Tag: category-/Science/Computer Science

Nvidia’s STEAL AI gives neural networks better computer vision

Researchers from Nvidia, the University of Toronto, and the Vector Institute for Artificial Intelligence in Toronto have devised a way to more precisely detect and predict where an object begins and ends. This is knowledge that can improve inference for existing computer vision models and labeling training data for future models. In experiments by researchers, […]

Read More

Intel highlights AI that can see around corners, coach children on the autism spectrum, and more

This week marks the start of the Conference on Computer Vision and Pattern Recognition (CVPR), an academic convention cosponsored by the Institute of Electrical and Electronic Engineers’ Computer Society and the Computer Vision Foundation. It’s grown substantially since 1983, its inaugural year, and now sees thousands of research paper from tens of thousands of researchers […]

Read More

MIT CSAIL’s AI can visualize objects using touch

Robots that can learn to see by touch are within reach, claim researchers at MIT’s Computer Science and Artificial Intelligence Laboratory. Really. In a newly published paper that’ll be presented next week at the Conference on Computer Vision and Pattern Recognition in Long Beach, California, they describe an AI system capable of generating visual representations […]

Read More

Google’s Evolved Transformer achieves state-of-the-art performance in translation tasks

The Transformer, a type of AI architecture introduced in a 2017 paper (“Attention Is All You Need“) coauthored by scientists at Google, excels at writing prose and product reviews, synthesizing voices, and crafting harmonies in the style of classical composers. But a team of Google researchers believed it could be taken a step further with […]

Read More

Pinterest details Complete the Look, a context-aware visual search tool

Pinterest today introduced Complete the Look, a visual search tool being developed for Home Decor and Fashion categories that makes style recommendations for multiple items in a photo like shirts, dresses, shoes, or sunglasses. Complete the Look recommendations take into consideration context of surrounding objects and elements in a photo such as season, body type, […]

Read More

IBM’s AI creates new labeled image sets using semantic content

In a paper scheduled to be presented next week during the annual Conference on Computer Vision and Pattern Recognition (CVPR), scientists at IBM, Tel-Aviv University, and Technion describe a novel AI model design — Label-Set Operations (LaSO ) networks — designed to combine pairs of labeled image examples (e.g., a pic of a dog annotated […]

Read More

Facebook open-sources AI Habitat to help robots navigate realistic environments

Facebook AI Research is today making available AI Habitat, a simulator that can train AI agents that embody things like a home robot to operate in environments meant to mimic typical real-world settings like an apartment or office. For a home robot to understand what to do when you say “Can you check if laptop […]

Read More

AI improves Alexa’s error rate with challenging training sets

Machine learning algorithms at the core of voice assistants learn to make predictions from libraries of labeled samples. For instance, Amazon’s Alexa is regularly fed text snippets like “Play the Prince song 1999,” where “1999” and “Prince” are mapped to the categories “SongName” and “ArtistName,” respectively. It’s a highly effective means of driving systems to […]

Read More

Google limits content-blocking Chrome extensions that collect sensitive data

In an effort to tamp down data collection by third-party ad-blocking Chrome browser extensions, Google today announced that it intends to replace parts of Chrome’s Web Request API, a set of events and functions that enable developers to monitor, analyze, and block web traffic, with the Declarative Net Request API, which doesn’t require access to […]

Read More

Testim raises $10 million to bring its automated software testing to native mobile apps

Automated software testing platform Testim has raised $10 million in a series B round of funding led by SignalFire, with participation from Lightspeed Venture Partners, Meron Capital, NHN Ventures, and Spider Capital. Founded in 2014, Testim is one of a number of startups offering companies artificial intelligence (AI)-based tools to continuously test their software. Indeed, quality […]

Read More

IBM’s Watson Studio AutoAI automates enterprise AI model development

Deploying AI-imbued apps and services isn’t as challenging as it used to be, thanks to offerings like IBM’s Watson Studio (previously Data Science Experience). Watson Studio, which debuted in 2017 after a 12-month beta period, provides an environment and tools that help to analyze, visualize, cleanse, and shape data; to ingest streaming data; and to […]

Read More

The 3 critical AI research questions (VB Live)

Presented by Qualcomm Technologies, Inc. AI is dramatically enhancing industries, products, and core capabilities. But to make AI truly ubiquitous, it needs to run on end devices within a tight power and thermal budget. To learn more about the research that is advancing AI adoption, don’t miss this VB Live event featuring Qualcomm’s Senior Director […]

Read More

Facebook AI researchers’ MelNet AI sounds like Bill Gates

A pair of Facebook AI researchers used TED Talks and other data to make AI that closely mimics music and the voices of famous people, including Bill Gates. MelNet is a generative model that uses spectrogram visuals of audio for training data instead of waveforms. Doing so allows for the capture of multiple seconds of […]

Read More

Intel AI researchers combine reinforcement learning methods to teach 3D humanoid how to walk

Researchers from Intel’s AI Lab and the Collaborative Robotics and Intelligent Systems Institute at Oregon State University have combined a number of methods to make better-performing reinforcement learning systems that can be applied to things like robotic control, systems governing autonomous vehicle function, and other complex AI tasks. Collaborative Evolutionary Reinforcement Learning (CERL) can achieve […]

Read More

Intel researchers compress AI models without compromising accuracy

AI models’ sizes correlate with their training times, generally speaking, such that larger models take more time — and subsequently more compute — to train. It’s possible to optimize the connections among the mathematical functions (or neurons) through a process known as pruning, which reduces their overall size without compromising accuracy. But pruning can’t be […]

Read More

Microsoft’s M12 leads $25 million investment in API marketplace RapidAPI

RapidAPI, a developer-focused marketplace for discovering and connecting with application programming interfaces (APIs), has raised $25 million in a series B round of funding led by Microsoft’s venture capital arm M12, with participation from Andreessen Horowitz, Green Bay Capital, and DNS Capital. Founded in 2015, San Francisco-based RapidAPI connects developers with thousands of public APIs, […]

Read More

Google launches TensorFlow.Text library for language AI models

Google today introduced TensorFlow.Text, a library for preprocessing language models with TensorFlow. The open source machine learning framework created by the Google Brain team has seen more than 41 million downloads. TensorFlow.Text can be installed using PIP and comes with the ability to utilize tokens to break apart and analyze text like words, numbers, and […]

Read More

Google’s AI generates videos with ‘unprecedented complexity’

Generating videos from whole cloth isn’t anything new for neural networks, or layers of mathematical functions modeled after biological neurons — researchers last week described a machine learning system capable of hallucinating clips from start and end frames alone. But because of the inherent randomness, complexity, and information denseness of videos, modeling realistic ones at […]

Read More

Amazon’s AI rewrites voice commands in natural language to reduce false positives

“Reference resolution” is a considerable challenge in natural language processing — in the context of AI assistants like Alexa, it entails correctly associating a word like “their” in the utterance like “play their latest album” with a given musician. Scientists at Amazon have previously addressed it by tapping AI that maps correspondences between variables used […]

Read More

Foreigners are still interested in U.S. tech jobs despite volatile politics

Global interest in technology jobs in the United States is holding steady, despite the volatile political situation related to immigration, according to an analysis by job site Indeed. But interest has declined in India, which has historically been the largest source of foreign clicks on U.S. tech job listings. That’s the latest interesting data that […]

Read More