Article: Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models

Free, Open Data, Open Software

Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models

Facebook has recently open-sourced AugLy, a new Python library that aims to help AI researchers use data augmentations to evaluate and improve the durability of their machine learning models. AugLy provides sophisticated data augmentation tools to create samples to train and test different systems.

AugLy is a new open-source data augmentation library that combines audio, image, video, and text, becoming increasingly significant in several AI research fields. It offers over 100 data augmentations based on people’s real-life images and videos on platforms like Facebook and Instagram.

Read Full Article

Article: What is open source?

Open Source

What is open source?

It’s difficult to overstate the role that open source plays in today’s technology-centric world, given that it intersects with just about every piece of software. Data from Synopsys, the company behind open source security management platform Black Duck, indicates that 98% of codebases contain at least some open source code.

But open source software is not only eating the world, as the popular expression goes, it’s also devouring the solar system — recent GitHub data showed that almost 12,000 GitHub developers contributed to the code that made the very first Martian helicopter flight possible on April 19, 2021. Chances are, though, most weren’t even aware that their contributions were used in the historic NASA mission.

Read Full Article

Article: Researchers open-source benchmarks measuring quality of AI-generated code

Language, Open Data

Researchers open-source benchmarks measuring quality of AI-generated code

The applications of computer programming are vast in scope. And as computers become ubiquitous, the demand for quality code draws an ever-growing number of aspiring programmers to the profession. After years of study to become proficient at coding, experts learn to convert abstracts into concrete, executable programs. But what if AI could do the same?

In recent years, large-scale AI language models have shown promise in generalizing to tasks including writing code, implying that humans’ work may be one day supplemented by AI systems. But while some studies show that language models can translate code and fix compilation issues, there’s been little work on rigorously testing the coding ability of models given general coding problems.

Read Full Article

Article: The Five Ways To Build Machine Learning Models

Free, Language, Libre, Open Data, Open Software

The Five Ways To Build Machine Learning Models

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications. Machine learning systems are core to enabling each of these seven patterns of AI.

In order to move up the data value chain from the information level  to the knowledge level, we need to apply machine learning that will enable systems to identify patterns in data and learn from those patterns to apply to new, never before seen data. Machine learning is not all of AI, but it is a big part of it.

Read Full Article

Article: Facebook Launches AI That Understands Language Without Labels

Language, Open Data

Facebook Launches AI That Understands Language Without Labels

Decades ago, asking for basic directions or information would have been an arduous task. The advent of solutions such as Google Translate alleviated that problem to an extent. But, is this enough? For example, India alone is home to 23 official languages and thousands of unofficial ones and Google Translate supports just 11 of India’s languages.

Other speech recognition technologies might allow even fewer languages. Also, languages such as Basque and Swahili are far likelier to have more limited AI speech recognition capabilities than Hindi, English and Mandarin. Hence, the paths opened up by speech recognition technology are only available to a small fraction of the countless languages spoken all over the world. This is because most AI for speech recognition belongs to a category called supervised learning.

Read Full Article

Article: The race to understand the exhilarating, dangerous world of language AI

Innovation, Language, Open Data, Open Space

The race to understand the exhilarating, dangerous world of language AI

To start, Google plans to integrate LaMDA into its main search portal, its voice assistant, and Workplace, its collection of cloud-based work software that includes Gmail, Docs, and Drive. But the eventual goal, said Pichai, is to create a conversational interface that allows people to retrieve any kind of information—text, visual, audio—across all Google’s products just by asking.

LaMDA’s rollout signals yet another way in which language technologies are becoming enmeshed in our day-to-day lives. But Google’s flashy presentation belied the ethical debate that now surrounds such cutting-edge systems. LaMDA is what’s known as a large language model (LLM)—a deep-learning algorithm trained on enormous amounts of text data.

Read Full Article

Article: TIP’s OpenWiFi Targets WiFi Disaggregation

Open Infrastructure, Spectrum

TIP’s OpenWiFi Targets WiFi Disaggregation

The Facebook-led Telecom Infra Project (TIP) set its sights on WiFi disaggregation this week with the release of OpenWiFi. The initiative expands the purview of TIP beyond mobile and fixed network infrastructure to one of the most broadly adopted and consistently discouraging technologies of all. WiFi is currently used to connect more than 16 billion devices and it carries the majority of wireless internet traffic globally, according to TIP.

OpenWiFi is a fully disaggregated system spanning access point hardware, an open source access point networking operating system, and a software development kit for cloud-native WiFI controller applications that can be used by operators and enterprises.

Read Full Article

Article: How Banks Need To Be Using Fintech Post-Pandemic

Money, Open Governance

How Banks Need To Be Using Fintech Post-Pandemic

Thanks to COVID-19, companies are facing tough decisions about how to operate and what they want to become. For banks, this means looking closely at the relationship they have with fintech and considering what kinds of integrations or partnerships make sense. To continue offering the most value to both investors and customers, banks will likely need to embrace open banking and marketplace operations far more than they currently have.

Over the past 10 years, the bank-fintech relationship has been based on fear, curiosity, or pragmatism, at various points in time. The main concern banks had at first was that fintech would offer the same services banks do, which would lead customers to turn to fintech businesses instead of banks.

Read Full Article

Article: Why open source adoption in federal IT is poised to accelerate

Open Governance, Standards

Why open source adoption in federal IT is poised to accelerate

In the private sector, adoption of open standards-based technology has been on a roll for years. Federal agencies have been slower to embrace these models, though adoption has been climbing steadily.

Embrace of standards-based technology may be about to accelerate amid increasing recognition in Washington about the need to modernize federal IT systems. The government still heavily relies on proprietary legacy systems that can be expensive to maintain, more vulnerable to cyberattacks and often struggle to meet the expectations of digital-savvy citizens.

Read Full Article

Article: Why open banking APIs are so different

Money, Open Governance

Why open banking APIs are so different

Open banking comes with a lot of expectations and promises, such as democratization of Access to Account (X2A), increased competition between banks and fintech’s, and provision of better control to end-customers over their financial data and payments.

To facilitate the adoption of open banking, several API standards incentives were created including Open Banking UK, Berlin Group, STET in France, Polish API, CDR in Australia, and so on. Also, a process of collaboration between API groups has been initiated. However, in the real world of open banking, APIs’ consumers, including fintech’s and banks themselves, have faced a lot of challenges while integrating those APIs into unified product propositions. Why? Because APIs are so different.

Read Full Article