DeepMind researchers have trained an AI to solve computer coding challenges as well as the average person. In a paper published last week in the journal Science, the group from Google’s AI division described how AlphaCode performed when pitted against human programmers, ranking in the top 54.3 percent in simulated tests, commensurate with “approximately human-level performance.” “This performance in competitions approximately corresponds to a novice programmer with a few months to a year of training,” according to Science, which says about half the humans who compete in coding contests could outperform the AI. Continue reading Deepmind’s AlphaCode AI Can Program Like Human Coders

Microsoft announced it is integrating OpenAI’s DALL-E 2 into its new Microsoft Designer app, as well as its Microsoft Edge browser and the Image Creator tool in its Bing search engine. Microsoft provides cloud computing services to OpenAI and has partnered with OpenAI in AI commercialization efforts including the Azure OpenAI Service, now in preview, and GitHub Copilot. The Designer web app can be used to create designs for posters, presentations, invitations and other graphics that can be printed and used for display or shared on social or business media. Continue reading Microsoft Integrates DALL-E 2 into Designer and Creator Apps

Google has launched an AI Test Kitchen and is inviting users to sign up to test experimental AI-powered systems and provide feedback before the applications are deployed for commercial use. First up is the Language Model for Dialogue Applications (LaMDA), which has shown promising early results. The AI Test Kitchen has begun a gradual rollout to small groups of U.S. on Android with plans to include iOS in the coming weeks. According to Google, “as we move ahead with development, we feel a great responsibility to get this right.”  Continue reading Google Debuts AI Test Kitchen, LaMDA Language Generator

Virtual character developer platform Inworld AI has raised $50 million in a Series A funding round led by Section 32 and Intel Capital. The Mountain View-based startup — one of six companies chosen to participate in the 2022 Disney Accelerator — will create virtual characters for games, the metaverse and other entertainment and marketing applications. Because it is focused on providing an interior life, or “mind,” Inworld AI is platform agnostic, with APIs that work across Unity, Unreal Engine, Omniverse and others. Another convenient feature: it lets developers build characters by describing them in natural language. Continue reading Inworld Raises $50M to Create AI-Powered Virtual Characters

OpenAI’s powerful text-to-image generator DALL-E 2 is still in beta, but businesses are already testing it for commercial use. Apparel firm Stitch Fix has been using it to visualize fabric and color personalization, while Heinz tapped the AI system for a marketing campaign. Cosmopolitan used it to design a magazine cover. Others have leveraged the image engine to generate logos and thumbnails. These early adopters are identifying technical issues that OpenAI says it is addressing as it readies DALL-E 2 for enterprise. Foremost among the complaints is the lack of a dedicated API for public use. Continue reading Businesses Experiment with DALL-E 2, Report Mixed Results

A seed round by Ithaca, New York-based software firm Mintlify has raised $2.8 million led by Bain Capital Ventures. The startup uses artificial intelligence to automate software documentation. CEO and co-founder Han Wang says the funds will go to product development and hiring that will increase the company’s small staff. Mintify was launched in 2021 by Wang and Hahnbee Lee, a pair of software engineers who were driven to address a pressing industry need: quality documentation. A 2017 survey by GitHub found that 93 percent of developers listed incomplete or outdated documentation as an industry-wide problem. Continue reading Mintlify Leverages AI to Auto-Generate Code Documentation

Google has released a research paper on a new text-to-image generator called Imagen, which combines the power of large transformer language models for text with the capabilities of diffusion models in high-fidelity image generation. “Our key discovery is that generic large language models (e.g. T5), pretrained on text-only corpora, are surprisingly effective at encoding text for image synthesis,” the company said. Simultaneously, Google is introducing DrawBench, a benchmark for text-to-image models it says was used to compare Imagen with other recent technologies including VQGAN+CLIP, latent diffusion models, and OpenAI’s DALL-E 2. Continue reading Google’s Imagen AI Model Makes Advances in Text-to-Image

