Collaborating Authors

* to NOW

'The Centennial Case: A Shijima Story' succeeds as a FMV whodunnit

Washington Post - Technology News

Fortunately, the quality of writing and performances is a cut above those in many live-action games, which are often hampered by low production values. Sure, you should avoid the English dub, where attempts to lip-sync the Japanese performances lead to staccato delivery, and the tone is more "Murder, She Wrote" than "True Detective," but it uses that hokeyness deftly to aim knowing winks at genre tropes. In particular, there's a tongue-in-cheek tone to the performances, helped by a decision to redeploy many of the same actors as different characters in each period, as they really seem to relish switching from suspect in one episode to victim or killer in another. All come equipped with their finest suspicious expressions, displaying furtive glances and exaggerated shock whenever their names come up in an investigation. Especially delicious is the sequence of lingering extreme close-ups you're offered as you finally decide who to accuse, where each actor gulps, sweats and blinks nervously under the spotlight.

UK fines Clearview just under $10M for privacy breaches – TechCrunch


The UK's data protection watchdog has confirmed a penalty for the controversial facial recognition company, Clearview AI -- announcing a fine of just over £7.5 million today for a string of breaches of local privacy laws. The watchdog has also issued an enforcement notice, ordering Clearview to stop obtaining and using the personal data of UK residents that is publicly available on the internet; and telling it to delete the information of UK residents from its systems. The US company has amassed a database of 20 billion facial images by scraping data off the public internet, such as from social media services, to create an online database that it uses to power an AI-based identity-matching service which it sells to entities such as law enforcement. The problem is Clearview has never asked individuals whether it can use their selfies for that. And in many countries it has been found in breach of privacy laws.

Bye-bye, megabank: More young adults are adopting digital banking to manage their money


Marc Wojno has been a writer and editor in the financial field for more than two decades. A new report published this month by data analytics firm FICO shows that a growing percentage of younger U.S. consumers -- specifically Gen X, Millennial and Gen Z groups -- consider digital banks, such as Cash App, Chime and PayPal, as their primary checking account provider, not traditional megabanks such as Bank of America, JPMorgan Chase and Wells Fargo. The report identified five competitive threats to traditional banks and credit unions, and what those companies need to do to stay competitive: Overdraft; savings and investing; buy now, pay later (BNPL); niche neobanks; and open banking. The report, Counterattack: Banks Field Guide to Fintech Disruption, in conjunction with research from Cornerstone Advisors, notes that although many US consumers are pleased with the quality and services of traditional banks and credit unions, the percentage of those three younger generations who chose fintechs over brick-and-mortars as their primary banks have doubled, at 12% of customers since 2020. FICO's report stated that for Millennials and Gen X-ers, the percentages dropped by nearly half during that same period.

Emotion recognition AI finding fans among lawyers swaying juries and potential clients


The American Bar Association has taken greater notice of emotional AI as a tool for honing courtroom and marketing performance. It is not clear if the storied group has caught up with the controversy that follows the comparatively new field. On the association's May 18 Legal Rebels podcast, ABA Journal legal affairs writer Victor Li speaks with the CEO of software startup EmotionTrac (a subsidiary of mobile ad tech firm Jinglz) about how an app first designed for the advertising industry reportedly has been adopted by dozens of attorneys. Aaron Itzkowitz is at pains to make clear the difference between facial recognition and affect recognition. At the moment, the use of face biometrics by governments is a growing controversy, and Li would like to stay separate from that debate.

25 Best Pluralsight Courses Online [Bestseller Courses 2022]


In this course, you will how to leverage Azure's Machine Learning capabilities to greatly increase the chance of success for your data science project. First, you will engage in team workflow and how Microsoft's Team Data Science Process (TDSP) enables best practices across disciplines. Then, you will discover the workflow of the Azure Machine Learning Service and how it can be leveraged on your project. You will also review how to create a pipeline for your data preparation, model training, and model registration. At the end of this course, you will explore the infrastructure approaches that can be leveraged for machine learning and how those approaches are supported on Azure.

Amazon installs AI-powered cameras in UK delivery vans


Last year, it was reported that Amazon planned to use AI-equipped cameras to surveil delivery drivers on their routes. Now, the company has started installing such cameras on its vans in the UK, according to The Telegraph. The action has created concern from privacy groups who called it "excessive" and "creepy." Amazon will use a pair of cameras to record footage from inside vans and out to the road. They're designed to detect road violations or poor driver practices and give an audio alert, while collecting data Amazon can use later to evaluate drivers.

30+ New Machine Learning Projects for Beginners With Source Code


This projects contains demo video, steps and source codes / tutorial for easiness or reference purpose. This curated list is suitable for beginners and intermediate ML Practitioners. Step 4. Find area using FindContours Firstly, the algorithm have to find where the grids are! Once grids are extracted, for each grid you've to: Cyril Diagne (the creator of this project) has used BASNet for salient object detection and background removal. The accuracy and range of this model are stunning and there are many nice use cases so I packaged it as a micro-service / docker image: Basnet.

Introduction to Machine Learning in Production


Understanding machine learning and deep learning concepts is essential, but if you're looking to build an effective AI career, you need production engineering capabilities as well. Effectively deploying machine learning models requires competencies more commonly found in technical fields such as software engineering and DevOps. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles. The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously operate in production. In striking contrast with standard machine learning modeling, production systems need to handle relentless evolving data.



In today's technologically driven world, data is the most valuable resource. Data is vital to any company's success because it allows for better and faster decision-making. Data science combines different algorithms, tools, and machine learning principles. This is where hidden patterns are found in raw data. As the data generated and analyzed continues to increase at an exponential rate, data analytics will be in high demand. Data science careers are promising.

How Knowledge Graphs Can Benefit Your Search


Are you making the most of your collected data? The data you accumulate through your products and services can be a game-changer for your organization. Imagine if you can put that information to the proper use! Knowledge Graphs can allow you to make the most of your information to access, search, and utilize data for your enterprise search needs. A Knowledge Graph is a progressive way of interconnected search, an accurate query search resolution system that combines entities like people, objects, and places.