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Artificial intelligence and other tech trends to follow in 2022


Google CEO Sundar Pichai said, "Artificial Intelligence is more profound than fire, electricity, or the internet." His words certainly make sense owing to AI's contributions to the world, climate change, space exploration, or developing cancer treatments. The way AI enables machines to make decisions faster with more accuracy than a human mind is truly extraordinary. It indicates the power of AI and how it can unlock unimaginable possibilities in life. With this backdrop in mind, here's a list of top tech trends that businesses must focus on and invest in: AI has been game-changing across various industries.

Powering Semantic Similarity Search in Computer Vision with State of the Art Embeddings


A whopping 90% of data created since the dawn of human civilization was produced in the past two years! The rate of data creation continues to increase with the proliferation of digital technologies such as social media and the internet of things (IoT) together with ever-faster wireless communication technologies such as 5G. However, most new data created is "Unstructured," such as text, images, audio, and video [Source]. Unstructured data gets its name because it does not have an inherent structure, unlike a table of rows and columns. Instead, unstructured data contains information in one of several possible formats. For example, e-commerce images, customer reviews, social media posts, surveillance videos, speech commands, etc., are rich sources of information that do not follow the traditional tabular data format. Recent advances in Artificial Intelligence (AI) and Machine Learning (ML) technologies have created a way to extract useful information from unstructured data sources in a scalable way by the use of "embeddings."

Leveraging AI to Optimize Networks and Secure Data – Thought Leaders


Massive amounts of data are being generated daily; by some accounts, a staggering 2.5 quintillion bytes of data are being created every day. In today's world, proprietary data is one of the most valuable assets organizations have, it underpins the operations, identifying ways to improve processes and increase efficiencies, it provides insights into customer information, purchasing behavior and contains supply chain information. An organization's data is one of the most crucial elements of its business, and it must be protected. Unfortunately, humans alone can't possibly manage the volumes of data on their own. Aside from that, and more importantly and frightening is how much of an organization's data is left unmonitored, with the majority of networks unprotected.

Pinaki Laskar on LinkedIn: #conversationsforchange #futureofwork #metaverse


AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What is The Next Big Thing in #AITechnology - Reality, Causality and Mentality? The Next Game is Reality and Causality. The main features involved in the Causal Revolution are disruptive scientific and technological changes, as in: A comprehensive, consistent and coherent causal model of the world for humans and computers. Real AI as Causal Machine Intelligence and Learning involves Causal Logic and Causal Models, Causal Learning, Causal Understanding and Causal Decision, Predictions and Action. Formal Symbolic Logic, as propositional, first/second/higher order predicate logic, as logical relations or part-whole relations, made the engine of #SymbolicAI, and largely blamed for two long "AI winters".

GitHub - deepmind/xmanager


XManager is a platform for packaging, running and keeping track of machine learning experiments. It currently enables one to launch experiments locally or on Google Cloud Platform (GCP). Interaction with experiments is done via XManager's APIs through Python launch scripts. To get started, install XManager, its prerequisites if needed and follow the tutorial or codelab.ipynb to create and run a launch script. Or, alternatively, a PyPI project is also available.

How Clearly accurately predicts fraudulent orders using Amazon Fraud Detector


This post was cowritten by Ziv Pollak, Machine Learning Team Lead, and Sarvi Loloei, Machine Learning Engineer at Clearly. The content and opinions in this post are those of the third-party authors and AWS is not responsible for the content or accuracy of this post. A pioneer in online shopping, Clearly launched their first site in 2000. Since then, we've grown to become one of the biggest online eyewear retailers in the world, providing customers across Canada, the US, Australia, and New Zealand with glasses, sunglasses, contact lenses, and other eye health products. Through its mission to eliminate poor vision, Clearly strives to make eyewear affordable and accessible for everyone.

Startup's Sorting Machines Use AI to Protect Healthy Fish Eggs


Fisheries collect millions upon millions of fish eggs, protecting them from predators to increase fish yield and support the propagation of endangered species -- but an issue with gathering so many eggs at once is that those infected with parasites can put healthy ones at risk. Jensorter, an Oregon-based startup, has created AI-powered fish egg sorters that can rapidly identify healthy versus unhealthy eggs. The machines, built on the NVIDIA Jetson Nano module, can also detect egg characteristics such as size and fertility status. The devices then automatically sort the eggs based on these characteristics, allowing Jensorter's customers in Alaska, the Pacific Northwest and Russia to quickly separate viable eggs from unhealthy ones -- and protect them accordingly. Jensorter is a member of NVIDIA Inception, a program that nurtures cutting-edge startups revolutionizing industries with advancements in AI, data science, high performance computing and more.

Introduction to Self Driving Cars


Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. Self Driving Cars also called autonomous cars, are capable of driving with little or no input from the driver.

Calculating Nutrition Facts with Computer Vision --


Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. The second most populous country in the world, India has enjoyed steady economic growth and has achieved self-sufficiency in grain production in recent years.

Nvidia to arm Indonesian university students with AI skillsets


Nvidia is looking to impart its artificial intelligence (AI) knowledge to Indonesian university lecturers and students over the next five years. The chipmaker also will provide its DGX A100 systems to support AI education in the Asian nation. Nvidia on Thursday said it signed an agreement with Indonesia's Ministry of Education, Culture, Research, and Technology (Kemendikbudristek) to arm university lecturers and more than 20,000 students in AI skills. The five-year initiative aimed to develop local AI talent as part of the country's digital transformation efforts, the GPU manufacturer said. The agreement encompassed AI curriculum development, translation research workshops, as well as AI startup ecosystem development and support, Nvidia said.