Mediaboss Marketing

In April of 2021, the European Commission submitted its proposal for a European Union regulatory framework on artificial intelligence. The Artificial Intelligence Act represents the first attempt globally to horizontally regulate artificial intelligence (AI). The extraterritorial application of the AI Act and its likely demonstration effect (the so-called Brussels effect) for policymakers means that the AI Act will have a range of implications for the development of AI regulation globally, as well as efforts to build international cooperation on AI.

The following outlines next steps for the AI Act as it winds its way through the EU system before becoming law, the key issues in the AI Act that will receive the most attention, and how the AI Act may affect international cooperation in AI. This policy brief draws from discussions in the multistakeholder Forum on Cooperation in AI (FCAI), jointly led by Josh Meltzer, Cameron Kerry, and Andrea Renda, as well analysis originally published in the October 2021 FCAI report, Strengthening International Cooperation on AI.

Download the full policy brief

Link:
The European Union AI Act: Next steps and issues for building international cooperation in AI - Brookings Institution

Mintlify, which automates software documentation tasks announced that it raised $2.8 million in a seed round led by Bain Capital Ventures. The startup developing software's CEO Han Wang said that the proceeds will go to product development and double their staff. Currently, Mintlify is a three-person team.

The New York-based software company was founded in 2021 by Han Wang and Hahnbee Lee. Both are software engineers and their profession drove them to build Mintlify.

Both Wang and Lee's experiences in software development involved working with documentation that wasn't always high quality or complete.

"We've worked as software engineers at companies in all stages ranging from startups to big tech and found that they all suffer from bad documentation if it even existed at all," Wang said.

He also added that documentation is crucial to engineers and those that are working on new codebases.

Also read:AI-Powered Video Editing Platform: Why Should You Use It- Virtual Doppelganger?

With that, Mintlify is established to address documentation challenges with auto-generating documentation. The software reads code and creates docs to explain it using technologies, such as Natural Language Processing (NLP) and web scraping.

This only shows that generating documentation from code is possible with the help of Artificial Intelligence (AI).

However, Mintlify isn't the first one to do this. In fact, the software company already has a few competitors that are taking similar approaches.

Still, Wang assures that their software delivers higher-quality results and they don't force developers to host documentation on a cloud service.

"Mintlify's mission is to solve documentation rot by developing continuous documentation into a standard practice for software teams," Wang said.

Aside from document generation, the software also scans for stale documentation and detects how users engage with the documentation. These help improve its readability. The software that will not store code and ensures all user data at rest and in transit are encrypted.

The platform is free for developers and can be integrated with existing systems.

Since its launch in January, Mintlify continues to grow with 6,000 active accounts. With this, they are looking to offering a premium that is aimed at enterprise customers.

It has also received good feedback from developers and people who have texted the software. For many, it saves a lot of time and keystrokes from writing docstrings from scratch and it would be useful for reading and understanding undocumented code by ghosts.

They also noted that the global pandemic's impact on the work environment has even made it more important to have high-quality documentation for more efficient product development. And this is exactly what Mintlify is doing as they expand into workflow automation that addresses documentation challenges.

Related article:Top 5 Best Bot Platforms Software for Better Customer Support

This article is owned by TechTimes

Written by April Fowell

2021 TECHTIMES.com All rights reserved. Do not reproduce without permission.

Read more:
Mintlify Uses Artificial Intelligence To Address Software Documentation Challenges, Raises $2.8 Million - Tech Times

The application of AI has been largely a private sector phenomenon. The public sector has advanced regulatory questions, especially in Europe, but struggled to find its own role in how to use AI to improve society and well-being of its citizens. The Wilson Center invites you to take a critical look at the use of AI in public service, examining the societal implications across sectors: environmental sustainability, finance, and health. Where are the biases in the design, data, and application of AI and what is needed to ensure its ethical use? How can governments utilize AI to create more equitable societies? How can AI be used by governments to engage citizens and better meet societal needs? The webinar aims to engage in a dialogue between research and policy, inviting perspectives from Finland and the United States.

This webinar has been organized in coordination with the Finnish-American Research & Innovation Accelerator.

Here is the original post:
Lessons from Europe: Deployment of Artificial Intelligence in the Public Sphere - Wilson Center

SOPHIA ANTIPOLIS, France--(BUSINESS WIRE)--Regulatory News:

Median Technologies (Paris:ALMDT) announces that the company is expanding its portfolio of services with Imaging Lab, a new entity whose mission is to leverage AI, data mining, and radiomics technologies to exploit imaging data from clinical trials in oncology.

The creation of Imaging Lab materializes the convergence of iCRO's activities for image management in the development of new oncologic drugs and iBiopsy's activities for the development of software as medical device targeting early diagnosis of cancers, especially lung cancer.

"We are seeing a paradigm shift of pharmaceutical companies towards new drug candidates targeting patients with early-stage cancers," said Fredrik Brag, CEO and founder of Median Technologies. "The synergy between our iCRO and iBiopsy businesses is perfect to respond to this change: iBiopsy develops software as medical device, integrating AI technologies, which allow the diagnosis of diseases at a very early stage, when patients are still asymptomatic. At the same time, iCRO has extensive knowledge of image processing and its management in clinical trials. The cross-fertilization of our two businesses will enable us to leverage imaging data in conjunction with other clinical information in an unparalleled way and provide biopharmaceutical companies with tools for Go/No-Go decisions in trials," adds Fredrik Brag.

