ICLR, NeurIPS, and ICML are the top three Publications for Artificial Intelligence, According to Google’s Scholar Metrics 2022

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June 30, 2022

Google announced the release of 2022 version of Scholar Metrics to enhance the visibility and influence of scholarly publications. For the artificial intelligence subcategories, ICLR, NeurIPS, and ICML are the top three publications.

With Google Scholar Metrics, authors can easily assess the popularity and impact of recent works in scholarly publications. In order to assist authors as they decide where to publish their new study, Scholar Metrics compiles recent citations to a wide range of publications. Based on these citations and top publications’ h-index results, researchers can decide where to publish.

Users can start by browsing the top 100 publications in a number of languages, listed according to their five-year h-index and h-median criteria. Then clicking on a publication’s h-index number, users can read the articles and the citations that support the metrics, as well as see which articles in the publication were most frequently cited and by whom.

Journals from websites that adhere to Google’s inclusion criteria are included in Scholar Metrics. Publications with less than 100 articles published between 2017 and 2021 or publications with zero citations over this time period are excluded.

One can also search for publications in specific categories like Sustainable Energy, Public Health, Business, Economics & Management, etc. The search can be made more specific by further looking in the “subcategories” and then opting for one.

New Android App Uses AI To Determine Coffee’s Roast Level

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Disha Chopra

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June 30, 2022

android app uses ai to predict coffee roast

Researchers from Thailand’s the King Mongkut University of Technology Thonburi created an Android app using AI – Coffee Roast Intelligence, which determines coffee’s roast level.

As the flavor of coffee is dependent on the extent of roasting of the beans, it is crucial to determine the degree of roasting. Coffee Roast Intelligence displays the roast level and returns the roasting percentage for class prediction.

The app analyzes image inputs of coffee beans via the CNN model, compares them with images from an image database, and then deciphers which of the beans belong to unroasted, light, medium, and dark roasted. For each of the four categories, the researchers used 1,200 photos from coffees roasted at JJ Mall Jatujak to create their image database. They used a Laos Typica Bolaven for the light roast, a Doi Chaang for the medium roast, and a Brazil Cerrado for the dark roast.

Although preliminary results are encouraging, experts point out that the software is not yet able to take into account many origins, which “may alter the color.” It does not account for the variation in bean density, roast duration, age, temperature, elevation, and many other factors.

Another possible problem is that the app only determines the roast level based on the coffee bean’s exterior color. However, uneven growth and blistering during the roasting process could result in the exterior becoming more roasted than the interior, resulting in inaccurate results.

Nevertheless, the developers are optimistic that they can overcome these gaps as the dataset is growing since. For now, the app offers many benefits, especially for roasters. It could be a game-changer to rapidly take a snapshot of the coffee as it is roasting to identify the roast level.

NVIDIA AI Enterprise Now Available via HPE Greenlake

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Disha Chopra

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June 30, 2022

nvidia ai enterprise available via hpe greenlake

The NVIDIA AI Enterprise is an end-to-end, cloud-native software suite for data analytics. The cloud is now available via the HPE GreenLake platform. The software suite can be used everywhere, from a data center to the cloud, and is fully supported by NVIDIA. Additionally, developers may streamline development and deployment and quickly create high-performing AI solutions using the cloud-native AI tools and frameworks platform.

At #HPEDiscover 2022, come by Booth #202 to learn how seven of our NVIDIA AI Accelerated Program Partners use #AI to solve business problems – from the enterprise to the edge and the cloud. Learn more now. https://t.co/qhe1yVhZKd
— NVIDIA Data Center (@NVIDIADC) June 23, 2022

With HPE GreenLake now offering NVIDIA AI Enterprise in a few countries, IT departments are spared the necessity of setting up the infrastructure needed to execute AI workloads. The risk, time, effort, and expense associated with developing, deploying, and maintaining an enterprise AI platform for IT personnel are minimized with HPE’s on-premise cloud service to access the NVIDIA AI Enterprise software package.

With secure, self-service provisioning and monitoring via a unified control pane, the HPE GreenLake platform gives businesses centralized control and analytics to manage resources, costs, and capacity across both on-premises and cloud deployments.

