Amazon launches computer vision service to detect defects in manufactured products

Amazon

Amazon announced the general availability of Amazon Lookout for Vision, a cloud service that analyzes images using computer vision and AI to spot product or process defects and anomalies in manufactured products. Amazon says Lookout for Vision, which is available in select Amazon Web Services (AWS) regions via the AWS console and suppo

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Tesla Working on Full Self-Driving Mode, Extending AI Lead 

Tesla Model car

Tesla’s goal to release its level 5 Full Self Driving (FSD) mode autopilot capability in 2021 was deemed unrealistic by the CEO of competitor Waymo in a recent interview.  Tesla is the only autonomous vehicle manufacturer using real-time cameras, rather than pre-mapped Lidar (Light Detection and Ranging) to guide vehicle movement. Tesla also…

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How to encode Time-Series into Images for Financial Forecasting using Convolutional Neural Networks

Within forecasting there’s an age old question, ‘is what I am looking at a trend?’ Within the realm of statistics there are many tools that, with various degrees of success, answer said question. Yet, no approach has been able to achieve that which started the field of data forecasting in the first place. Looking at a graph derived from the data and drawing conclusions from it. However, thanks to Deep Learning and Artificial Neural Networks that is about to change. Welcome Computer Vision!

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Artificial Intelligence (AI) for disease diagnosis

Disease Diagnosis

Health is undoubtedly the most important factor in life. In 2019, 58.39 million people died and 2020 is projected to claim 59.23 million lives. The top three causes of global death rates are cardiovascular, respiratory, and neonatal disorders. Despite all scientific research and development, diseases are still a major threat to existence. As AI is transforming almost all the aspects of our lives, researchers felt the dire need to incorporate artificial intelligence in combating the disease.

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AI-powered math tutoring app Photomath raises $23 million

AI Math Tutoring

AI-powered math tutoring app Photomath today announced that it raised $23 million in series B funding. The company says the proceeds will be used to grow headcount, invest in AI, and scale both product and marketing development. An estimated 65% of households in the U.S. with children report using online learning during the pandemic, with 11% reporting having no live contact with a teacher in the past week (as of November 2020).

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Allen Institute For AI (AI2) Launches The 2.7.0 Version of AI2-THOR That Enables Users To Reduce Their Training Time Dramatically

AI2-THOR

Allen Institute for AI (AI2) has recently announced the 2.7.0 release of AI2-THOR. AI2-THOR is an open-source interactive environment for training and testing embodied AI. The 2.7.0 version of AI2-THOR contains several performance enhancements that can provide dramatic training time reductions. The new version introduces improvements to the IPC system between Unity/Python and serialization/deserialization format. It includes new actions that are much better to control the metadata. 

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Edgybees raises $9.5 million for AI that augments drone camera footage

Drones

Edgybees, a provider of georegistration and augmented reality tools for drone operators, today announced that it raised $9.5 million, bringing its total raised to $15 million. The company says the proceeds will be used to drive product research, expand global adoption, and support an “aggressive” hiring strategy.

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10 innovative companies using Artificial Intelligence (AI)

Man holding innovation sign

All major tech giants, including Google, Microsoft, and Apple, are introducing extraordinary Artificial Intelligence (AI) features in their systems. Siri and Alexa personal assistants are examples of AI as a service and becoming the must-to-have devices in the USA homes. Innovated machine breakthroughs like self-driving cars are no more a dream but a reality now. AI has truly revolutionized the world we live today – surrounded by many gadgets, devices, and tech that is influenced by machine learning, deep learning and data science.

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Using AI to detect and count Plastic Waste in the Ocean

AI environment

Odei Garcia-Garin et al. from the University of Barcelona have developed a deep learning-based algorithm able to detect and quantify floating garbage from aerial images. They also made a web-oriented application allowing users to identify the garbage known as floating marine macro-litter, or FMML, within images of the sea surface. Watch the video.

