Lifeboat Foundation

Nvidia’s market cap has swelled to $1.7 trillion, the same as every Chinese stock listed in Hong Kong combined.

Cybercriminals are selling custom Raspberry Pi software called ‘GEOBOX’ on Telegram, which allows inexperienced hackers to convert the mini-computers into anonymous cyberattack tools.

GEOBOX is sold on Telegram channels for a subscription of $80 per month or $700 for a lifetime license, payable in cryptocurrency.

Analysts at Resecurity discovered the tool during an investigation into a high-profile banking theft impacting a Fortune 100 company.

Qualcomm, Intel, and Google have reportedly formed a new “strategic” coalition in an attempt to dethrone NVIDIA from the AI markets.

It Takes Not One But Three Big Tech Companies Such as Qualcomm, Intel & Google, To Have A Chance To Dethrone NVIDIA’s CUDA Supremacy In AI

Now, this does sound interesting, and it is probably a development to watch out for since we haven’t seen such a massive collaboration among companies to target a single entity. NVIDIA’s dominance in the AI market has shocked competitors to a vast extent since such financial growth and adoption weren’t seen previously. NVIDIA has gobbled up the bulk of the share of AI in tech industry, leaving no space for competitors to fill in, and this has troubled many of the firms who have now formulated a united front against NVIDIA.

The dangers of AI farming.

AI could lead to new ways for people to abuse animals for financial gain. That’s why we need strong ethical guidelines.

Virginie Simoneau-Gilbert & Jonathan Birch.

Probabilistic computing with stochastic devices.

In recent decades, artificial intelligence has been successively employed in the fields of finance, commerce, and other industries. However, imitating high-level brain functions, such as imagination and inference, pose several challenges as they are relevant to a particular type of noise in a biological neuron network. Probabilistic computing algorithms based on restricted Boltzmann machine and Bayesian inference that use silicon electronics have progressed significantly in terms of mimicking probabilistic inference. However, the quasi-random noise generated from additional circuits or algorithms presents a major challenge for silicon electronics to realize the true stochasticity of biological neuron systems. Artificial neurons based on emerging devices, such as memristors and ferroelectric field-effect transistors with inherent stochasticity can produce uncertain non-linear output spikes, which may be the key to make machine learning closer to the human brain. In this article, we present a comprehensive review of the recent advances in the emerging stochastic artificial neurons (SANs) in terms of probabilistic computing. We briefly introduce the biological neurons, neuron models, and silicon neurons before presenting the detailed working mechanisms of various SANs. Finally, the merits and demerits of silicon-based and emerging neurons are discussed, and the outlook for SANs is presented.

Keywords: brain-inspired computing, artificial neurons, stochastic neurons, memristive devices, stochastic electronics.

Continue reading “Emerging Artificial Neuron Devices for Probabilistic Computing” »

This apparent paradox has a simple yet surprising explanation, according to Meredith Whitney: Employers are finally exacting revenge on remote workers who’ve secretly had a second job.

The veteran researcher, who became known as the “Oracle of Wall Street” for her early warnings about banks before the financial crisis, is no stranger to thinking outside the box about everything from the housing market to the economy, and this theory is no exception.

But there’s evidence to support Whitney’s thesis that many of the job cuts made have been to remote positions that were filled by people working at multiple companies under the radar.

Bloomberg connects decision makers to a dynamic network of data, delivering business and financial information, news and insights globally.

A universal basic income pilot program that would sprinkle $100 million across the state in the form of no less than $500 monthly cash payments to certain low-income Minnesotans — including illegal immigrants — advanced in a state House committee on Tuesday.

Rep. Athena Hollins, DFL-St. Paul, introduced HF2666 last year. The bill didn’t receive a hearing amidst a historic legislative session where Democrats spent down a $17.5 billion surplus and increased the state budget by more than 38 percent. But with news earlier this month that the state has a projected $3.7 billion surplus, Hollins’ bill received a hearing in the House Children and Families Committee.

Continue reading “$100M universal basic income bill advances in state House committee” »

Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to health care. But these networks remain a black box whose inner workings engineers and scientists struggle to understand.