilities. In this post, we'll go over the workload-tuning and observability capabilities we created to combat the challenges serving deep learning ranking at scale within Etsy. Ranking use cases tend to be trickier to serve at low latency and low cost relative to other ML use cases.


Quad Accepts To Use Artificial Intelligence To Improve Cyber Security - AI Next

#artificialintelligence

According to the White House, the informal Quad alliance of Australia, India, Japan, and the United States has decided to deploy machine learning and other cutting-edge technology to improve cyber security. During a meeting of the Quad Senior Cyber Group on January 30 and 31, representatives from Australia, India, Japan, and the United States reaffirmed their commitment to advancing an inclusive, free, and open Indo-Pacific region, according to the statement. The Group pledged to use machine learning and related cutting-edge technologies in the long run to improve cyber security and create secure channels for private sector threat information sharing and Computer Emergency Response Teams (CERT), according to a statement released by the White House on Thursday. It added that these goals are a key component of the group's forward-thinking, cutting-edge work plan. The group also committed to developing a framework and methodology for ensuring supply chain security and resilience for information communication technologies (ICT) and operational technology (OT) systems of critical sectors.


Meta Will Launch Multiple Generative AIs in 2023, Says Zuckerberg - Metaroids

#artificialintelligence

Mark Zuckerberg, CEO of Meta, recently discussed the company's broad plans for artificial intelligence in 2023, although he couldn't help but mix in metaverse initiatives despite not being asked. According to Zuckerberg, Meta will be launching multiple generative AI products this year, but they need to tackle an efficiency problem first. "I'd say the two biggest themes [we'll ] focus on for this year is efficiency… and then [releasing] generative AI work." He further stated that Facebook has several work streams across its products, utilizing large language and diffusion models to generate images, videos, avatars, 3D assets, and more. Meta's aim is to empower creators to have better creative access and be more productive across the company's apps.


CapsuleAI

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CapsuleAI's Orca automates accurate Gameplay Review to better detect cheating and future-proof against Machine Learning (ML) cheats. This frees up game devs to spend their time where they really want - making great games! Let's see how it works Orca cheat detection analyses player behaviour to determine whether cheating has occurred. Detecting cheats in this way completely avoids considering the cheat mechanism, because the result of using a cheat will be observable, regardless of how it is implemented. Traditional anti-cheat, on the other hand, works by tackling specific mechanisms which enable cheating.


3 high-paying jobs where ChatGPT has successfully interviewed, and how much they pay

Mashable

ChatGPT, OpenAI's advanced chatbot developed from its language model GPT3, can do almost anything. From helping you to find love, draft cover letters and resumes to even writing poems in the voices of dead authors, ChatGPT has your back. The new fresh hell we find ourselves in now is ChatGPT has the ability to nail job interviews. Artificial intelligence may not be on the verge of replacing most jobs, but it's fascinating how easy it is for this simple chatbot to win over recruiters for some very high-paying positions. This recent trend of AI job-hunting shouldn't worry you yet, but we looked at some of the jobs ChatGPT is getting shortlisted for: According to PayScale, the average salary for a software engineer in the United States is around $90,000 a year.