Lifeboat Foundation

Nov 20 (Reuters) — Following a surprise ouster, OpenAI co-founder and former CEO Sam Altman joined Microsoft (MSFT.O) as the head of artificial intelligence research along with the ChatGPT maker’s former President Greg Brockman and other staff.

The developments come less than a year after OpenAI kicked off the generative AI frenzy with the launch of viral chatbot ChatGPT and bagged Microsoft as an investor, among other big names.

The shakeup is not the first at OpenAI, which was launched in 2015. Tesla CEO Elon Musk, a co-founder of the non-profit, was once its co-chair, and in 2020 other executives departed, going on to found competitor Anthropic, which claims to have a greater focus on AI safety.

As part of pioneering the security of satellite communication in space, NASA is funding a groundbreaking project at the University of Miami’s Frost Institute for Data Science and Computing (IDSC) which will enable augmenting traditional large satellites with nanosatellites or constellations of nanosatellites.

These nanosatellites are designed to accomplish diverse goals, ranging from communication and weather prediction to Earth science research and observational data gathering. Technical innovation is a hallmark of NASA, a global leader in the development of novel technologies that enable US space missions and translate to a wide variety of applications from Space and Earth science to consumer goods and to national and homeland security.

With advances in satellite technology and reduced cost of deployment and operation, nanosatellites also come with significant challenges for the protection of their communication networks. Specifically, small satellites are owned and operated by a wide variety of public and private sector organizations, expanding the attack surface for cyber exploitation. The scenario is similar to Wi-Fi network vulnerabilities. These systems provide an opportunity for adversaries to threaten national security as well as raise economic concerns for satellite companies, operators, and users.

Investors raced to reinstate Altman after the OpenAI board fired him Friday. But Elon Musk says for AI safety reasons the true reason for the firing must be revealed.

Cambridge scientists have shown that placing physical constraints on an artificially-intelligent system—in much the same way that the human brain has to develop and operate within physical and biological constraints—allows it to develop features of the brains of complex organisms in order to solve tasks.

As neural systems such as the brain organize themselves and make connections, they have to balance competing demands. For example, energy and resources are needed to grow and sustain the network in physical space, while at the same time optimizing the network for information processing. This trade-off shapes all brains within and across species, which may help explain why many brains converge on similar organizational solutions.

Jascha Achterberg, a Gates Scholar from the Medical Research Council Cognition and Brain Sciences Unit (MRC CBSU) at the University of Cambridge said, “Not only is the brain great at solving complex problems, it does so while using very little energy. In our new work we show that considering the brain’s problem-solving abilities alongside its goal of spending as few resources as possible can help us understand why brains look like they do.”

Marcus says he feels “sick to his stomach” as the OpenAI board—ostensibly in control with an eye on the nonprofit mission—appears to get overpowered.

A fundamental question in neuroscience is what are the constraints that shape the structural and functional organization of the brain. By bringing biological cost constraints into the optimization process of artificial neural networks, Achterberg, Akarca and colleagues uncover the joint principle underlying a large set of neuroscientific findings.

Artificial Intelligence.

Thought Is the New Currency.

Unearthing extraordinary riches from our “cognitive cache” through AI.

Investors are always looking for the next great breakthrough in technology. As computers are indispensable tools for managing everything from finance to healthcare and smart cities, it only makes sense to look at the next stage of development and A-rated quantum computing stocks.

Quantum computing is still in its early stages, but companies are already making inroads. Zapata surveyed executives at 300 companies with revenues of $250 million and computing budgets over $1 million. Of those, over two-thirds spent more than $1 million annually to develop quantum computing applications.

Quantum computer stocks represent companies trying to revolutionize cryptography, optimization, drug discovery and artificial intelligence. It holds promise for solving complex problems currently infeasible for classical computers due to their exponential time requirements.

In Pennsylvania and elsewhere, A.I. is being applied to the nation’s aging infrastructure. Is that wise?