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The product-Market fit of AI technologies

AI use cases Retail

A strategy is a roadmap for organisations to hone them to their respective objectives. From marketing strategies to product roadmap strategies, success is cemented on how such plans are executed. Along the way, a lot has to be negotiated and metrics traded off against one another that will either provide a tactical remedy or a strategic panacea. While it is the team that works towards such a role, the vision of the leadership ought to encompass and adapt to the various weathers of corporate ups and downs. This whole process…

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3D Scene understanding with TensorFlow 3D

3D Scene understanding

The growing ubiquity of 3D sensors (e.g., Lidar, depth sensing cameras and radar) over the last few years has created a need for scene understanding technology that can process the data these devices capture. Such technology can enable machine learning (ML) systems that use these sensors, like autonomous cars and robots, to navigate and operate in the real world, and can create an improved augmented reality experience on mobile devices. r.

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What is Artificial Intelligence? How does AI work, types and the future of it?

Head

The intelligence demonstrated by machines is known as Artificial Intelligence. Artificial Intelligence has grown to be very popular in today’s world. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks. As technologies such as AI continue to grow, they will have a great impact on our quality of life.

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Apple’s self-driving car strategy may be stuck in neutral

KIA Motors factory

After weeks of confusion and contradictory news, it has almost become confirmed that Hyundai-Kia will start manufacturing Apple’s mysterious self-driving electric vehicle at one of its factories in 2024. Or later. Or not at all.
As is with nearly all news coming from Apple, the report is shrouded in secrecy, unconfirmed facts, and lots of quotes from anonymous sources. But this latest news does have some key points that, if true, paint a clearer picture about Apple’s self-driving plans — and leave many more questions unanswered about the future of the company.

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Graphcore IPU gets a public Cloud Boost

Graphcore cloud services

Graphcore, the U.K. AI chip developer, is expanding its roster of cloud partners to include Cirrascale Cloud Partners, a deep learning infrastructure specialist. The result of the collaboration is a scalable AI cloud platform dubbed Graphcloud that provides access to Graphcore’s second-generation intelligent processing unit, or IPU, and accompanying software stack.

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Cure.fit acquires AI body tracker Onyx to enable two-way workout videos

Cure.fit’s acquisition of Onyx is significant for technical decision makers because it demonstrates how applied computer vision AI technologies will upend or dramatically improve well-established businesses. As impressively produced as Cure.fit’s workout videos may be, their limited interactivity is a disadvantage compared to new competitors such as Apple’s new Fitness+ app, which can use wearables to track biometric information.

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Applications of Artificial Intelligence in Fire & Safety

Being a student secretary of the Fire and Security Association of India at my college, I have conducted various surveys and workshops on methodologies to avert the dangers caused due to fire. As an AI enthusiast, I have always aspired to come with innovative solutions to tackle such issues. My experience in the fire and safety domain with competence in building AI solutions motivated me to think of possible solutions to tackle problems faced by the fire department.

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Microsoft releases Unadversarial examples: Designing objects for robust vision – a complete hands-on guide

In a recent work by Microsoft Research, a new framework is introduced which can address these problems of data models to create “unadversarial objects,” inputs that are optimized particularly for more robust model performance. This newly proposed approach for image recognition/classification methods helps in predicting better in the case of unforeseen corruptions or distribution shifts.

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Top 10 Computer Vision papers 2020

Even with everything that happened in the world this year, we still had the chance to see a lot of amazing research come out. Especially in the field of artificial intelligence and more precisely computer vision. Artificial intelligence and our understanding of the human brain and its link to AI is constantly evolving, showing promising applications in the soon future, which I will definitely cover. Here are my top 10 of the most interesting research papers of the year in computer vision, in case you missed any of them.

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OpenAI debuts DALL-E for generating images from text

OpenAI today debuted two multimodal AI systems that combine computer vision and NLP: DALL-E, a system that generates images from text, and CLIP, a network trained on 400 million pairs of images and text. The photo above was generated by DALL-E from the text prompt “an illustration of a baby daikon radish in a tutu walking a dog.” DALL-E uses a 12-billion parameter version of GPT-3, and like GPT-3 is a Transformer language model. The name is meant to evoke the artist Salvador Dali and the robot WALL-E.

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Cox acquires AI/3D scanner maker Fyusion to aid used car dealerships

When car dealers sell new vehicles, customers can rely on manufacturer-provided 3D models that look exactly like the cars they’re about to purchase. But that isn’t the case for used cars, which commonly have dings and other issues that must be disclosed to prospective buyers. To aid in the vehicle imaging and disclosure process, media conglomerate Cox Enterprises today announced it is acquiring Fyusion, a maker of AI and 3D capture tools, to help auto dealers rapidly scan used cars for resale.

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