The software suite is deployed on NVIDIA-Certified HPE ProLiant DL380 and DL385 servers running VMware vSphere with Tanzu. HPE GreenLake enables customers to acquire NVIDIA AI Enterprise on a pay-per-use basis, with the flexibility to scale up or down and tailor it to their needs. For training or inference workloads, customers can choose from predefined packages. NVIDIA Ampere architecture GPUs, VMware vSphere with Tanzu, and NVIDIA AI Enterprise software are all included in the packages.

NVIDIA was a platinum sponsor at the HPE Discover, June 28-30, 2022, in Vegas, where the company gave more insight into the availability.

AI-powered BirdNET App Identifies Birds by Sound Alone

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Disha Chopra

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June 30, 2022

According to new research at Cornell University, the AI-powered BirdNET app can successfully identify more than 3000 birds by sound alone while generating reliable scientific information.

The research contends that because the BirdNET app doesn’t require knowledge of bird identification, it lowers the barrier to citizen science. The user can keep an ear out for birds, then tap the app to capture them. It employs artificial intelligence to recognize the species automatically based on sound, documenting the identification for later use in the study.

Connor Wood, a researcher at the K. Lisa Yang Centre for Conservation Bioacoustics at the university, said, “The most exciting part of this work is how simple it is for people to participate in bird research and conservation.” Wood added that the innovation has led to active participation worldwide.

Stefan Kahl, the co-author of the study and the technical developer of the app, said, “Our guiding design principles were that we needed an accurate algorithm and a simple user interface. Otherwise, users would not return to the app.”

The authors chose four test scenarios where conventional research had already produced solid results to see if the app could create reliable scientific data. Their work demonstrates, for instance, that the ranges of the brown thrasher during migration and the known distribution pattern of song types among white-throated sparrows were successfully duplicated using data from the BirdNET app. Validating the reliability of the app was one of the most important purposes to extend its usability for all wildlife and soundscapes in the long term.

The Cornell Lab of Ornithology toolkit includes the BirdNET app and is available for iOS and Android platforms.

Calantic AI Marketplace by Bayer analyzes CT and MRI Scans

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Disha Chopra

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June 29, 2022

The radiology division at the drugmaker giant, Bayer, is expanding its portfolio of MRI and CT scan devices by adding digital and AI-powered apps for imaging. The launch of a virtual marketplace is a part of this expansion.

The new cloud-based platform, called Calantic Digital Solutions, aims to automate various routine tasks across the radiologist’s workflow in a field that is experiencing a shortage of qualified specialists. Vendor-neutral software for accelerating patient reviews, automatically classifying critical cases, and highlighting scans of dangerous lesions will be available in the marketplace.

Gerd Kruger, Bayer’s Radiology Head, said that with Calantic Digital Solutions, the company would be a part of the fastest-growing segment in radiology. He also emphasized the company’s mission to provide an ecosystem of third-party products and services integrated with Bayer’s products and services to deliver disease-oriented solutions for radiologists.

Following regulatory clearances, the platform’s initial rollouts are anticipated for the U.S. and European markets. It will be grouped by body area and diagnostic method and begin with disorders of the chest and nervous system, including identifying nodules in lung tissue that may be malignant and examining cerebral hemorrhages and strokes. The business declared that it would eventually introduce more disease-specific solutions.

The introduction of Calantic intends to propel the company closer to its stated objectives by beating the segment’s average annual growth rate, which is estimated to be 5 percent annually through 2030.

With technology advancements in the industry, the number of automated systems for processing imaging scans has skyrocketed. Another AI-enabled imaging platform AIDOC gained popularity by raising $110M to expand its technology.

HDFC Bank-backed Lentra Acquires AI Startup TheDataTeam to Enhance Digital Lending

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Disha Chopra

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June 29, 2022

The heart and soul of our company lie with the merchandisers. They bridge the market with buyers who wish to avail of our products. Our team of merchandisers ensures the manufacturer of highly sophisticated garments delivered timely, irrespective of the volume.