Imaging Lab will provide new answers in four areas that determine the success of clinical trials: selection of patients included in trials, especially inclusion of patients diagnosed at early stages of disease thanks to AI technologies, prediction of response to therapy, measurement of disease progression, and evaluation of the safety of drug candidates. The goal is to optimize development plans, including facilitating Go/No-Go decisions to increase the success rate of clinical trials. This rate is especially low in oncology, generating an average development cost of $2.8 billion to take a new molecule to market, compared with an average of $1 billion per new molecule brought to market for other therapeutic areas1.

"Our experience of image management in clinical trials has shown that trial data is vastly underutilized. We can extract much more information from images through the widescale use of data mining, AI, and radiomics and use these technologies to better support our customers and biopharmaceutical partners in their clinical developments," says Nicolas Dano, COO iCRO of Median Technologies.

The Imaging Lab team will be present from June 4-6 (exhibition dates) at the ASCO Annual Conference in Chicago , Medians booth #2098, Exhibit Hall A, to meet the pharmaceutical community.

About Median Technologies: Median Technologies provides innovative imaging solutions and services to advance healthcare for everyone. We harness the power of medical images by using the most advanced Artificial Intelligence technologies, to increase the accuracy of diagnosis and treatment of many cancers and other metabolic diseases at their earliest stages and provide insights into novel therapies for patients. Our iCRO solutions for medical image analysis and management in oncology trials and iBiopsy, our AI-powered software as medical device help biopharmaceutical companies and clinicians to bring new treatments and diagnose patients earlier and more accurately. This is how we are helping to create a healthier world.

Founded in 2002, based in Sophia-Antipolis, France, with a subsidiary in the US and another one in Shanghai, Median has received the label Innovative company by the BPI and is listed on Euronext Growth market (Paris). FR0011049824 ticker: ALMDT. Median is eligible for the French SME equity savings plan scheme (PEA-PME), is part of the Enternext PEA-PME 150 index and has been awarded the Euronext European Rising Tech label. For more information: http://www.mediantechnologies.com

1 https://www.biopharmadive.com/news/new-drug-cost-research-development-market-jama-study/573381/

Excerpt from:
Median Technologies Launches Imaging Lab, Spearheading the Integration of iBiopsy Artificial Intelligence Technologies Into iCRO Imaging Services for...

The demand for agricultural products is surging in countries such as Brazil, India, the U.S., and China due to the rapid urbanization, surging disposable income, and changing consumption patterns of the booming population. On account of the soaring demand, these countries are leveraging artificial intelligence (AI) to increase their overall agricultural productivity. Owing to this reason, the AI in agriculture market is expected to progress at a robust CAGR of 24.8% during 20202030. According to P&S Intelligence, at this rate, the value of the market will rise from $852.2 million in 2019 to $8,379.5 million by 2030.

In recent years, the usage of smart sensors has increased tremendously in agriculture, as they enable farmers to map their fields accurately and apply crop treatment products to the areas that need them. Moreover, the development of several operation-specific sensors, including airflow sensors, location sensors, weather sensors, and soil moisture sensors, is assisting farmers in monitoring and optimizing their yields. Additionally, technology companies are developing smart sensors that are adaptable to the altering environmental conditions.

Additionally, the agrarian community is deploying drones in large numbers to monitor the growth and health of crops. Farmers use drones to scan the soil health, estimate the yield data, draft irrigation schedules, and apply fertilizers. Besides, the increasing support from the government has led to the widescale adoption of drones for modernizing agricultural practices. For example, in January 2019, the government of Maharashtra, India, partnered with the World Economic Forum (WEF) to enhance the agricultural yield by gathering insights about the farms through drones.

How Are AI-Powered Smart Sensors Improving Agricultural Practices?

Further, AI is being used in the agriculture sector to monitor the livestock in real-time. The utilization of AI solutions, such as facial recognition and image classification integrated with feeding patterns and condition score, enables dairy farms to individually monitor all the behavioral aspects of a herd. Moreover, farmers are using machine vision to recognize facial features and hide patterns, record the behavior and body temperature, and monitor the food and water intake of the livestock.

North America witnesses large-scale deployment of the AI technology in agricultural activities owing to the early adoption of computer vision and machine learning (ML) for soil management, precision farming, greenhouse management, and livestock management. Moreover, the increasing adoption of the internet of things (IoT) technology bolstered with computer vision will promote the application of AI solutions by the farming community. Besides, the existence of numerous technology vendors and sensor manufacturers in the region promotes the usage of the AI technologies in the agricultural space.

Furthermore, the Asia-Pacific (APAC) region is expected to adopt AI-enabled agricultural solutions at the fastest pace in the coming years. The high adoption rate of AI in China, Australia, India, and Japan will contribute significantly to the APAC AI in agriculture market in the future. Moreover, the entry of the Alibaba Group in the agricultural solution business, with its AI technology, will increase the penetration of these solutions in the Chinese agricultural industry. Additionally, India is utilizing such solutions due to the escalating effort by multinational companies (MNCs) and the government to spread awareness regarding data sciences and farm analytics among farmers.

Thus, the growing need to increase the crop yield and improve livestock management will fuel the adoption of AI-enabled solutions in the agricultural space.

Source: P&S Intelligence

Read the rest here:
Farmers Increasing Their Crop Yield with Artificial Intelligence - Farmers Review Africa