Lifeboat Foundation

A secure method for cloud-based quantum computing harnesses the power of quantum physics to keep data confidential.

Progress in quantum technology has been swift, but we still are far from the day when everyone will have a quantum computer in their house or at their business. The early stages of quantum computing will likely rely on a quantum version of the “cloud,” where users send data and computing tasks to a state-of-the-art quantum machine hosted by Google, IBM, or another company. But is that approach secure? It can be, thanks to the impenetrable secrecy of quantum-based protocols. A recent experiment demonstrates a version of “blind quantum computing” using trapped ions [1]. The protocol is scalable, meaning it offers potential to be incorporated into larger and larger quantum computing systems.

Quantum computers have the potential to be game changers in computationally intensive tasks such as drug discovery and material design. In these highly competitive sectors, there would be concerns about using a cloud-based quantum computer. “A company searching for a new wonder drug or for a high-performance battery material wouldn’t want to reveal confidential secrets,” explains Peter Drmota of the University of Oxford. However, it has been shown—in theory—that one can perform computations on a remote quantum computer while hiding the data and the operations done on such data. “Blind quantum computing could give a client confidence to use whoever’s quantum computer,” Drmota says.

Autonomous and AI-enabled systems increasingly rely on optical and radio frequency sensors and significant computer power. They face growing vulnerabilities from directed-energy laser and microwave weapons.

By David C. Stoudt

In May the U.S. secretary of the Air Force flew in an F-16 that engaged in a mock dogfight over the California desert while controlled by artificial intelligence. Carmakers from San Francisco to Boston are jousting to deliver driverless cars. In Norway a crewless cargo ship carries fertilizer from port to port. On the land, sea and in the air, we face the coming of such autonomous platforms—some envisioned to benefit humanity, and others meant for destruction—available to everyone, to governments, businesses and criminals.

I found this on NewsBreak: Exclusive: Inflection AI reveals new team and plan to embed emotional AI in business bots.

Innovation For A Sustainable Global Energy Transformation — Dr. Roland Roesch, Ph.D. — Director, Innovation and Technology Centre, International Renewable Energy Agency (IRENA)

Dr. Roland Roesch, Ph.D. is Director, Innovation and Technology Centre (IITC), of the International Renewable Energy Agency (IRENA — https://www.irena.org/) where he oversees the Agency’s work on advising member countries in the area of technology status and roadmaps, energy planning, cost and markets and innovation policy frameworks.

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Here’s a nice article discussing the progress of the brain-computer interface industry, some existing startups in the space, and where the industry may go in the future.

Fifty years after the term brain–computer interface was coined, the neurotechnology is being pursued by an array of start-up companies using a variety of different technologies. But the path to clinical and commercial success remains uncertain.

These businesses are building tech that could exceed the abilities of today’s AI.

The field of artificial intelligence is still in its early years, yet several businesses are already working on technology that can become the foundation for AI’s future. These companies are developing quantum computing systems capable of processing mountains of data in seconds, which would take decades for a conventional computer.

Quantum machines can execute multiple computations simultaneously, accelerating processing time, while typical computers must process data in a linear fashion. This means quantum systems can evolve AI beyond the abilities of the most powerful supercomputers, enabling AI to drive cars and help find cures to diseases.

Earlier this month, Reddit published a Public Content Policy stating: Unfortunately, we see more and more commercial entities using unauthorized access or misusing authorized access to collect public data in bulk, including Reddit public content. Worse, these entities perceive they have no limitation on their usage of that data, and they do so with no regard for user rights or privacy, ignoring reasonable legal, safety, and user removal requests.

In its blog post on Thursday, Reddit said that deals like OpenAI’s are part of an open Internet. It added that part of being open means Reddit content needs to be accessible to those fostering human learning and researching ways to build community, belonging, and empowerment online.

Reddit has been vocal about its interest in pursuing data licensing deals as a core part of its business. Its building of AI partnerships sparks discourse around the use of user-generated content to fuel AI models without users being compensated and some potentially not considering that their social media posts would be used this way. OpenAI and Stack Overflow faced pushback earlier this month when integrating Stack Overflow content with ChatGPT. Some of Stack Overflow’s user community responded by sabotaging their own posts.

It’s unclear what customers or applications might be earmarked for this node, but it’s possible it could be dedicated to IoT and other consumer devices that need to sip power. Typically, these applications use legacy nodes as it would be too expensive to use advanced processes for inexpensive devices, but TSMC is planning for the future since this effort won’t be realized until 2029 or so.

TSMC’s Dr. Kevin Zhang, senior vice president of business development and overseas Operations, says the company has already started building Greenfield, but he didn’t indicate where it’s located. He says the rapid deployment of the Greenfield fab is the first time the company has essentially skipped what we assume is a lengthy review process and put shovels in dirt already.

According to Zhang, TSMC’s move is part of its larger effort to build some resiliency into its global supply chain. That resiliency will be achieved both by building fabs outside of Taiwan and increasing capacity for nodes it thinks will be in demand in the future. Anandtech notes the company’s most advanced low-power node is currently N6e, which is a 6nm/7nm node that uses between 0.4V and 0.9V. For N4e, the company is reportedly looking to drop that all the way down to 0.4V, but it didn’t offer any additional details about its performance or attributes at the symposium.

The founders of Perelel, which sells prenatal vitamins, say charitable giving is baked into their business model. Today they’re making good on that promise.