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Qualcomm Unveils Gambit to Build “Digital Chassis” for Self-Driving Cars

It’s also building chips for Microsoft’s AR glasses.

At the 2022 Consumer Electronics Show (CES) currently taking place in Las Vegas, chip maker Qualcomm’s CEO Cristiano Amon announced several key new initiatives.

Amon described Qualcomm’s technology roadmap as including connectivity, and Qualcomm’s Snapdragon premium-tier Android smartphones. Snapdragon is a suite of system-on-a-chip (SoC) semiconductor products whose central processing units (CPUs) utilize the ARM architecture.

Qualcomm’s new initiatives will be in the spaces of: next-generation ARM PCs, the metaverse, wireless fiber, Advanced Driver-Assistance Systems (ADAS), and virtual and augmented reality (VR/AR).

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Fully Autonomous Delivery Robots Might Just Become An Everyday Reality

With plans for a nationwide rollout in the United States.

While the coronavirus pandemic undoubtedly brought grave hardships to most of us, it has also provided some opportunity for innovation. At this year’s CES 2022, the world’s largest technology show that takes place in Las Vegas, Nevada, the tech startup Ottonomy IO presented tremendous progress in building fleets of autonomous delivery robots. Its machines have already been employed at retail locations around the U.S., with a very real possibility they are coming to a store or drive-through near you soon.

How the robots work.
At CES, Ottonomy IO explained how its robot delivery service functions. Once you make an order online through an app, the package you ordered gets placed in a cart-like robot, which navigates to a designated pickup location, which can be quite flexible. After the robot finds you, it scans your phone, then opens up a secure locker inside, allowing you to pick up your package. One major advantage of this human-less process from a Covid-safety standpoint is that the whole interaction is contactless.

Individual artificial intelligence: A new technology that will change our world

“Our consciousness is everything. You become what you think about.” Buddha.

In the few minutes that you are reading this article, I will tell you about a completely new type of artificial intelligence, I will name the design features and advantages, I will outline the immediate prospects and possible long-term consequences of the introduction of this technology into real life. Together we will touch the future.

AI Robots Date Humans. Beyond Atlas And Ameca

Ameca’s incredible skills are part of a huge leap for AI Robots. The robot from Engineered Arts is a taste of the future Boston Dynamics and Tesla. Elon Musk is building a real Matrix, almost like the matrix movie.

We’re new to youtube, so comments and subs are really helpful.

The charity mentioned at the end is Give Directly:
https://www.givedirectly.org/

Ameca, the humanoid robot:
https://www.youtube.com/watch?v=IPukuYb9xWw.

Boston Dynamics dancing robots:
https://youtu.be/fn3KWM1kuAw.

AI solves a 55×55×55 Rubik’s Cube:

How DevOps platform Zeet accelerates application deployment

Today, technical decision-makers at companies, whether big or small, try to look for flexible ways to speed up application development and ensure long-term scalability for their engineering teams. Configuring solutions such as AWS requires a team of in-house experts, which is expensive and takes time to build. In fact, more than 77% of all tech companies run into DevOps challenges across the board, including cost, risks, security, optimization of the deployment pipeline, and scaling.

San Francisco-based Zeet, a platform that solves DevOps challenges and accelerates application deployment for startups, has raised $2 million in a seed round of funding led by venture capital firm Race Capital. The company plans to use the funding, which also saw participation from GGV Capital, Founders Inc, and multiple engineering leaders, to build out its teams across areas ranging from engineering to marketing and meet growing demand from customers.

Founded in 2020 by Johnny Dallas and Zihao Zhang, Zeet strives to tackle these bottlenecks through automation. The solution connects to a cloud account and automates traditionally manual DevOps tasks, allowing a team to quickly go from code to a scalable application.

AI could repair the damage done

First, AI can be taught to forget. This means that not only can AI identify who knows what about a topic, but it can also contextualize that information and recognize when information becomes outdated and redundant, meaning it can ‘forget’ unuseful data as needed. Second, using non-sensitive information drawn from existing tools, AI is able to see through silos. It can use all kinds of information to draw conclusions at scale, creating in one integrated platform a live map or ‘knowledge network’ of who knows what within an organization.

In short, using data, AI can build a network of knowledge and expertise in real time. When searching for answers, everyone can then access the most accurate, up-to-date information or the best expert, at that specific point in time, to help instantly.

Before the zettabytes of data grow to yottabytes, it’s time to embrace AI’s role in tackling data overload. With AI, we can start leveraging data in the way businesses and employees demand: to empower connection, problem-solving, collaboration, and finding the answers we need.

The Photonic Future of CPU’s and GPU’s — Lightelligence PACE

The photonic future of cpu’s and gpu’s — lightelligence PACE.


The new Photonics Hardware company Lightelligence has just announced their Photonics AI Accelerator card PACE that’s eventually supposed to be put into consumers personal computers in conjunction with their regular CPU’s and GPU’s. The crazy speed and efficiency of those Photonic chips are supposed to make Artificial Intelligence model training much faster and keep the heat down.

TIMESTAMPS:
00:00 A New Hardware Maker.
02:13 Why are Photonic Chips better?
04:23 How do Photonic Chips work?
06:45 The Future of Photonic Computing.
09:47 Last Words.

#photonics #cpu #lightelligence

KUKA Innovation Award 2022

The “Robotics in Healthcare” Challenge is about the interaction of robotic systems with humans in medical applications. For this purpose, we are looking for ideas around the topic of diagnosis, rehabilitation and treatment in the healthcare and nursing sector. We encourage participants to submit a concept that uses a robotic system to improve the ability to monitor health and prevent, detect, treat, and manage disease, as well as to test and demonstrate new models and tools for health and care delivery. We are looking for solutions that will enable new robotic use cases for the future of healthcare. You can win 20,000 Euros.


Call for Participation: Until 7 January 2022 you can apply with your innovative concepts to the Medical Robotics Challenge!

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