Source: analyticsindiamag.com As most workers in India make a harried transition to remote working amid Covid-19 lockdown, they are still getting acclimated to the modus operandi of freelancers. With only a handful of tools in their arsenal, freelance professionals master those tools, as a rule, to compete with full-time professionals as well as other gig Read More
Tag: Google
Source: silicon.co.uk Google has introduced an artificial intelligence-powered system aimed at helping lending institutions process coronavirus-related loans to small businesses. The PPP Lending AI Solution, introduced at the end of last week, is specifically aimed at lenders participating in a US government scheme that offers loans to help small businesses stay in business through the Covid-19 pandemic. Read More
Source: techxplore.com Researchers at Google Research and the University of California, Berkeley, have recently developed an imitation learning system that could enable a variety of agile locomotion behaviors in robots. Their technique, presented in a paper pre-published on arXiv, allows robots to acquire new skills by imitating animals. “This project builds on some previous works from computer Read More
Source: sdtimes.com Google has announced a new TensorFlow runtime designed to make it easier to build and deploy machine learning models across many different devices. The company explained that ML ecosystems are vastly different than they were 4 or 5 years ago. Today, innovation in ML has led to more complex models and deployment scenarios Read More
Source: venturebeat.com In an effort to help lenders expedite the processing of applications for the U.S. Small Business Administration’s (SBA) Paycheck Protection Program, which aims to keep workers employed during the coronavirus pandemic, Google developed an AI solution called PPP Lending AI that integrates with existing document ingestion tools. It’s available to eligible lending institutions Read More
Source: venturebeat.com In a paper originally published last October and accepted to the International Conference on Learning Representations (ICLR) 2020, researchers affiliated with Google and the University College London propose an AI model that enables control of speech characteristics like pitch, emotion, and speaking rate with as little as 30 minutes of data. The work has obvious commercial Read More
Source: analyticsindiamag.com Google has launched TensorFlow RunTime (TFRT), which is a new runtime for its TensorFlow machine learning framework. According to a recent blog post by Eric Johnson, TFRT Product Manager and Mingsheng Hong, TFRT Tech Lead/Manager, “TensorFlow RunTime aims to provide a unified, extensible infrastructure layer with best-in-class performance across a wide variety of domain-specific hardware. Read More
Source: In a recent study conducted in collaboration with Calico Life Sciences, Google researchers built a “genome-wide” machine learning model for the regulation of gene expression — the process by which information from a gene is used to create functional protein or RNA — in a species of yeast. While the work focused on yeast, it could be applicable Read More
Source: computerweekly.com Civil liberties campaigning group Privacy International is questioning the role of Silicon Valley data mining company Palantir in the NHS’s data analysis programme. NHSX and NHS England Improvement reported at the end of March that they had engaged Palantir alongside Microsoft, Google and London-based artificial intelligence (AI) firm Faculty to build a “data platform” to Read More
Source: freepressjournal.in Tech giants Apple and Google, in an attempt to combat the spread of the deadly pandemic coronavirus, are working on a contract-tracing tool. Stronger privacy protections are also on the feature cards as the upcoming Covid-19 contract-tracing tool’s developer version will be launched soon. How will Covid-19 contract-tracing tool work? Apple, in a Read More
Source: enterpriseai.news Is the recent progress in deep learning true artificial intelligence? A widely-discussed article by Google’s Francois Chollet discusses the skill acquisition-based approach to gathering intelligence – the one currently in use in modern DL. He argues that with huge data sets available for training models, AI is mastering skill-acquisition but not necessarily the “scope, generalization difficulty, priors, and Read More
Source: venturebeat.com A preprint study published this week by coauthors at Google Research describes Entities as Experts (EAE), a new type of machine learning model that can access memories of entities (e.g., people, places, organizations, dates, times, and figures) mentioned in a piece of sample text. They claim it outperforms two state-of-the-art models with far less Read More
Source: venturebeat.com Google today announced the launch in general availability of Cloud Healthcare API, a service that facilitates the exchange of data between health care applications and solutions built on Google Cloud. The API allows organizations to ingest and manage data from a range of inputs and systems, and then to analyze that data through the use Read More
Source: sg.channelasia.tech Google has announced TensorFlow Lite Model Maker, a tool for converting an existing TensorFlow model to the TensorFlow Lite format used to serve predictions on lightweight hardware such as mobile devices. TensorFlow models can be quite large, and serving predictions remotely from beefy hardware capable of handling them isn’t always possible. Google created the TensorFlow Lite Read More
Source: bestgamingpro.com Researchers from Google Mind, Intel, OpenAI, and prime analysis labs within the U.S. and Europe joined forces this week to launch what the group calls a toolbox for turning AI ethics rules into observe. The equipment for organizations creating AI fashions contains the concept of paying builders for locating bias in AI, akin Read More