Backed by the HDFC Bank, Lentra AI, a digital cloud lending platform, acquires a Chennai-Singapore-based AI company TheDataTeam, for an undisclosed amount. The acquisition will see the former taking over TDT’s customer intelligence platform Cadenz.

Through this agreement, Lentra will integrate TDT’s Cadenz platform for behavior intelligence, which aids banks and finance companies to determine a customer’s creditworthiness based on a particular financial trip. It will also assist in the quicker go-to-market of innovative items.

Launched in 2019, Cadenz makes it easier for organizations to remove friction and implement new initiatives by accelerating the transition from raw customer data to actual intelligence.

Rangarajan Vasudevan, the founder and CEO of TDT, has joined Lentra as a co-founder and Chief Data Officer due to the acquisition. He iterated that both the companies shared similar ambitions to scale in digital lending products and business-building practices. Lentra, already an established, fastest-growing lending cloud would benefit from Cadenz’s customer platform.

Lentra will incorporate Cadenz’s stack with its SaaS and API-driven modular design. Lentra’s modular, Open API-driven design aids banks in customizing customer experiences and lending journeys with a 95 percent Straight Through Processing (STP) rate. This expands the customer base available to banks and other financial institutions, lowers non-performing assets (NPAs), and boosts operational effectiveness.

The cloud platform can handle more than 1100 API calls per second and is highly scalable.

Sandeep Mathur, Chief Revenue Officer at Lentra, said that Cadenz’s integration into the Lentra cloud would enable the latter to provide an even bigger competitive edge in the entire loan disbursing and management system. He said, “With this acquisition of Cadenz, Lentra is now on track to become the leading platform of choice for financial institutions globally.”

Voice Recognition Scaleup Speechmatics Raises $62M in a Series B Funding Round, for its Speech-to-Text Software

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Disha Chopra

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June 29, 2022

speechmatics raises $62M in series b funding

Speechmatics, a speech recognition software provider, has raised $62 million in a Series B investment headed by Susquehanna Growth Equity to support its speech-to-text software growth in the US and Asia-Pacific.

Speechmatics was initially founded in 2006 in Cambridge by Dr. Tony Robinson. In the interim, it has grown a base of 170 customers in the B2B model. Some of its renowned clients include Deloitte, Veritone, and 3Play Media. The voice recognition company has built software that is compatible with 34 languages. Speechmatic claims listening to “millions of hours” of “hundreds of thousands” of videos has enhanced its AI by eliminating bias and errors.

Katy Wigdalh, an ex-executive of Speechmatics, said, “What we have done is gather millions of hours of data in our effort to tackle AI bias. Our goal is to understand any and every voice, in multiple languages.”

Previously, Speechmatics only produced its technology for developers only via private API.

To increase its customer base, it offers more publicly accessible API tools with a drag-and-drop sampler on its website. The AI company will also increase the capacity of its data centers and fund research and development with the Series B capital.

Jonathan Klahr, Managing Director of Susquehanna Growth Equity, said, “We started tracking Speechmatics when our portfolio companies told us that again and again Speechmatics win on accuracy against all the other options including those coming from ‘Big Tech’ players.”

Klahr will soon join Speechmatic’s Board as a part of the funding.

Snowplow Partners with Databricks for Data-Driven Applications and CDPs

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Disha Chopra

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June 29, 2022

Snowplow announced a partnership with Databricks at the Data + AI Summit 2022. Being the industry leader in data creation, Snowplow provides AI-ready behavioral data in real-time that can be used on Databricks Lakehouse for building data-driven applications.

Additionally, data teams can now use behavioral data to power Snowplow’s new custom-built web models, sophisticated analytics, and automated insight as part of a composable CDP, right from their Databricks Lakehouse.

First-party data is king 👑 and thanks to the emergence of products like @Databricks, @Hightouch, and Snowplow, the Composable #CDP has emerged as a category-leading solution for organizations to manage their first-party #data strategies.

