Lifeboat Foundation

They suggest next steps in search for large-scale energy storage solution.

Lithium-ion batteries are recognized for their high energy density in everything from mobile phones to laptop computers and electric vehicles, but as the need for grid-scale energy storage and other applications becomes more pressing, researchers have sought less expensive and more readily available alternatives to lithium.

Batteries using more abundant multivalent metals could revolutionize energy storage. Researchers review the current state of multivalent metal-ion battery research and provide a roadmap for future work in Nature Energy, reporting that the top candidates – using magnesium, calcium, zinc and aluminum – all have great promise, but also steep challenges to meet practical demands.

We are highly sensitive to people around us. As infants, we observe our parents and teachers, and from them we learn how to walk, talk, read—and use smartphones. There seems to be no limit to the complexity of behavior we can acquire from observational learning.

But social influence goes deeper than that. We don’t just copy the behavior of people around us. We also copy their minds. As we grow older, we learn what other people think, feel, and want—and adapt to it. Our brains are really good at this—we copy computations inside the brains of others. But how does the brain distinguish between thoughts about your own mind and thoughts about the minds of others? Our new study, published in Nature Communications, brings us closer to an answer.

Our ability to copy the minds of others is hugely important. When this process goes wrong, it can contribute to various mental health problems. You might become unable to empathize with someone, or, at the other extreme, you might be so susceptible to other people’s thoughts that your own sense of “self” is volatile and fragile.

How do you beat Tesla, Google, Uber and the entire multi-trillion dollar automotive industry with massive brands like Toyota, General Motors, and Volkswagen to a full self-driving car? Just maybe, by finding a way to train your AI systems that is 100,000 times cheaper.

It’s called Deep Teaching.

Perhaps not surprisingly, it works by taking human effort out of the equation.

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.

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.

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.

face_with_colon_three circa 2019.

Invisible to the eye, the dots glow under infrared light from modified smartphones.

Samsung today sent out ‘invites’ for its next Galaxy Unpacked event, when the company is expected to launch the Galaxy Note 20. Indeed, the company teases such in a short video posted with the announcement:

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.