[Paper Summary] Researchers From Allen Institute for AI releases AI2-THOR 3.0

ManipulaThor

The Allen Institute for AI (AI2) announces the release of AI2-THOR 3.0, which is an embodied AI framework. Embodied Artificial Intelligence is a sub-specialty of artificial intelligence at the intersection of robotics, computer vision, and natural language processing and is an emerging area of interest for researchers.

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Orca AI, which puts computer vision onto cargo ships, raises $13M Series A funding

Orca AI

Tel Aviv’s Orca AI, a computer vision startup that can be retrofitted to cargo ships and improve navigation and collision avoidance, has raised $13 million in a Series A funding, taking its total raised to over $15.5 million. While most cargo ships carry security cameras, computer vision cameras are rare. Orca AI hopes its solution could introduce autonomous guidance to vessels already at sea.

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California adds another AI Tool to its Wildfire Alert Network

Forest fire detection

Alchera’s visual anomaly detection system scans standard video to spot forest fires. The company (KOSDAQ: 347860) used millions of video images collected by remote cameras to train its fire-detection algorithm, developing what the startup claims is the first commercial software service for detecting wildfires.

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AI for AgriTech: Classifying Kiwifruits using Amazon Rekognition Custom Labels

Computer vision is a field of artificial intelligence (AI) that is gaining in popularity and interest largely due to increased access to affordable cloud-based training compute, more performant algorithms, and optimizations for scalable model deployment and inference. However, despite these advances in individual AI and machine learning (ML) domains, simplifying ML pipelines into coherent and observable workflows so they’re more accessible to smaller business units has remained an elusive goal.

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Data Preparation tools for Computer Vision 2021

Data preparation tools

Once we have collected our real-world data, we might notice that it is not enough data or certain cases are not covered sufficiently. For example, this can be true for autonomous driving, where accident scenes are rarely captured. Missing data can be generated with dedicated tools. For full-synthetic data, for example, there exists CVEDIA, for semi-synthetic data on the other hand one could use RabbitAI.

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Annual index finds AI is ‘industrializing’ but needs better metrics and testing

Geographical published AI strategies

The 2021 AI Index from Stanford University gathers data about AI research, startups, and changes to business and government policy.

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The future of Artificial Intelligence (AI)

Wireframe head on cityscape and binary background

Artificial intelligence (AI) is shaping the future of nearly every human being on the planet. Artificial Narrow Intelligence (ANI) is now a reality, and researchers are now focusing on Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI) that is beyond human level.

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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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