Alphabet-backed research lab DeepMind last week released a new AI system called Gato that takes a step toward artificial general intelligence, or AGI, technology that enables machines to undertake and learn the same tasks as humans. Described by DeepMind as a “general purpose AI, Gato’s debut coincides with LinkedIn co-founder Reid Hoffman and DeepMind co-founder Mustafa Suleyman securing $225 million to fund Inflection AI, an artificial intelligence company the pair launched earlier this year to simplify communication between humans and computers. Neither investors nor valuation were disclosed. Continue reading DeepMind’s Gato Moves Toward Artificial General Intelligence

A new AI revolution is underway, turning people who know little about coding into developers. Called “no code,” startups are emerging to productize this new category, which essentially lets people use familiar, clickable web interfaces and even natural language to automate tasks or create simple applications, while machine learning takes over the rest. Proponents predict it will be a game-changer, powering a brigade of “citizen developers” to leverage artificial intelligence without knowing how to write code. Startups entering the space include Juji, which makes creating AI chatbots as easy as programming PowerPoint. Continue reading No-Code AI and Prediction Tools Bring Coding to the People

Advances in language comprehension for artificial intelligence are issuing from San Francisco’s OpenAI and London-based DeepMind. OpenAI, which has been working on large language models, says it now lets customers fine-tune its GPT-3 models using their own custom data, while the Alphabet-owned DeepMind is talking-up Gopher, a 280-billion parameter deep-learning language model that has scored impressively on tests. Sophisticated language models have the ability to comprehend natural language, as well as predict and generate text, requirements for creating advanced AI systems that can dispense information and advice or that are required to follow instructions. Continue reading Advances by OpenAI and DeepMind Boost AI Language Skills

Google revealed its work on a new AI-enabled Internet search tool dubbed MUM (Multitask Unified Model), which can “read” the nuances globally of human language. The company says that users will be able to find information more readily and be able to ask abstract questions. MUM is not yet publicly available but Google independently used it for a COVID-19 related project. Vice president of search Pandu Nayak and a colleague designed an “experience” that gave in-depth information on vaccines when users searched for them. Continue reading Google AI-Enabled MUM Aims to Reinvent, Empower Search

OpenAI’s Codex, an AI system that translates natural language into code, was released via an API in private beta. Codex, trained on billions of lines of public code, can turn plain English commands into 12+ programming languages and also powers GitHub service Copilot that suggests whole lines of code within Microsoft Visual Studio and other development environments. OpenAI explained that Codex will be offered for free during an “initial period,” and invites “businesses and developers to build on top of it through the API.”

Continue reading OpenAI Debuts Tool to Translate Natural Language into Code

OpenAI unveiled a $100 million OpenAI Startup Fund to fund early-stage companies pursuing ways that AI can have a “transformative” impact on healthcare, education, climate change and other fields. OpenAI chief executive Sam Altman said the Fund will make “big, early bets” on no more than 10 such companies. OpenAI, with funding from Microsoft and others, will manage the Fund. Selected projects will get “early access” to future OpenAI systems, support from OpenAI’s team and credits for Microsoft Azure. Continue reading OpenAI and Microsoft Introduce $100 Million AI Startup Fund

IBM’s AI research unit debuted Project CodeNet, a dataset to develop machine learning models for software programming. The name is a take-off on ImageNet, the influential dataset of photos that pushed the development of computer vision and deep learning. Creating “AI for code” systems has been challenging since software developers are constantly discovering new problems and exploring different solutions. IBM researchers have taken that into consideration in developing a multi-purpose dataset for Project CodeNet. Continue reading IBM Project CodeNet Employs AI Tools to Program Software

Google is relaunching its Google Pay digital wallet and online payment system for Android and iOS with a raft of new features including the ability to connect to the user’s bank account for a searchable overview of finances. The company also plans to partner with banks in 2021 to offer its Plex, an online checking and savings account within the app. This more fully-featured Google Pay can now serve as a direct competitor to Apple Pay, Samsung Pay, PayPal, Venmo and other apps and services, as well as an online bank such as Ally. Continue reading Google Launches New Google Pay, Readies Banking Service