Key quote "The life sciences industry has only begun to scratch the surface of AI's potential but the good news is biopharma and life sciences leaders see the potential and are willing to make the investments necessary to realize what's possible. They should be cautious, though, and carefully plan and strategize so those investments are used wisely and result in the desired outcomes. By spending time on a solid strategy, putting the building blocks in place for success and leveraging relationships with relevant partners, AI can help transform the life sciences industry as we know it and get the necessary products to market more quickly." Why this matters From R&D to manufacturing, supply chain to commercial functions, AI is beginning to have an impact on increasing efficiencies across the biopharma value chain, especially as a result of the COVID-19 pandemic. In addition, increased remote work environments helped life sciences leaders realize how effective digital solutions can be in helping their businesses run smoothly, transforming mindsets and enabling executives to lean into a future grounded in digitization, data and AI.

Chris Johnston, Executive Director for Paerata Rise says "Our goal is to be one of the most desirable places to live in Auckland and becoming a Smart Village is an extension of this. It means we are able to offer the utmost connection to our residents through a private network, and the most cutting-edge technologies." "We are proud to be able to support the unique, first class community being built at Paerata Rise with the latest concepts in mobile network technology. While everyone has experienced the frustration of bad coverage, ultimately an excellent network should go unnoticed – instead allowing users' mobile applications, services, and other benefits to come to the fore," adds Ross Spearman, General Manager of Dense Air New Zealand. "The realities of smart villages and connected neighbourhoods are starting to emerge in the world around us, however the real'smarts' need to be built into the foundations of communities which is why we are executing this project at this stage of our development," says Johnston.

You can watch the webstreaming of the debates here. AIDA MEPs will exchange views with Thomas Jarzombek, Commissioner for Digital Industry and Start-ups, German Federal Ministry for Economic Affairs and Energy and Daniela Kolbe, Chair of the Bundestag Study Commission on "Artificial Intelligence – Social Responsibility and Economic, Social and Ecological Potential". The topics under discussion will include the position of the German Presidency on the future EU regulatory framework on AI, as well as a review of the recent 800-page report of the Study Commission on AI, spanning an examination of a wide variety of societal AI applications and their policy implications.

Fujitsu Laboratories Ltd. announced the development of a technology to make AI models more robust against deception attacks. The technology protects against attempts to use forged attack data to trick AI models into making a deliberate misjudgment when AI is used for sequential data consisting of multiple elements. With the use of AI technologies progressing in various fields in recent years, the risk of attacks that intentionally interfere with AI's ability to make correct judgments represents a source of growing concern. Many suitable conventional security resistance enhancement technologies exist for media data like images and sound. Their application to sequential data such as communication logs and service usage history remains insufficient, however, because of the challenges posed by preparing simulated attack data and the loss of accuracy.

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Artificial intelligence operations and management software provider Algorithmia Inc. is taking on the chore of machine learning model performance monitoring with a new tool announced today that it says provides greater visibility into algorithm inference metrics. Algorithmia is a Google LLC-backed company that sells software designed to make machine learning projects easier to get off the ground and manage. Its software manages every stage of the machine learning lifecycle, automating model deployment, optimizing collaboration between operations and development, and leveraging existing so-called continuous integration/continuous development processes. It also provides security and governance, and it operates a marketplace for researchers and developers to share ML models they create and get paid when others use them. Algorithmia Insights is the company's latest addition to that software set. The new tool is meant to replace a patchwork of disparate tools and manual processes that companies currently employ in order to monitor the performance of their machine learning models as they work their way into production applications.

Artificial intelligence operations and management software provider Algorithmia Inc. is taking on the chore of machine learning model performance monitoring with a new tool announced today that it says provides greater visibility into algorithm inference metrics. Algorithmia is a Google LLC-backed company that sells software designed to make machine learning projects easier to get off the ground and manage. Its software manages every stage of the machine learning lifecycle, automating model deployment, optimizing collaboration between operations and development, and leveraging existing so-called continuous integration/continuous development processes. It also provides security and governance, and it operates a marketplace for researchers and developers to share ML models they create and get paid when others use them. Algorithmia Insights is the company's latest addition to that software set.

WekaIO, Inc. announced a transformative cloud-native storage solution underpinned by the fast file system WekaFS, that unifies and simplifies the data pipeline for performance-intensive workloads and accelerated DataOps. The company has developed reference architectures (RAs) with object storage technology providers, like AWS, Cloudian, IBM, Seagate, Quantum, Scality, and others in the firm's Technology Alliance Program, to deliver cost-efficient, cloud-native storage solutions at any scale. And the firm's OEM partnership with Hitachi Vantara will deliver an integrated end-to-end stack solution based on the Hitachi Content Platform. WekaFS provides managing petabytes of data in a single, unified namespace wherever in the pipeline the data is stored, while also delivering the performance to accelerate AI/ML, genomics research, HPC, and HPDA workflows. Manage more petabytes of data cost-effectively and with fewer resources Extending the WekaFS namespace from high-performance flash to an Amazon Simple Storage Service (S3) REST-enabled cloud object storage system is a simpler and more cost-efficient strategy for managing petascale datasets without compromising performance.

Microsoft and OpenAI's close relationship has taken another leap forward with the former gaining exclusive GPT-3 access. GPT-3 has been the talk of the AI town in recent months. OpenAI's innovation can help to create convincing articles and the company once deemed it too dangerous to release in a world where misinformation and fake news is already problematic. OpenAI never made GPT-3 publicly available but instead provided access to a limited number of trusted researchers. Microsoft announced today that it now has the exclusive rights to leverage GPT-3's "technical innovations to develop and deliver advanced AI solutions for our customers, as well as create new solutions that harness the amazing power of advanced natural language generation."

A Texas company is using edge computing and IoT sensors to help cities modernize crumbling water infrastructure and inaccurate water meters. The American Society of Civil Engineers has given the country's drinking water system a D- for the last 10 years. Many components of city water systems date back to the Civil War era. Olea Edge Analytics is using 21st century technology to spot needed repairs and make sure water bills are accurate. Dave Mackie, Olea Edge Analytics' CEO, said the company combines edge computing with artificial intelligence and machine learning to help cities make more informed decisions.