Lifeboat Foundation

At a time when other AI assistants and chatbots are also beefing up their own voice interaction capabilities — as OpenAI just did with ChatGPT — Hume AI may have just set a new standard in mind-blowing human-like interactivity, intonation, and speaking qualities.

One obvious potential customer, rival, or would-be acquirer that comes to mind in this case is Amazon, which remains many people’s preferred voice assistant provider through Alexa, but which has since de-emphasized its voice offerings internally and stated it would reduce headcount on that division.

Continue reading “Is AI’s next big leap understanding emotion? $50M for Hume says yes” »

Denoising Diffusion Probabilistic Models by J. Ho et. al.

These two chips might be the key to developing sophisticated brain-computer interfacing.

Scientists from the University of Electronic Science and Technology of China claim to have developed the world’s most energy-efficient artificial intelligence AI microchips that are small enough to fit inside smart devices and could open doors for innovative offline functions like voice and even mind control.

Generally, AI chips that are designed for heavy tasks often require significant power because of high computational demands, which limits their use in real-world scenarios. Professor Zhou Jun and his team managed to significantly reduce power consumption through algorithm and architectural optimization.

Columbia engineers build Emo, a silicon-clad robotic face that makes eye contact and uses two AI models to anticipate and replicate a person’s smile before the person actually smiles — a major advance in robots predicting human facial expressions accurately, improving interactions, and building trust between humans and robots.

Tesla is working on “private 5G” infrastructure to be connected to its electric vehicles and Optimus robot.

The automaker was early in including internet connectivity in all its vehicles. There were many reasons for this. It enabled over-the-air software updates and connectivity features, and it also allowed Tesla to collect a lot of data.

Tesla started with 3G connectivity and later updated to 4G LTE, but now, we learn that the automaker is looking to upgrade to 5G.

In a new study, AI processed text from health histories and neurologic examinations to locate lesions in the brain. The study, which looked specifically at the large language model called generative pre-trained transformer 4 (GPT-4), is published in the online issue of Neurology Clinical Practice.

A stroke can cause long-term disability or even death. Knowing where a stroke has occurred in the brain helps predict long-term effects such as problems with speech and language or a person’s ability to move part of their body. It can also help determine the best treatment and a person’s overall prognosis.

Damage to the brain tissue from a stroke is called a lesion. A neurologic exam can help locate lesions, when paired with a review of a person’s health history. The exam involves symptom evaluation and thinking and memory tests. People with stroke often have brain scans to locate lesions.

@OpenAI #sora #sorai #openai #openaisora

Mr. Xia further noted the expanding utility of unmanned technologies across various domains, including aerial, maritime, underwater, and terrestrial operations, underscoring their revolutionary impact on future military engagements.

“A drone costing just a few thousand dollars can effectively neutralize an advanced tank worth over 5 million dollars,” Mr. Xia said, illustrating a remarkable disparity in warfare economics.

Drones’ ease of manufacture, low detection and radar interception rates, and precision targeting via satellite data further accentuate their tactical viability. Importantly, drones facilitate offensive operations without compromising soldier safety, marking a significant evolution in how military objectives are pursued.

University of Michigan, the University of Wisconsin-Madison, and MIT are among the universities cited in the House Judiciary Committee and the Select Subcommittee on the Weaponization of the Federal Government interim report.

It details the foundation’s “funding of AI-powered censorship and propaganda tools, and its repeated efforts to hide its actions and avoid political and media scrutiny.”

“NSF has been issuing multi-million-dollar grants to university and non-profit research teams” for the purpose of developing AI-powered technologies “that can be used by governments and Big Tech to shape public opinion by restricting certain viewpoints or promoting others,” states the report, released last month.