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AIhub monthly digest: July 2022 – conferences galore, Lanfrica talks, and song contest winner announced

AIHub

Welcome to our July 2022 monthly digest, where you can catch up with any AIhub stories you may have missed, get the low-down on recent events, and much more. This month, we report on IJCAI-ECAI, ICML and RoboCup, listen to the first episode of the GRACE podcast, and find out who won the AI Song Contest. Back as an in-person event for the first time since 2019, Bangkok played host to RoboCup2022, where around 1500 participants, from 39 different countries took part in competitions and a symposium. You can see the programme of events here, and there are links to the recordings of the competitions for some of the leagues here. If you are interested in reading our interviews from last year with members of the different leagues, these can be found here.


The consequences of hacking our dreams

#artificialintelligence

It sounds like the stuff of science fiction. LEONARDO DICAPRIO: (As Dom Cobb) The seed that we plant in this man's mind will grow into an idea. This idea will define him. FOLKENFLIK: Something lifted from the movie "Inception." DICAPRIO: (As Dom Cobb) Well, it may come to change everything about him.


SAP Cash Application – Machine Learning

#artificialintelligence

Lower days sales outstanding with machine learning. Accelerate the processing of incoming payments to reduce days sales outstanding and improve …


The use of artificial intelligence in the health technology assessments – PAHO/WHO

#artificialintelligence

The use of artificial intelligence in the health technology assessments · When · How · Speakers · There will be interpretations in Spanish, English, and …


An Artificial Intelligence Predicted the Shape of Nearly Every Known Protein

#artificialintelligence

Everyone knows the sci-fi movie cliche of an artificial intelligence program inevitably slipping down a villainous path.


DeepMind has predicted the structure of almost every protein known to science

#artificialintelligence

MIT Technology Review · Featured · Topics · Newsletters · Events · Podcasts · Sign in · Subscribe · Artificial intelligence …


Tips to plan storage elements of artificial intelligence – TechTarget

#artificialintelligence

In his recent book, The Artificial Intelligence Infrastructure Workshop, Arankalle and his co-authors discuss the complexities of AI and how …


What is Artificial Intelligence? How Does AI Work?

#artificialintelligence

Artificial intelligence (AI) is a branch of computer science concerned with building machines capable of performing tasks that typically require …


Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer

arXiv.org Artificial Intelligence

This paper proposes a new approach to perform unsupervised fine-tuning and self-training using unlabeled speech data for recurrent neural network (RNN)-Transducer (RNN-T) end-to-end (E2E) automatic speech recognition (ASR) systems. Conventional systems perform fine-tuning/self-training using ASR hypothesis as the targets when using unlabeled audio data and are susceptible to the ASR performance of the base model. Here in order to alleviate the influence of ASR errors while using unlabeled data, we propose a multiple-hypothesis RNN-T loss that incorporates multiple ASR 1-best hypotheses into the loss function. For the fine-tuning task, ASR experiments on Librispeech show that the multiple-hypothesis approach achieves a relative reduction of 14.2% word error rate (WER) when compared to the single-hypothesis approach, on the test_other set. For the self-training task, ASR models are trained using supervised data from Wall Street Journal (WSJ), Aurora-4 along with CHiME-4 real noisy data as unlabeled data. The multiple-hypothesis approach yields a relative reduction of 3.3% WER on the CHiME-4's single-channel real noisy evaluation set when compared with the single-hypothesis approach.


Stunning drone footage shows three killer whales hunt 9-foot great white shark and eat its liver

Daily Mail - Science & tech

It is a gripping scene of an orca viciously ripping out the liver of a nine-foot-long great white shark, as two other killer whales excitedly watch the once blue waters of South Africa's Mossel Bay turn blood red before the shark sinks to a the bottom of the sea – never to be seen again. The wild story was captured by a drone camera soaring above and now gives scientists a better understanding about why these apex-predators seem to be fleeing from this regions that was once the shark capital of the world. Orcas are known to feast on a great white shark liver, as to organ is are large, fatty and has become the whale's favorite dish – eight shark carcasses washing ashore the Western Cape in 2017 and all were missing their liver. The footage is part of marine biologist Alison Towner's long-term work with great whites. She shared on her Instagram page that the clip is'one of the most incredible pieces of natural history ever captured on film. The clip which is the first to show an orca eating a great white, is set to air on Discovery's Shark House Thursday night at 9pm ET, which is a day before the highly anticipated Shark Week begins.