Apple AI chief and ex-Googler John Giannandrea dives into the details with Ars.
Historically, Apple has not had a public reputation for leading in this area. That’s partially because people associate AI with digital assistants, and reviewers frequently call Siri less useful than Google Assistant or Amazon Alexa. And with ML, many tech enthusiasts say that more data means better models—but Apple is not known for data collection in the same way as, say, Google.
Despite this, Apple has included dedicated hardware for machine learning tasks in most of the devices it ships. Read More
Tag Archives: Big7
Why is Tik-Tok being forced to sell to Microsoft?
So, what is the real purpose of suppressing Tik-Tok?
It is a fight over “discourse power” on the Internet.
— Luke Wen via Jeffrey Ding — Read More
Introducing the Model Card Toolkit for Easier Model Transparency Reporting
Machine learning (ML) model transparency is important across a wide variety of domains that impact peoples’ lives, from healthcare to personal finance to employment. The information needed by downstream users will vary, as will the details that developers need in order to decide whether or not a model is appropriate for their use case. This desire for transparency led us to develop a new tool for model transparency, Model Cards, which provide a structured framework for reporting on ML model provenance, usage, and ethics-informed evaluation and give a detailed overview of a model’s suggested uses and limitations that can benefit developers, regulators, and downstream users alike.
Over the past year, we’ve launched Model Cards publicly and worked to create Model Cards for open-source models released by teams across Google. Read More
Google’s TF-Coder tool automates machine learning model design
Researchers at Google Brain, one of Google’s AI research divisions, developed an automated tool for programming in machine learning frameworks like TensorFlow. They say it achieves better-than-human performance on some challenging development tasks, taking seconds to solve problems that take human programmers minutes to hours. Read More
2020 Tencent AI White Paper (Translated)
The development of artificial intelligence is not necessarily calm. Since the big battles between Alpha Go and humans re-launched the artificial intelligence boom, it has experienced hype and frenzy. After the bubble faded, there have been difficulties with commercialization and challenges with privacy and ethics. But in the past six months, the integration of artificial intelligence and industry has never been closer. 2020 is a year that will go down in history. In the context of the global fight against the pandemic, artificial intelligence has responded quickly in medical, urban governance, industry, non-contact services and other fields, landing from the “cloud” and playing a key role in the epidemic, Improving the overall efficiency of the fight against the epidemic. The novel coronavirus pandemic has become the touchstone of digital technology. As an important driving force for a new round of technological revolution and industrial transformation, artificial intelligence has verified its true value to society. In the post-epidemic era, long-term economic recovery and development have become the focus. The new infrastructure has given artificial intelligence a new mission, requiring artificial intelligence technology to play a leading role in the future industry. Through deep integration with traditional industries, it will help the real economy to transform to digital and intelligent. It will give birth to new business formats and realize new transformations and new developments. From the demand side, the pressure of long-term economic transformation and the recent anti-epidemic restoration have formed a dual traction. All walks of life are fully aware that accelerating digital, networked, and intelligent transformation is an inevitable trend; From the supply side, AI technology is part of an important national strategy, and the various ecological layers of the industry have been continuously enriched and mature. Industry participants have focused on fields where there is concentrated value, and the main theme is to get rid of the “fake” and retain the “true.”
Therefore, we believe that artificial intelligence is entering the stage of integration of technology and industry. It is characterized by “ubiquitous intelligence”. Read More
Fabricius
Explore Fabricius, a Google Arts & Culture Lab Experiment that uses machine learning to help translate ancient Egyptian hieroglyphs. Read More
Image Search with Text Feedback by Visiolinguistic Attention Learning
Image search with text feedback has promising impacts in various real-world applications, such as e-commerce and internet search. Given a reference image and text feedback from user, the goal is to retrieve images that not only resemble the input image, but also change certain aspects in accordance with the given text. This is a challenging task as it requires the synergistic understanding of both image and text. In this work, we tackle this task by a novel Visiolinguistic Attention Learning (VAL) framework. Specifically, we propose a composite transformer that can be seamlessly plugged in a CNN to selectively preserve and transform the visual features conditioned on language semantics. By inserting multiple composite transformers at varying depths,VAL is incentive to encapsulate the multi-granular visiolinguistic information, thus yielding an expressive representation for effective image search. We conduct comprehensive evaluation on three datasets: Fashion200k, Shoes and FashionIQ. Extensive experiments show our model exceedsexisting approaches on all datasets, demonstrating consistent superiority in coping with various text feedbacks, including attribute-like and natural language descriptions. Read More
Facebook built a new fiber-spinning robot to make internet service cheaper
The robot’s code name is Bombyx, which is Latin for silkworm, and pilot tests with the machine begin next year.
The robot rests delicately atop a power line, balanced high above the ground, almost as if it’s floating. Like a short, stocky tightrope walker, it gradually makes its way forward, leaving a string of cable in its wake. When it comes to a pole, it gracefully elevates its body to pass the roadblock and keep chugging along. Read More
Why it matters that IBM is getting out of the facial recognition business
The news that IBM will no longer produce facial recognition technology might not sound huge at first. The company’s commitment to opposing this type of racially biased surveillance technology fits into a welcome trend of actions being taken after anti-police brutality protests have swept the nation. Although some are already warning that IBM’s move won’t end the age of facial recognition, others say it’s a significant step in the right direction. Read More
In cloud clash with Alibaba, underdog Tencent adopts more aggressive tactics
For Chinese cloud services companies, the coronavirus outbreak has become a rainmaker, bringing in new business far and wide as firms shift work online and authorities develop apps and systems to help contain outbreaks and manage social restrictions.
For Tencent Holdings Ltd in particular, it has also become the perfect time to flex new muscles as it seeks to catch up with Alibaba Group Holding Ltd, its arch-rival and the dominant player in the country’s cloud market by far. Read More
Rick's Cafe AI 