Source: analyticsindiamag.com The TensorFlow team at Google recently introduced a new tool for TensorFlow Lite (TFLite) known as Model Maker. The TFLite Model Maker simplifies the process of adapting and converting a TensorFlow Neural Network model to particular input data when deploying this model for on-device ML applications. Developed by researchers and engineers from the Google Brain Read More
Source: devclass.com Google’s AI teams used the comparatively quiet post-easter days to get ML practitioners up to speed with their latest research in reinforcement learning, natural language processing, and computer vision. In “An optimistic perspective on offline reinforcement learning”, a team of researchers has looked into ways to use a fixed offline dataset of logged Read More
Source: iflscience.com Machine learning (ML) is a method by which algorithms adapt their activity using inputted data, rather than being programmed to do so. But building and “training” these algorithms takes time, and can often ingrain human biases. To overcome these limitations, and enable further innovation in machine learning, researchers have explored the field of AutoML, whereby Read More
Source: thenextweb.com It looks like Google‘s working on some major upgrades to its autonomous machine learning development language ‘AutoML.’ According to a pre-print research paper authored by several of the big G’s AI researchers, ‘AutoML Zero’ is coming, and it’s bringing evolutionary algorithms with it. AutoML is a tool from Google that automates the process of Read More
Source: dailygalaxy.com Science-fiction author Vernor Vinge once said that mankind’s last great invention will be the first self-replicating machine. Now, AI scientists working in Google Brain division are testing how machine learning algorithms can be created from scratch, then evolve naturally, based on simple math, according to Google’s AutoML team who suggest the software could Read More
Source: theburnin.com Google is in the process of developing its own Pixel and Chromebook processors, reports Axios. The search engine has teamed with Samsung on a project called Whitechapel to make chipsets for its smartphones. The tech giant intends to release a handset powered by its new mobile CPU as soon as 2021, but its redesigned laptops won’t Read More
Source: venturebeat.com Google today announced TensorFlow Lite Model Maker, a tool that adapts state-of-the-art machine learning models to custom data sets using a technique known as transfer learning. It wraps machine learning concepts with an API that enables developers to train models in Google’s TensorFlow AI framework with only a few lines of code, and to deploy those Read More
Source: dqindia.com Google’s algorithm for detecting hate speech tended to punish tweets written by African Americans, classifying 46% of non-offensive messages as hate language, even if they were not, according to a report by MIT Technology Review. How did it happen? Algorithms that are focused on classifying text messages usually operate with keywords, which are included Read More
Source: digitalinformationworld.com In the world of technology and devices, nothing remain constant, everything changes with time. It was a time when Facebook was a social media platform where people could express their opinion but now it is hub of marketing, business and journalism. Similarly Google is also expanding. It has started producing phones and started Read More
Source: venturebeat.com A team of Google researchers recently detailed a framework called SimCLR, which improves previous approaches to self-supervised learning, a family of techniques for converting an unsupervised learning problem (i.e., a problem in which AI models train on unlabeled data) into a supervised one by creating labels from unlabeled data sets. In a preprint Read More
Source: enterpriseai.new The list of open source service meshes, a low-latency infrastructure layer designed to link application containers and other microservices, continues to grow as ephemeral application infrastructure scales to production. The latest offering comes from Solo.io, which this week released its “service mesh hub” to the open source community. The hub is billed as Read More
Source: venturebeat.com Google today released Quantization Aware Training (QAT) API, which enables developers to train and deploy models with the performance benefits of quantization — the process of mapping input values from a large set to output values in a smaller set — while retaining close to their original accuracy. The goal is to support the development Read More
Source: venturebeat.com Carnegie Mellon, Google, and Stanford researchers write in a paper that they’ve developed a framework for using weak supervision — a form of AI training where the model learns from large amounts of limited, imprecise, or noisy data — that enables robots to efficiently explore a challenging environment. By learning to reach only areas of its surroundings Read More
Source: allaboutcircuits.com Considering that thousands of components must be packed onto a tiny fingernail-sized chip, this can be difficult. The trouble is that it can take several years to design a chip, and the world of machine learning and artificial intelligence (AI) moves much faster than this. In an ideal world, you want a chip Read More
Source: venturebeat.com Google researchers developed an AI system that learns from the motions of animals to give robots greater agility, reveals a preprint paper and blog post published this week. The coauthors believe their approach could bolster the development of robots that can complete tasks in the real world, for instance transporting materials between multilevel warehouses and fulfillment centers. The teams’ Read More