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Category: mobile phones

Japanese researchers have created a smart face mask that has a built in speaker and can translate speech into 8 different languages.

We live in a world full of technology but it was a world without smart masks, until now!

A Japanese technology company Donut Robotics has taken the initiative to create the first smart face masks which connects to your phone. Of course, we couldn’t have battled coronavirus with a simple mask that still does the job of protecting us perfectly well. We as a race need to bring technology into everything and more so if it does an array of extremely important, life-saving things like using a speaker to amplify a person’s voice, covert a person’s speech into text and then translate it into eight different languages through a smartphone app.

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Car buyers in Europe can now get their hands on a brand-new electric vehicle for less than the typical cost of a mobile-phone contract. Thanks to newly generous subsidies, some are even free.

Shoppers have swarmed virtual showrooms in Germany and France — the region’s two largest passenger car markets — after their national governments boosted electric-vehicle incentives to stimulate demand. Their purchase subsidies are now among the most favorable in the world.

The state support is allowing Autohaus Koenig, a dealership chain with more than 50 locations across Germany, to advertise a lease for the battery-powered Renault Zoe that is entirely covered by subsidies. In the 20 days since it put the offer online, roughly 3,000 people have inquired and about 300 have signed contracts.

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Google today announced that it has signed up Verizon as the newest customer of its Google Cloud Contact Center AI service, which aims to bring natural language recognition to the often inscrutable phone menus that many companies still use today (disclaimer: TechCrunch is part of the Verizon Media Group). For Google, that’s a major win, but it’s also a chance for the Google Cloud team to highlight some of the work it has done in this area. It’s also worth noting that the Contact Center AI product is a good example of Google Cloud’s strategy of packaging up many of its disparate technologies into products that solve specific problems.

“A big part of our approach is that machine learning has enormous power but it’s hard for people,” Google Cloud CEO Thomas Kurian told me in an interview ahead of today’s announcement. “Instead of telling people, ‘well, here’s our natural language processing tools, here is speech recognition, here is text-to-speech and speech-to-text — and why don’t you just write a big neural network of your own to process all that?’ Very few companies can do that well. We thought that we can take the collection of these things and bring that as a solution to people to solve a business problem. And it’s much easier for them when we do that and […] that it’s a big part of our strategy to take our expertise in machine intelligence and artificial intelligence and build domain-specific solutions for a number of customers.”

The company first announced Contact Center AI at its Cloud Next conference two years ago and it became generally available last November. The promise here is that it will allow businesses to build smarter contact center solutions that rely on speech recognition to provide customers with personalized support while it also allows human agents to focus on more complex issues. A lot of this is driven by Google Cloud’s Dialogflow tool for building conversational experiences across multiple channels.

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Electronic systems – from the processors powering smartphones to the embedded devices keeping the Internet of Things humming – have become a critical part of daily life. The security of these systems is of paramount importance to the Department of Defense (DoD), commercial industry, and beyond. To help protect these systems from common means of exploitation, DARPA launched the System Security Integration Through Hardware and Firmware (SSITH) program in 2017. Instead of relying on patches to ensure the safety of our software applications, SSITH seeks to address the underlying hardware vulnerabilities at the source. Research teams are developing hardware security architectures and tools that protect electronic systems against common classes of hardware vulnerabilities exploited through software.

To help harden the SSITH hardware security protections in development, DARPA today announced its first ever bug bounty program called, the Finding Exploits to Thwart Tampering (FETT) Bug Bounty. FETT aims to utilize hundreds of ethical researchers, analysts, and reverse engineers to deep dive into the hardware architectures in development and uncover potential vulnerabilities or flaws that could weaken their defenses. DARPA is partnering with the DoD’s Defense Digital Service (DDS) and Synack, a trusted crowdsourced security company on this effort. In particular, FETT will utilize Synack’s existing community of vetted, ethical researchers as well as artificial intelligence (AI) and machine learning (ML) enabled technology along with their established vulnerability disclosure process to execute the crowdsourced security engagement.

Bug bounty programs are commonly used to assess and verify the security of a given technology, leveraging monetary rewards to encourage hackers to report potential weaknesses, flaws, or bugs in the technology. This form of public Red Teaming allows organizations or individual developers to address the disclosed issues, potentially before they become significant security challenges.

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Samsung’s latest scientific breakthrough might change the very way we perceive semiconductors, largely on account of the fact it’s two-dimensional. Called amorphous boron nitride (a-BN), the substance in question is composed of but a single layer of atoms and characterized by an amorphous (liquid-like) molecule structure. It’s also the best 2D material for insulation ever synthetized, with Samsung hoping it will be able to utilize in production of revolutionary graphene wafers with unprecedentedly low level of electrical interference.

The discovery of a-BN is hardly Samsung’s first foray into 2D materials. The first and possibly most famous such substance — graphene — has been the subject of countless projects at the Korean conglomerate ever since it was first isolated in 2004. Following the 2016 Galaxy Note 7 fiasco, Samsung is believed to have doubled down on graphene R&D with the goal of eventually integrating the 2D material into its batteries, making them more stable, i.e. less prone to spontaneous combustions.

Making graphene batteries is no small feat, however, and it’s been a while since Samsung last made significant inroads on that front. Scalability remains a key issue, particularly in regards to mass-production costs. Graphene wafers, on the other hand, are expected to play a major role in the development and volume production of next-generation server memory modules, as well as DRAM and NAND memory chips.

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A glove that translates sign language into speech in real time has been developed by scientists — potentially allowing deaf people to communicate directly with anyone, without the need for a translator.

A glove that translates sign language into speech in real time has been developed by scientists — potentially allowing deaf people to communicate directly with anyone, without the need for a translator.

The wearable device contains sensors that run along the four fingers and thumb to identify each word, phrase or letter as it is made in American Sign Language.

Those signals are then sent wirelessly to a smartphone, which translates them into spoken words at a rate of one word per second.

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