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Scientists have developed artificial intelligence software that can create proteins that may be useful as vaccines, cancer treatments, or even tools for pulling carbon pollution out of the air.

This research, reported today in the journal Science, was led by the University of Washington School of Medicine and Harvard University. The article is titled “Scaffolding functional sites using deep learning.”

“The proteins we find in nature are amazing molecules, but designed proteins can do so much more,” said senior author David Baker, an HHMI Investigator and professor of biochemistry at UW Medicine. “In this work, we show that machine learning can be used to design proteins with a wide variety of functions.”

Simpler, faster, smaller, and cheaper chips are a key to low-power computing — even in AI.


RISC-V is taking off like a rocket.
In this video I discuss how RISC-V will reshape chip design industry.
#RISCV

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➞ Next Big Wave in CPU design: https://youtu.be/5fMWUC2MFrA
➞ Silicon Quantum Computer from Intel: https://youtu.be/j9eYQ_ggqJk.
➞ New WoW Processor explained: https://youtu.be/-NeRIrRSFs4

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We all learn from early on that computers work with zeros and ones, also known as binary information. This approach has been so successful that computers now power everything from coffee machines to self-driving cars and it is hard to imagine a life without them.

Building on this success, today’s quantum computers are also designed with binary information processing in mind. “The building blocks of quantum computers, however, are more than just zeros and ones,” explains Martin Ringbauer, an experimental physicist from Innsbruck, Austria. “Restricting them to prevents these devices from living up to their true potential.”

The team led by Thomas Monz at the Department of Experimental Physics at the University of Innsbruck, now succeeded in developing a quantum computer that can perform arbitrary calculations with so-called quantum digits (qudits), thereby unlocking more with fewer quantum particles. Their study is published in Nature Physics.

Jingulu—a language spoken by the Jingili people in the Northern Territory—has characteristics that allow it to be easily translated into AI commands.

An Aboriginal could hold the key to solving some of the most challenging between humans and artificial intelligence (AI) systems.

A new paper, published by Frontiers in Physics and led by UNSW Canberra’s Professor Hussein Abbass, explains how Jingulu—a language spoken by the Jingili people in the Northern Territory—has characteristics that allow it to be easily translated into AI commands.

When communication lines are open, individual agents such as robots or drones can work together to collaborate and complete a task. But what if they aren’t equipped with the right hardware or the signals are blocked, making communication impossible? University of Illinois Urbana-Champaign researchers started with this more difficult challenge. They developed a method to train multiple agents to work together using multi-agent reinforcement learning, a type of artificial intelligence.

“It’s easier when agents can talk to each other,” said Huy Tran, an at Illinois. “But we wanted to do this in a way that’s decentralized, meaning that they don’t talk to each other. We also focused on situations where it’s not obvious what the different roles or jobs for the agents should be.”

Tran said this scenario is much more complex and a harder problem because it’s not clear what one agent should do versus another agent.

With the growing technological advancements, it is now possible to create complex applications without spending huge amounts of money, waiting for months and years, and employing multiple developers. The introduction of low-code and no-code platforms has made it possible to build applications integrated with advanced technologies. Here, we have listed some of the most prominent low-code platforms that developers can use to create AI applications in 2022.

Microsoft PowerApps: Microsoft PowerApps is a low-code platform that allows users to create business applications without writing code. The platform uses a drag-and-drop interface to build applications from a set of pre-built components that enables citizen developers to create business applications without writing code.

Salesforce Platform: Salesforce Platform is the first low-code platform that delivers the power and flexibility of an enterprise-grade custom app with the speed, agility, and simplicity of a SaaS app. It provides a visual drag-and-drop interface for creating applications and it offers a variety of ready-to-use templates.

We’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy additional credits in 115-generation increments for $15.

Join DALL·E 2 waitlist

DALL·E, the AI system that creates realistic images and art from a description in natural language, is now available in beta. Today we’re beginning the process of inviting 1 million people from our waitlist over the coming weeks.

Unlike conventional boring machines, which typically use massive cutting wheels to slowly excavate tunnels, Earthgrid’s robot blasts rocks with high temperatures to break and even vaporize them via a process called spallation.

The machine can run on electricity, meaning it can also be emissions-free, depending on how energy is sourced. Earthgrid also claims that its system, which doesn’t need to come into contact with the rocks directly as it excavates, is so fast and cheap it will open up a whole host of possibilities. In other words, projects that were once deemed economically unfeasible will now be possible.

Earthgrid is currently operating on pre-seed funding, and it is developing its “Rapid Burrowing Robot (RBR)”, a spallation boring robot with several 48,600 °F (27,000 °C) plasma torches mounted on large discs.