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Carrot and Luxboro Launch IoT Joint Venture - PR Newswire APAC

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Carrot ("Carrot" or the "Company") and Luxrobo announced today the establishment of a Joint Venture (JV) that brings together two premier tech companies from the field of digital insurance and IoT-technology. Together they operate as Lucky Box Solutions Inc. to deliver the most optimized IoT systems and telematics devices while positioning itself as the leader of InsurTech, industry that has become the noise of the town in recent years. Both companies have established proven track records of providing innovation in emerging sectors and are poised to offer cutting-edge solutions in the areas of Artificial Intelligence, Machine Learning, Data Interoperability, Analytics and Processing, and Internet of Things while providing risk prevention and insurance protection services. Carrot has made a name for itself over the past few years by providing modernized insurance service to the consumers of South Korea with its customer-centered design of Pay-Per-Mile auto insurance product. As seen with its top-tier customer retention, customers are highly praising for its fair and transparent pricing, month-end payment term, IoT-driven emergency and other value-added services, and cash incentive program that rewards customers based on their safe-driving scores.


AI/ML, Data Science Jobs #hiring

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Need Help -- An AI / ML Enthusiast Professional with 18+ years of experience in SAP (ERP)…

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Reaching out to you with a request for Career related advice / input. I am a professional with about 18 years of experience in advisory services and implementation of SAP solutions across industries and geographies, presently working with a consulting firm in the U.S. I am a Chartered Accountant from India by education. From 2018, I started focusing on ML/AI as my parallel interest / career in addition to SAP. For the last four years, I started putting efforts to learn fundamentals of the ML/AI domain. I read multiple blogs, books, completed courses as well as completed PoC for a few Embedded Machine Learning solutions of SAP.


Python and Machine-Learning for Asset Management with Alternative Data Sets

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Founded in 1906, EDHEC is now one of Europe's top 15 business schools . Based in Lille, Nice, Paris, London and Singapore, and counting over 90 nationalities on its campuses, EDHEC is a fully international school directly connected to the business world. With over 40,000 graduates in 120 countries, it trains committed managers capable of dealing with the challenges of a fast-evolving world. Harnessing its core values of excellence, innovation and entrepreneurial spirit, EDHEC has developed a strategic model founded on research of true practical use to society, businesses and students, and which is particularly evident in the work of EDHEC-Risk Institute and Scientific Beta. The School functions as a genuine laboratory of ideas and plays a pioneering role in the field of digital education via EDHEC Online, the first fully online degree-level training platform.


Valeo says next-gen lidar can enable Level 4

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A recent Valeo test vehicle in Tokyo demonstrated how Scala lidars and a front camera, combined with vehicle-to-infrastructure communication, could autonomously steer through crowded boulevards, thread between lumbering trucks and zipping passenger vehicles, while navigating pedestrians. The system is Level 4-capable but operates in Level 2 mode during public testing, with a Valeo engineer always at the ready to take control. The self-driving system had its faltering moments, usually while negotiating scenarios that require bending traffic rules -- such as leaving a lane to go around idling trucks or bicyclists. And the steering and braking aren't always as smooth as would be done with a human touch. Valeo engineers say that coming versions will better address such borderline scenarios.


ISO/IEC AI workshop - JTC 1

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Babak Hodjat is the CTO for AI at Cognizant where he leads a team of developers and researchers bringing advanced AI solutions to businesses. Babak is the former co-founder and CEO of Sentient, responsible for the core technology behind the world's largest distributed artificial intelligence system. Babak was also the founder of the world's first AI-driven hedge-fund, Sentient Investment Management. Babak is a serial entrepreneur, having started a number of Silicon Valley companies as main inventor and technologist. Prior to co-founding Sentient, Babak was senior director of engineering at Sybase iAnywhere, where he led mobile solutions engineering.


How can India make its technology policy powerful, innovative, and secure?

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Can we ever rein in the Big Tech firms to foster indigenous innovation, stimulate balanced growth, and protect national sovereignty? Can we have a balanced set of rules and a clear framework to safeguard larger public interest? Can we check the weaponisation of the internet with balanced cybersecurity and secure data governance framework to make Google (Alphabet); Apple; Facebook (Meta); Amazon; and Microsoft, besides others, more responsible and resilient? Look around, Big Tech run most of the digital services that are integral and ubiquitous to our life. Our minds, economy, national security, democracy, and progress are invisibly controlled by a few technology firms.


Hai Robotics eyes global expansion as warehouse automation boots up

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Hai Robotics makes robots for moving and sorting boxes in warehouses, a market estimated to reach US$41 billion globally by 2027.


A Deeper Understanding of Deep Learning

Communications of the ACM

Deep learning should not work as well as it seems to: according to traditional statistics and machine learning, any analysis that has too many adjustable parameters will overfit noisy training data, and then fail when faced with novel test data. In clear violation of this principle, modern neural networks often use vastly more parameters than data points, but they nonetheless generalize to new data quite well. The shaky theoretical basis for generalization has been noted for many years. One proposal was that neural networks implicitly perform some sort of regularization--a statistical tool that penalizes the use of extra parameters. Yet efforts to formally characterize such an "implicit bias" toward smoother solutions have failed, said Roi Livni, an advanced lecturer in the department of electrical engineering of Israel's Tel Aviv University.


Global Big Data Conference

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We were days away from IPO. We had raised $100 million in funding and exploded from a team of 50 in a garage to 600 in 18 months. One million technologists joined our platform. We were the next big deal. It was the turn of a new millennium.