Bias detection in data and model outcomes is a fundamental requirement for building responsible artificial intelligence (AI) and machine learning (ML) models. Unfortunately, detecting bias isn't an easy task for the vast majority of practitioners due to the large number of ways in which it can be measured and different factors that can contribute to a biased outcome. For instance, an imbalanced sampling of the training data may result in a model that is less accurate for certain subsets of the data. Bias may also be introduced by the ML algorithm itself--even with a well-balanced training dataset, the outcomes might favor certain subsets of the data as compared to the others. To detect bias, you must have a thorough understanding of different types of bias and the corresponding bias metrics. For example, at the time of this writing, Amazon SageMaker Clarify offers 21 different metrics to choose from.

Dragonfruit AI, retail's first massively scalable video AI platform, is pleased to announce that Ray Cooke most recently SVP at Hanwha Techwin America – has joined the company as Vice President of Business Development. Dragonfruit's Frontier was custom-built for Retail Loss Prevention/Asset Protection (Video Summaries, ORC Investigations, OSHA Compliance, Slip/Fall, Liquid Spill), Store Operations (Checkout Metrics, Point-of-Sale Analysis with Video Verification) and Marketing/Merchandising (In-store Commerce Funnels). Designed from the ground-up for multi-location retailers, Frontier combines a powerful Base Station leveraging the Apple M1 architecture with advanced cloud intelligence. Starting at just $900/location/year, Frontier provides the flexibility for retailers to start solving their most pressing needs and add on more capabilities as required. In his new role, Cooke will help large-scale retailers use Frontier to derive insights from their video to address pivotal challenges – such as optimizing staffing, detecting unsafe conditions, accelerating investigations, managing store layouts and streamlining operations.

A small robot with a clip-like hand and enough smarts to know which drinks are popular is part of an effort to make convenience stores even more convenient. On a recent day in Tokyo, the robot named TX SCARA slid back and forth behind the refrigerated shelves in the back of a FamilyMart store. The hand on the end of its mechanical arm grasped a bottle or can from the stacks to the side, then the robot slithered to the right spot and placed the drink on the shelf -- in a place chosen after its artificial intelligence and tiny cameras matched the kind of beverage to what's running short. TX SCARA is filling a needed role in Japan's "conbini," as the ubiquitous tiny stores selling snacks, drinks and knick-knacks are called. Most such stores are open 24-seven, filled with 3,000 kinds of products, but have relatively few workers.

Artificial intelligence and automation are seeping into our daily working lives -- and female office workers are among those whose jobs are being taken over by machines. That's according to new research provided to ABC News by an Australian teaching organisation that's urging people to upskill so they don't find themselves out of work. Pearson's research looks at roles that are likely to be automated as technology advances. Historically, much of the conversation when it comes to automation has been about robots taking over factory jobs, or even replacing retail assistants in the form of self-service check-outs at supermarkets. Pearson's data also shows the less obvious pictures of automation encroaching into office environments, including for medical receptionists, accountants and personal assistants.

Computational Learning Theory: Second European Conference, EuroCOLT '95, Barcelona, Spain, March 13 - 15, 1995. Proceedings (Lecture Notes in Computer Science, 904) [Vitanyi, Paul] on Amazon.com. *FREE* shipping on qualifying offers. Computational Learning Theory: Second European Conference, EuroCOLT '95, Barcelona, Spain, March 13 - 15, 1995. Proceedings (Lecture Notes in Computer Science, 904)

The retailer has also discounted the Echo Show 10. After a 20 percent price drop, the device is $200, down from $250. Both the Charcoal and Glacier White colors are included in the company's latest promotion. We saw Amazon discount the Echo Show 10 to $180 during Prime Day in July, making this the best price we've seen since then. Alongside the Echo Show 15, The Echo Show 10 is one of the more unusual products in Amazon's smart display lineup. Engadget awarded the device a score of 83 in 2021.

The Art of Prompts for Artificial Intelligence: Make art with DALL-E, Midjourney and Livebook AI (Awesome AI) [Ashley, Kevin] on Amazon.com. *FREE* shipping on qualifying offers. The Art of Prompts for Artificial Intelligence: Make art with DALL-E, Midjourney and Livebook AI (Awesome AI)

Attention in the AI safety community has increasingly started to include strategic considerations of coordination between relevant actors in the field of AI and AI safety, in addition to the steadily growing work on the technical considerations of building safe AI systems. This shift has several reasons: Multiplier effects, pragmatism, and urgency. Given the benefits of coordination between those working towards safe superintelligence, this book surveys promising research in this emerging field regarding AI safety. On a meta-level, the hope is that this book can serve as a map to inform those working in the field of AI coordination about other promising efforts. While this book focuses on AI safety coordination, coordination is important to most other known existential risks (e.g., biotechnology risks), and future, human-made existential risks.

Roman V. Yampolskiy holds a PhD degree from the Department of Computer Science and Engineering at the University at Buffalo. There he was a recipient of a four year NSF (National Science Foundation) IGERT (Integrative Graduate Education and Research Traineeship) fellowship. Before beginning his doctoral studies Dr. Yampolskiy received a BS/MS (High Honors) combined degree in Computer Science from Rochester Institute of Technology, NY, USA. After completing his PhD dissertation Dr. Yampolskiy held a position of an Affiliate Academic at the Center for Advanced Spatial Analysis, University of London, College of London. In 2008 Dr. Yampolskiy accepted an assistant professor position at the Speed School of Engineering, University of Louisville, KY.

Robert Hundt is a Distinguished Engineer at Google. He created various compiler and performance projects, e.g., he served as Tech Lead for compiler optimization for servers (x86), Android (ARM), and GPUs (open-source CUDA compiler), built datacenter profiling and performance analysis tools, and worked on GMail/Apps performance. For many years Robert was the SW lead for Google TPU - supercomputers to accelerate machine learning inference and training, including the open-source ML compiler XLA. Recently he started the open-source high-level synthesis toolchain XLS and, during the pandemic, wrote a book on Quantum Computing. Today Robert is the Tech Lead for machine learning compilers at Google.