AI News, New Releases in AI & Machine Learning artificial intelligence

Microsoft will be adding AI ethics to its standard checklist for product release

Microsoft will “one day very soon” add an ethics review focusing on artificial-intelligence issues to its standard checklist of audits that precede the release of new products, according to Harry Shum, a top executive leading the company’s AI efforts.

Shum, who is executive vice president of Microsoft’s AI and Research group, said companies involved in AI development “need to engineer responsibility into the very fabric of the technology.” Among the ethical concerns are the potential for AI agents to pick up all-too-human biases from the data on which they’re trained, to piece together privacy-invading insights through deep data analysis, to go horribly awry due to gaps in their perceptual capabilities, or simply to be given too much power by human handlers.

In addition to pre-release audits, Microsoft is addressing AI’s ethical concerns by improving its facial recognition tools and adding altered versions of photos in its training databases to show people with a wider variety of skin colors, other physical traits and lighting conditions.

Press Releases News / Events Press Releases IR Calendar Email Alerts New Merced EOS S3AI HDK from QuickLogic Enables Fast AI Endpoint Solution Development Download as PDF March 25, 2019 - Merced EOS S3AI Hardware Development Kit supports easy evaluation of EOS S3AI platform and QuickLogic's Time-Series AI Solution - Includes a 90-day trial period for the SensiML Analytics Toolkit - Delivers a practical end-to-end solution with minimal data science and firmware resources SUNNYVALE, Calif., March 25, 2019 /PRNewswire/ -- QuickLogic Corporation (NASDAQ: QUIK), a developer of ultra-low power multi-core voice-enabled SoCs, embedded FPGA IP, and Endpoint AI solutions, today announced the launch of its Merced EOS™ S3AI Hardware Development Kit (HDK) to enable quick development of applications for endpoint Artificial Intelligence (AI) and Machine Learning (ML). The Merced HDK is an evaluation platform for QuickLogic's EOS S3AI SoC and includes continuous (time-series) sensors accelerometer, gyroscope, magnetometer, and two digital microphones (PDM). It's an Arduino form-factor compatible development kit which makes it easy for developers to ramp up an AI design by easily adding different sensors or 3rd party modules. The HDK links directly with the SensiML™ Data Analytics Toolkit (free 90-day evaluation period included) which enables a seamless flow from sensor data collection all the way through automatic feature extraction and classifier development using integrated machine learning technology. The AI model binary file is directly programmed by the SensiML Toolkit into the EOS S3AI device on the HDK. The board can easily be updated via an on-board USB-2 UART connection to create demos and prototypes without additional time or resources. Additional sensors can be added to the HDK by way of the available connectors and accompanying SDK. "The new Merced EOS S3AI Hardware Development Kit supports quick and easy AI development for a variety of endpoint IoT applications," said Sam Massih, director of product management at QuickLogic. "Its sophisticated board-level features, seamless support of the EOS S3AI SoC, and smooth integration with the SensiML Analytics Toolkit make it an ideal starting point for developing sophisticated, ultra-low power AI-based products without large teams of data scientists and HW/SW engineers." AvailabilityThe Merced EOS S3AI HDK (QAI-EVALKIT-AA-1.0), EOS S3AI SoC (EOSAI-S-PDN64 or EOSAI-S-WRN42) and the SensiML Analytics Toolkit are all available now.  For more information, visit www.quicklogic.com/products/eos-s3ai. About QuickLogicQuickLogic develops low power, multi-core semiconductor platforms and Intellectual Property (IP) for Artificial Intelligence (AI), voice and sensor processing. The solutions include an embedded FPGA IP (eFPGA) for hardware acceleration and pre-processing, and heterogeneous multi-core SoCs that integrate eFPGA with other processors and peripherals. The Analytics Toolkit from the company's wholly-owned subsidiary, SensiML completes the 'full stack' end-to-end solution with accurate sensor algorithms using AI technology. The full range of platforms, software tools and eFPGA IP enables the practical and efficient adoption of AI, voice and sensor processing across the multitude of mobile, wearable, hearable, consumer, industrial, edge and endpoint IoT applications. For more information, visit www.quicklogic.com and https://www.quicklogic.com/blog/. About SensiMLSensiML, a subsidiary of QuickLogic, offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company's flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto generation, and testing. The SensiML Toolkit supports Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations. For more information, visit www.sensiml.com. QuickLogic and logo are registered trademarks and EOS and SensiML are trademarks of QuickLogic. All other trademarks are the property of their respective holders and should be treated as such.   View original content to download multimedia:http://www.prnewswire.com/news-releases/new-merced-eos-s3ai-hdk-from-quicklogic-enables-fast-ai-endpoint-solution-development-300817499.html SOURCE QuickLogic Corporation Released March 25, 2019 /* Style Definitions */ span.prnews_span { font-size:8pt; font-family:"Arial"; color:black; } a.prnews_a { color:blue; } li.prnews_li { font-size:8pt; font-family:"Arial"; color:black; } p.prnews_p { font-size:0.62em; font-family:"Arial"; color:black; margin:0in; }

SUNNYVALE, Calif., March 25, 2019 /PRNewswire/ -- QuickLogic Corporation (NASDAQ: QUIK), a developer of ultra-low power multi-core voice-enabled SoCs, embedded FPGA IP, and Endpoint AI solutions, today announced the launch of its Merced EOS™ S3AI Hardware Development Kit (HDK) to enable quick development of applications for endpoint Artificial Intelligence (AI) and Machine Learning (ML).

