Daily Archives: January 23, 2018

Intel patches for Spectre cause reboots, Intel tells people to stop installing them and also please help test for them

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As we start the week, I want to provide an update on the reboot issues we reported Jan. 11. We have now identified the root cause for Broadwell and Haswell platforms, and made good progress in developing a solution to address it. Over the weekend, we began rolling out an early version of the updated solution to industry partners for testing, and we will make a final release available once that testing has been completed.

Based on this, we are updating our guidance for customers and partners:

We recommend that OEMs, cloud service providers, system manufacturers, software vendors and end users stop deployment of current versions, as they may introduce higher than expected reboots and other unpredictable system behavior. For the full list of platforms, see the Intel.com Security Center site.
We ask that our industry partners focus efforts on testing early versions of the updated solution so we can accelerate its release. We expect to share more details on timing later this week.
We continue to urge all customers to vigilantly maintain security best practice and for consumers to keep systems up-to-date.

Source: Root Cause of Reboot Issue Identified; Updated Guidance for Customers and Partners

Amazon.com: Dr.meter Wifi Endoscope, 2.0 Megapixels HD Digital Inspection Camera with 5 Meters(16.4ft) Cable and 8 LEDs in the Camera Handheld Borescope Supports Windows iOS and Android System: Camera & Photo

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Amazon.com: Dr.meter Wifi Endoscope, 2.0 Megapixels HD Digital Inspection Camera with 5 Meters(16.4ft) Cable and 8 LEDs in the Camera Handheld Borescope Supports Windows iOS and Android System: Camera & Photo

Source: Amazon.com: Dr.meter Wifi Endoscope, 2.0 Megapixels HD Digital Inspection Camera with 5 Meters(16.4ft) Cable and 8 LEDs in the Camera Handheld Borescope Supports Windows iOS and Android System: Camera & Photo

Revealing True Emotions Through Micro-Expressions: A Machine Learning Approach

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Micro-expressions–involuntary, fleeting facial movements that reveal true emotions–hold valuable information for scenarios ranging from security interviews and interrogations to media analysis. They occur on various regions of the face, last only a fraction of a second, and are universal across cultures. In contrast to macro-expressions like big smiles and frowns, micro-expressions are extremely subtle and nearly impossible to suppress or fake. Because micro-expressions can reveal emotions people may be trying to hide, recognizing micro-expressions can aid DoD forensics and intelligence mission capabilities by providing clues to predict and intercept dangerous situations. This blog post, the latest highlighting research from the SEI Emerging Technology Center in machine emotional intelligence, describes our work on developing a prototype software tool to recognize micro-expressions in near real-time.

Source: Revealing True Emotions Through Micro-Expressions: A Machine Learning Approach

Facebook open sources Detectron, object detection framework in caffe2

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Today, Facebook AI Research (FAIR) open sourced Detectron — our state-of-the-art platform for object detection research.

The Detectron project was started in July 2016 with the goal of creating a fast and flexible object detection system built on Caffe2, which was then in early alpha development. Over the last year and a half, the codebase has matured and supported a large number of our projects, including Mask R-CNN and Focal Loss for Dense Object Detection, which won the Marr Prize and Best Student Paper awards, respectively, at ICCV 2017. These algorithms, powered by Detectron, provide intuitive models for important computer vision tasks, such as instance segmentation, and have played a key role in the unprecedented advancement of visual perception systems that our community has achieved in recent years.

Source: Facebook open sources Detectron – Facebook Research