AI Essentials

Applied Use Cases

Explore how AI will change your business along with detailed references, concrete examples and use cases. This Essentials has been published to help turn business challenges into success with Artificial Intelligence and Machine Learning.

Top news of the week: 30.03.2021.

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Applied Use Cases

@johnchavens shared
On Mar 29, 2021
Just launched! #IEEE Trusted Data and Artificial Intelligence Systems (AIS) Playbook for Financial Services: https://t.co/FREfQMFvTm The doc features a survey & is a request for input. Help design the future of Responsible banking. #IEEEfinancialplaybook #IEEEead @IEEESA
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The IEEE Trusted Data & Artificial Intelligence Systems (AIS) Playbook for Finance Initiative

The IEEE Trusted Data & Artificial Intelligence Systems (AIS) Playbook for Finance Initiative

The purpose of the Financial Service Playbook is to curate, summarize, and contextualize trusted data and AI best practices for the financial sector around design principles, standards, and ...

@vnfrombucharest shared
On Mar 24, 2021
RT @jmtomczak: The sixth blog post on deep generative modeling! This time about hybrid modeling for p(x,y). Mainly based on great work from @eric_nalisnick @amatsukawa @yeewhye D. Gorur & @balajiln! 👇 Post: https://t.co/KBLOCilOs0 Code: https://t.co/A7Peb2aERB https://t.co/LW1PxiyRfz
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Unconditional generations from the HybridIDF.

Unconditional generations from the HybridIDF.

However, we want to be more fancy and we will utilize Integer Discrete Flows (IDFs) (van den Berg et al., 2020; Hoogeboom et al., 2019). elif len(netts) == 4: self.t_a = …

@AINowInstitute shared
On Mar 24, 2021
In recent years governments trialed policies aimed at algorithmic accountability. We’ve partnered w/@AdaLovelaceInst + @opengovpart on the first global study to map and evaluate this initial wave, based on accounts from those implementing them: https://t.co/6eBXZ50rlh
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Algorithmic Accountability for the Public Sector: learning from the first wave of policy implementation

Algorithmic Accountability for the Public Sector: learning from the first wave of policy implementation

Governments are increasingly turning to algorithms to automate decision-making for public services. Algorithms might, for example, be used…

@olivercameron shared
On Mar 26, 2021
RT @AppliedInt: Combining drive log re-sim, partially synthetic sim, and fully synthetic sim is necessary to achieve full coverage and move perception development from being research towards production. We discuss these components in our first of two posts in this series!https://t.co/5oxWZK1MPR
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From Research to Production: Strategies for Perception Simulation (Part 1 of 2)

From Research to Production: Strategies for Perception Simulation (Part 1 of 2)

There are multiple forms of perception simulations. Which approach is the most suitable for training and validation for production deployment?

@MIT_CSAIL shared
On Mar 24, 2021
BREAKING: MIT "smart clothes" use special tactile fibers to sense a person’s movement & determine what pose they're in. Potential applications: 🏀 coaching ♿ rehabilitation 👴🏽 elder care Paper: https://t.co/g33ZPHiUUK More: https://t.co/26jSWXr61A (v/@NatureElectron) https://t.co/PSGq7AzTmn
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"Smart clothes" that can measure your movements

"Smart clothes" that can measure your movements

Among other things, the researchers showed that their clothes can actually determine things like if someone is sitting, walking, or doing particular poses. The group from MIT’s …

@Sam_L_Shead shared
On Mar 29, 2021
NEW: Getting AI regulation right in the coming decades is going to be tricky for governments. There's a fine balance to be struck between encouraging innovation and protecting citizens from a potentially harmful technology https://t.co/b3DgLwV0mL
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A.I. researchers urge regulators not to slam the brakes on its development

A.I. researchers urge regulators not to slam the brakes on its development

AI researchers argue that there's little point in imposing strict regulations on its development at this stage, as the technology is still in its infancy.

@kaliouby shared
On Mar 25, 2021
Today’s in-car intelligent assistants have transformed from basic Q+A systems to more conversational assistants that are up to any task👏 Read more about how @CerenceInc is using @Affectiva’s #EmotionAI #tech to humanize & optimize the #ICS experience🚗⬇️ https://t.co/n5luHPYea9 https://t.co/efrpzdQ6KR
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Cerence: How In-Cabin Sensing takes In-Vehicle HMI Dialogue to the Next Level

Cerence: How In-Cabin Sensing takes In-Vehicle HMI Dialogue to the Next Level

What if in-vehicle assistants could sense the context of your reactions (and emotions), and respond in a way that can alleviate some of the stress?

@AI_TechNews shared
On Mar 24, 2021
RT @cloud_comp_news: What you need to know about soaring enterprise machine learning investments https://t.co/qsOzeMBrzL #ML https://t.co/iMF62I0blr
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What you need to know about soaring enterprise machine learning investments

What you need to know about soaring enterprise machine learning investments

The second wave of enterprise AI/ML adoption is growing rapidly. We expect it to crest in 2021, as many organisations have been increasing investment.