Tag: machine learning
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Accelerating ML through compilation: Building ML compiler that works
As the models are becoming bigger, ML compiler teams are faced with a number of new challenges when building compilers that enable the acceleration of ML models. In this article, I will try to demystify the process behind building an ML compiler.
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Achieving Intelligent Expert Search with AI
proSapient offers a feature packed and modern platform to support primary search — from expert consultations and transcripts to powerful surveys. We joined up with proSapient to help them build Darwin — a new expert self-sorting semantic search engine designed specifically to connect industry professionals to relevant projects using cutting-edge AI search and Machine Learning.
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Pushing the Frontiers of Automotive Industry: What’s Next for Autonomous Driving?
As history thought us, the industry reinvents itself in response to widespread changes, present situations, challenges and consumers’ needs. The future of automotive promises nothing less than automated, personalized seamless driving experience that matches the needs, imaginations and aspirations of a modern consumer. Software-Driven Transformation in Automotive Industry Is Gaining Momentum The transition from…
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Revolutionizing Healthcare: Top Trends Shaping the Medical Device Industry
Welcome to the dawn of a new era in healthcare, where cutting-edge technologies and innovative approaches are transforming the landscape of the medical device industry. In this article, we delve into the most groundbreaking trends shaping the future of healthcare, from the integration of artificial intelligence and machine learning to the rise of telemedicine and…
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Could Synthetic Data be the Future for Machine-Learning Models?
According to Synthetic Data Generation Market report published in December 2022 by Allied Market Research, the global synthetic data generation industry was valued at $168.93 million in 2021 and is projected to reach $3.5 billion by 2031. Source: Gartner, “Maverick Research: Forget about Your Real Data – Synthetic Data Is the Future of AI” –…
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Bringing the Future of Genomics into Focus
Bioinformatics scientist, a doctor, a professor at the Faculty of Medicine, lecturer and philanthropist, and now Machine Learning Tech Lead at HTEC, Ognjen Milicevic is a man of impressive versatility of interests who believes that many exciting branches can unite life sciences and applied mathematics. However, the emerging field of genomics fascinates him the most.…
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“IoT is transformational technology — it provides the interface to the real world”
Milan has an impressive background and extensive experience in leading numerous projects involving IoT system architecture and implementation. From IBM to Intel Labs, he has been part of many global thriving organizations and is also an acclaimed author of several textbooks and a book “Internet of Things: Concepts and System Design”. The list of achievements…
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Top Trends That Are Changing the Financial Services Game
Trends such as Fraud Detection, Anti-Money Laundering, and KYC (Know Your Customer) emerge as the 3 most up-to-date trends affecting every Western European bank and their processes. Banks are presented with a tough choice: risk failing or commit to tech innovation. The time has come for them to reconsider their traditional approaches and challenge their…
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AI at Scale: How Media Companies Can Make Every Customer Feel like the Only Customer
Data is everywhere — true or fake, captivating or boring, irrelevant or essential. But people are time sensitive — they don’t want to waste their time on irrelevant news; they need to find what they want right now. On the other hand, Media and Entertainment companies now have more access to this ever-expanding pool of…
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ERP Systems in HealthCare: What’s Next?
More than 95% of hospitals possess an Electronic Health Record (EHR) system. However, EHRs have shown to be lacking in easing patient care, especially when they operate in the disjointed world of hospital logistics, personnel, and planning. The workflows, patient, staff, and practitioner realities don’t ease when you have patient data in one place. EHRs can…