How long do you think drivers need to retake control of autonomous vehicles? According to a new report from AXA and Burges Salmon, it can be up to 3 seconds. Based on this safety concern and other issues, they have called for better governing standards to be implemented for autonomous vehicles.
As more and more car companies push forward on the self-driving front (Ford, for example, has just announced that they intend to launch a self-driving car service ‘at scale’ by 2021), these standards will become increasingly relevant. Tweet with this link to share your thoughts on whether humans should be retaking control for your chance to win a free CogX ticket.
Yesterday, Adobe announced it has acquired Sayspring, a platform that lets users design, build, and prototype voice apps like Alexa skills or Google Assistant actions. Adobe declined to share financial details of the acquisition.
Adobe did not say exactly how it will utilise Sayspring, though the company has been working to place voice
commands in many of its cloud applications like Photoshop or the Adobe Marketing Cloud since the launch of Sensei, Adobe’s primary AI service, more than a year ago. More than 100 features or services have been rolled out for Sensei since it was introduced in fall 2016, including the ability to track the performance of voice apps and services with Adobe Analytics, CTO Abhay Parasnis recently told VentureBeat.
Asked and answered: here is Facebook’s responses on their blog about how they handle your data. Last week, Mark Zuckerberg testified in front of the US Congress. He answered more than 500 questions and promised that Facebook would get back on the 40 or so questions he couldn’t answer at the time. They are following up with Congress on these directly but they also wanted to take the opportunity to explain more about the information they get from other websites and apps, how they use the data they send to us, and the controls you have.
Questions answered include:
When does Facebook get data about people from other websites and apps?
What kind of data does Facebook get from these websites and apps?
How does Facebook use the data it receives from other websites and apps?
To help space travelers recover from the kinds of mishaps that can occur in the reaches of deep space—mishaps that can end missions and potentially end lives—Lockheed Martin is combining machine learning and artificial intelligence with augmented and virtual reality interfaces to provide a bit more self-reliance to manned space exploration missions at distances at which it
could take more than 40 minutes to get a reply from mission control.
Known as MAIA—the Model-based Artificial Intelligent Assistant—this “digital ecosystem,” as Lockheed calls it, got its first rollout yesterday, as part of Lockheed’s work to support NASA’s NextSTEP program, which works with private-sector companies to develop the technologies that will eventually take men and women to Mars.
Slowly, technology is handing analysts, economic experts and investors new tools that allow them to fact-check official numbers and pronouncements. Generated with the help of satellite imagery and AI, these alternatives to the official data are revealing the secrets of China’s real economy.
Tracking manufacturing growth by satellite
Verifying China’s pollution curbs at Australia’s ports
Tracking oil reserves by shadows: Orbital Insight‘s computer-vision algorithm automatically detects the shadows from the walls of floating-roof oil tanks.
Yesterday, in a talk delivered at the Annual Meeting of the American Association for Cancer Research (AACR), with an accompanying paper “An Augmented Reality Microscope for Real-time Automated Detection of
Cancer” (under review), Google researchers describe a prototype Augmented Reality Microscope (ARM) platform that they believe can possibly help accelerate and democratise the adoption of deep learning tools for pathologists around the world.
The platform consists of a modified light microscope that enables real-time image analysis and presentation of the results of machine learning algorithms directly into the field of view. Importantly, the ARM can be retrofitted into existing light microscopes found in hospitals and clinics around the world using low-cost, readily-available components, and without the need for whole slide digital versions of the tissue being analysed.
A London-based facial recognition startup has talked to the UK government over how it can help manage border crossings between Northern Ireland and the Republic of Ireland following the UK’s departure from the European Union. Iproov, a six-year old company, has received interest from the UK government about working on border crossings and other possible use cases, Andrew Bud, Iproov’s founder and chief executive officer, said in an interview.
The company’s technology, which is already used by banks, including DNB in Norway and Rabobank in the Netherlands, as well as the UK’s tax agency, can be used with a mobile phone and with pre-existing photographic records, such as passport or driving license photographs. It works by using the phone or other device to take a short video of someone’s face while shining a pattern of colored light at it. It then analyses reflection, comparing it to what its own system expects, to verify the person’s identity.
Google’s AIY Projects pair a Raspberry Pi with the accessories, software, and requisite cardboard to make your own Google Assistant smart speaker or object-recognising smart camera. They only launched last year, but Google is already back with new and improved versions of both the AIY Vision Kit and AIY Voice Kit (as spotted by 9to5 Google).
The new kits now include a fresh Raspberry Pi Zero in the box and a preloaded SD card to make it easier to get started. Google is also now providing an AIY companion app for Android (and soon iOS and Chrome) to help with wireless setup and configuration of your new DIY smart speaker or camera — though you can still use the Pi as a standard Linux computer with a monitor, keyboard, and mouse if that’s more your style. The Vision Kit also includes the Pi Camera Module V2.
Intel announced three new measures Monday night at the RSA Conference in San Francisco that will be built into future hardware and assume some of the load previously put on security software, which should improve performance and stability. Intel announced that they are committing to a security training program run in conjunction
with Purdue University to train a new generation of security professionals.
Intel Threat Detection Technology: improve system security by freeing up graphics hardware resources that will be capable of scanning computer memory for malware
Intel Security Essentials: set of hardware-level features that will give systems builders security features such as a secure boot zone and secure storage for cryptographic keys
Advanced Platform Telemetry: uses machine-learning algorithms to help detect security threats on a corporate network