Learn more 👉 https://t.co/I0ehHEhJ6A
— Snowplow (@snowplow) June 27, 2022

Roger Murff, VP, ISV Partners at Databricks, said, “Our partners are vital to bringing the power of Databricks’ Lakehouse Platform to more customers around the world. We are thrilled for this partnership since behavioral data created with Snowplow can be loaded directly to Databricks without complex preparation processes, which is a key competitive advantage for modern data teams.”

The partnership would allow users to take benefit from AI by accessing high-quality data to build ML/AI data applications within Databricks. Snowplow’s pioneering approach for data creation allows the users to leverage extensive data preparation, saving a lot of time.

Alex Dean, CEO and co-founder at Snowplow, said, “With Snowplow and Databricks, data teams can harness this potential by making accurate predictions with AI-ready data and generating deep customer understanding in real-time within Databricks.”

Nick King, President of Chief Product and Marketing Officer at Snowplow, will have a speaking session on June 29, 2022, to give more insight into the partnership.

AI-Powered MyRaasta App Offers Complete Vehicle Inspection in 30 Seconds

By

Disha Chopra

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June 28, 2022

Karn Nagpal designed the MyRaasta app to leverage state-of-the-art technology to offer customers complete vehicle inspections without human involvement. The car and bike service aggregator aims to provide convenience and hyper scalability of the network for MyRaasta users across the country.

Founded in 2021, MyRaasta is a trusted and robust service network of standardized garages and on-site services for vehicles. It provides real-time assistance and 24×7 customer support via a one-touch mobile app. With a far-reaching goal of reducing the cost of vehicle services in the country by 40%, the repair platform covers a 360-degree spectrum of two-wheelers and car services. Customers can simply fill in their demands for tyres, batteries, extended warranty, roadside assistance, and much more.

The inclusive AI added to the platform allows customers to use their vehicle’s pictures and videos for analysis. The AI engine uses computer vision based on the customer’s input. Since there is no manual intervention except clicking the pictures/videos, the chances of bias remain negligible, providing a detailed report for all panels within 30 seconds.

The report provides customers with information regarding any possible flaws or damage with their precise location and severity. It also gives accurate covering costs for the repair and rep

Karn Nagpal says, “MyRaasta is bringing much-required digitisation to the vehicle service experience nationwide. We are excited to be moving closer towards our goal of providing vehicle owners with world-class technology-enabled services with each integration.” He added, “We are confident that a real-time vehicle inspection will be extremely beneficial to customers and provide them with the tools to take better care of their vehicles in their fast-paced lives.”

Weights & Biases and Run:ai Announces a Joint Partnership with NVIDIA for MLOps Stack

By

Disha Chopra

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June 28, 2022

weights & biases and run ai partnership with nvidia

To make AI compute orchestration easier and MLOps platform more manageable, Run:ai and Weights & Biases jointly partner with NVIDIA. The three-way collaboration will enable data scientists to use Weight & Biases for execution while Run:ai orchestrates the workloads on NVIDIA GPUs. Before the association, firms that wished to use Run:ai and Weights & Biases simultaneously had to process each manually.

In a bid to help make machine learning workflow lifecycles easier for #data scientists, #AI compute orchestration vendor Run:ai and #MLops platform vendor Weights & Biases (W&B), are partnering with Nvidia. Read more: https://t.co/2RP0m5IrCM
— VentureBeat (@VentureBeat) June 27, 2022

Omri Geller, CEO, and co-founder of Run:ai, iterated that Run:ai was engineered as a plug-in to run machine learning on Kubernetes. It enables the visualization of NVIDIA GPU resources and fractions them so multiple containers can access the same GPU.

Scott McClellan, senior director of product management at NVIDIA, said, “Our strategy is to partner fairly and evenly with the overarching goal of making sure that AI becomes ubiquitous.” He furthered that the two vendors provide complementary technologies that can now plug into a single NVIDIA AI Platform for the users.

McClellan added, “The point in time when a data science or AI project tries to go from experimentation into production, that is sometimes a little bit like the Bermuda Triangle where a lot of projects die.” With the partnership, he hopes to develop and operationalize machine learning workflows better.

Seann Gardiner, VP of business development at Weights & Biases, commented that the partnership would enable users to benefit from Weights & Biases’ training automation with Run:ai’s orchestration.