The HDK links directly with the SensiML™ Data Analytics Toolkit (free 90-day evaluation period included) which enables a seamless flow from sensor data collection all the way through automatic feature extraction and classifier development using integrated machine learning technology.

'Its sophisticated board-level features, seamless support of the EOS S3AI SoC, and smooth integration with the SensiML Analytics Toolkit make it an ideal starting point for developing sophisticated, ultra-low power AI-based products without large teams of data scientists and HW/SW engineers.'

The full range of platforms, software tools and eFPGA IP enables the practical and efficient adoption of AI, voice and sensor processing across the multitude of mobile, wearable, hearable, consumer, industrial, edge and endpoint IoT applications.

Stanford’s new AI institute is inadvertently showcasing one of tech’s biggest problems

The artificial intelligence industry is often criticized for failing to think through the social repercussions of its technology—think instituting gender and racial bias in everything facial-recognition software to hiring algorithms.

The Institute for Human-Centered Artificial Intelligence (HAI), which plans to raise $1 billion from donors to fund its initiatives, aims to give voice to professionals from fields ranging from the humanities and the arts to education, business, engineering, and medicine, allowing them to weigh in on the future of AI. “Now is our opportunity to shape that future by putting humanists and social scientists alongside people who are developing artificial intelligence,” Stanford president Marc Tessier-Lavigne declared in a press release.

AI’s “sea of dudes” or”white guy problem” has been well-documented, and awareness of the topic is becoming more and more mainstream.  Diversity and inclusion has become boilerplate language for any major industry event, including Stanford’s own literature on the launch of HAI, and the institute was quick to acknowledge the problems with its faculty makeup.

“We know we still have a long way to go to reach everyone who can contribute to HAI’s mission and it is our top priority,” a Stanford HAI spokesperson said in a statement to Quartz, noting that the institute will be hiring 20 more faculty members soon. ”We know this will be challenging based on the statistics and existing systemic issues, and we know it is critical to the long-term success of HAI and indeed, AI itself.

Statistics released earlier this year by the AI Index report detail an industry where fewer than 20% of AI professors are female. (A Stanford spokesperson points out that the HAI leadership team is 30% female, and co-founded by a woman.) A tour through the faculty pages of other top AI universities like Carnegie Mellon, University of Illinois Champaign-Urbana, and MIT CSAIL illustrates how few people of color or women there are in roles of academic power.

AI vs Machine Learning vs Deep Learning | Machine Learning Training with Python | Edureka

NIT Warangal Post Graduate Program on AI and Machine Learning: ** This Edureka Machine Learning tutorial (Machine ..

The Current State and Future of Artificial Intelligence | A Documentary by Ashlee Vance

In this documentary the story of AI's rise is told in detail for the first time, as journalist Ashlee Vance heads to the unexpected birthplace of the technology, ...

Past, Present and Future of AI / Machine Learning (Google I/O '17)

We are in the middle of a major shift in computing that's transitioning us from a mobile-first world into one that's AI-first. AI will touch every industry and transform ...

How artificial intelligence will change your world in 2019, for better or worse

From a science fiction dream to a critical part of our everyday lives, artificial intelligence is everywhere. You probably don't see AI at work, and that's by design.

Why Machine Learning is The Future? | Sundar Pichai Talks About Machine Learning

Why Machine Learning is The Future? | Sundar Pichai Talks About Machine Learning ...

✪ TOP 5: NEW Artificial Intelligence Technology You NEED To See (AI Gadgets 2017)

Check out our latest picks of Top 5 Awesome New Artificial Intelligence Technology and Amazing AI Gadgets. Let us know in the comments which of these new ...

The Next Leap: How A.I. will change the 3D industry - Andrew Price

Blender Conference 2018 - Thursday 25 October at the Theater. Support Blender by joining the Development Fund Follow Andrew ..

AI Codes its Own ‘AI Child’ - Artificial Intelligence breakthrough!

Subscribe here: Check out the previous episode: Become a Patro

What is Artificial Intelligence (or Machine Learning)?

What is AI? What is machine learning and how does it work? You've probably heard the buzz. The age of artificial intelligence has arrived. But that doesn't mean ...

Artificial Intelligence (AI) and Machine Learning Explained

This video explains the difference between narrow or applied Artificial Intelligence and general purpose Artificial ..