Hamburg News: How did you enter the AI sector? I started programming at my first employer, Axel Springer, out of curiosity. At the time, I was allowed to jointly found a start-up for Axel Springer and spent plenty of time working with our programmers, who encouraged and motivated me to programme. Later, I gained my first real programming experience at Soundcloud where I heard about artificial intelligence for the first time. I jumped onto the AI bandwagon through my Master's degree in America and later as part of my job in San Francisco. Hamburg News: What do you plan to do in future?

DERRY, N.H. – July 26, 2021 – The computer science program CoderZ was named winner in the Best Coding and Computational Thinking Solution of 2021 as part of the annual SIIA CODiE Awards. The prestigious CODiE Awards recognize the companies producing the most innovative education technology products across the country and around the world. CoderZ is a powerful, self-paced virtual learning platform for grades 4-12 that teaches computer science integration by gamifying NGSS and CSTA-aligned curriculum. Any teacher, even those without computer science expertise, can use CoderZ's proven approach, which uses virtual robots to bring instruction to life. Each CoderZ course develops interdisciplinary skills like problem-solving, collaboration, and grit as well as core knowledge in physics, geometry, literacy, and algebra.

The world knows that Artificial Intelligence is creating a massive shift in the technology field as well as the lives of citizens across the world. The continuous emergence of AI models has successfully accelerated productivity and enhanced customer engagement in the cut-throat competitive market. Multiple industries and companies along with the government have started adopting AI models to provide freedom to employees from mundane tasks through automated services. India is one of the developing countries that has started allocating budgets for implementing Artificial Intelligence projects. India is set to use ground-breaking technologies for better productivity and earn revenue in the nearby future. Reputed tech companies, especially from Silicon Valley, have realized the potential of India's digital footprint and have started developing branches here.

Domino Data Lab is launching the company's first partner program today as the data science and MLOps software developer looks to scale up its work with service and technology partners and provide them with a structured program with more resources and benefits. The new Domino Partner Network will provide structure for what has largely been ad hoc partner processes, according to Domino executives. It will help the company expand and scale its work with partners and provide them with needed training, go-to-market resources and incentives. "Our push to formalize this partner program and to work with a wider range of partners is really being driven by our customers," CEO Nick Elprin said in an interview with CRN. "At a high level, what we're doing is formalizing an approach and a structure for how we work with partners."

Welcome to our July 2021 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. In this edition we cover ICML 2021, celebrate award winners, check out new AI reports and strategies, and find out who won the AI Song Contest. This month saw the running of the thirty eighth International Conference on Machine Learning (ICML). There were a huge variety of events, including talks, workshops, tutorial, and socials. We were in (virtual) attendance and managed to catch all of the invited talks.

The 2021 ACM SIGAI Industry Award for Excellence in Artificial Intelligence is granted to DrAidTM - the AI-powered Assistant product for Radiologists developed by VinBrain (a subsidiary of Vingroup in Vietnam). This is one of the world's top awards, and only one AI product is selected as the winner each year. The award will be presented at the International Joint Conference on Artificial Intelligence (IJCAI) 2021 from August 19-26, 2021 in Canada. In 2019, the award was granted to Microsoft Corporation. The ACM SIGAI Industry Award for Excellence in Artificial Intelligence (AI) is one of the world's top awards in the field of AI which is given annually to individuals or teams who have transferred original advanced academic research into AI applications.

Machine-learning algorithms are used to find patterns in data that humans wouldn't otherwise notice, and are being deployed to help inform decisions big and small – from COVID-19 vaccination development to Netflix recommendations. New award-winning research from the Cornell Ann S. Bowers College of Computing and Information Science explores how to help nonexperts effectively, efficiently and ethically use machine-learning algorithms to better enable industries beyond the computing field to harness the power of AI. "We don't know much about how nonexperts in machine learning come to learn algorithmic tools," said Swati Mishra, a Ph.D. student in the field of information science. "The reason is that there's a hype that's developed that suggests machine learning is for the ordained." Mishra is lead author of "Designing Interactive Transfer Learning Tools for ML Non-Experts," which received a Best Paper Award at the annual ACM CHI Virtual Conference on Human Factors in Computing Systems, held in May. As machine learning has entered fields and industries traditionally outside of computing, the need for research and effective, accessible tools to enable new users in leveraging artificial intelligence is unprecedented, Mishra said.

The capabilities of GPT -3 has led to a debate between some as to whether or not GPT-3 and its underlying architecture will enable Artificial General Intelligence (AGI) in the future against those (many being from the school of logic and symbolic AI) who believe that without some form of logic there can be no AGI. The truth of the matter is that we don't know as we don't really fully understand the human brain. With science and engineering we work upon the basis of observation and testing. This section also addresses points raised by Esaú Flores. Gary Grossman in an article entitled Are we entering the AI Twilight Zone between AI and AGI? observed that in February 2020, Geoffrey Hinton, the University of Toronto professor who is a pioneer of Deep Learning, noted: "There are one trillion synapses in a cubic centimeter of the brain. If there is such a thing as general AI, [the system] would probably require one trillion synapses." The human brain has a huge number of synapses. Each of the 1011 (one hundred billion) neurons has on average 7,000 synaptic connections (synapses) to other neurons. It has been estimated that the brain of a three-year-old child has about 1015 synapses (1 quadrillion).

Niki Trigoni discusses how Navenio has helped hospitals during the pandemic and shares her thoughts on digital transformation. Niki Trigoni is a professor of computer science at the University of Oxford where she leads the Cyber Physical Systems group. She has 15 years of experience in intelligent sensor systems and has won several awards for her group's work on indoor and underground positioning. She is also a founder of the Centre for Doctoral Training in autonomous and intelligent machines and systems, which aims to deliver highly trained individuals versed in the underpinning sciences of robotics, computer vision, wireless embedded systems, machine learning, control and verification. Currently Trigoni is the chief technology officer of Navenio, an AI-led indoor location-based platform that aims to improve workforce efficiency in hospitals.

In the June issue of Communications, Editor-in-Chief Andrew A. Chien suggested in his Editor's Letter (p. 5) that ACM consider bestowing two A.M. Turing Awards per year. Immediately upon reading your June Editor's letter, my reaction was "No!" because I thought two annual awards would reduce the stature of each and minimize the honor to recipients and even to Alan Turing. But I was hasty in forming my opinion. I reread your argument and changed my opinion--I now believe we need to think even bigger. The number "two" suggests a division between hardware and software.