Researchers at the Max-Planck-Institute (MPL) proposed a novel way to entangle optical photons with phonons.
Unveiling faster and smarter reasoning in AI:*
Researchers have introduced a breakthrough in AI reasoning, specifically for Large Language Models (LLMs), with a method called*.
Continue reading “Interpretable Contrastive Monte Carlo Tree Search Reasoning” »
Letting AI systems argue with each other may help expose when a large language model has made mistakes.
The AI was forced to watch millions of hours of Minecraft footage, like a parent of any 8-year-old.
Former COO at Paypal, David Sacks says that OpenAI recently gave investors a product roadmap update and said their AI models will soon be at PHD level reasoning, act as agents to use tools, meaning the model will be able to pretend to be a human. — - — 👉Get FREE access to the latest AI startup stories! Link in bio. — - — #todayinai #openai #largelanguagemodels
22K likes, — thevarunmayya on October 25, 2024: ‘Ever wondered why robotics companies make humanoid bots that resemble us?’
Jensen Huang says that a trillion dollars is being spent on data centers to enable the next, biggest wave of AI to revolutionize business productivity. — - — 👉 Before you go 👋 If you want to keep up with the latest news on AI startups and how they’re changing the world, join 1000+ subscribers reading our newsletter for FREE! Link in bio. — - — #jensenhuang #nvidia #datacenter #datacenters #aidata #artificialintelligence #aitakeover #todayinai
Over the past few months, I was asked multiple times by Staff of the House Committee on Oversight and Accountability whether I am available to testify before the U.S. Congress on Unidentified Anomalous Phenomena (UAPs). As a result, I cleared my calendar for November 13, 2024 and prepared the following written statement. At the end, I was not called to testify before Congress and so I am posting below my intended statement. The Galileo Project under my leadership is about to release this week unprecedented results from commissioning data of its unique Observatory at Harvard University. Half a million objects were monitored on the sky and their appearance was analyzed by state-of-the-art machine learning algorithms. Are any of them UAPs and if so — what are their flight characteristics? Unfortunately, the congressional hearing chairs chose not to hear about these scientific results, nor about the scientific findings from our ocean expedition to the site of the first reported meteor from interstellar space.
Stay tuned for the first extensive paper on the commissioning data from the first Galileo Project Observatory, to be posted publicly in the coming days. Here is my public statement.
Modern imaging systems, such as those used in smartphones, virtual reality (VR), and augmented reality (AR) devices, are constantly evolving to become more compact, efficient, and high-performing. Traditional optical systems rely on bulky glass lenses, which have limitations like chromatic aberrations, low efficiency at multiple wavelengths, and large physical sizes. These drawbacks present challenges when designing smaller, lighter systems that still produce high-quality images.
Readers are unable to reliably differentiate AI-generated from human-written poetry and are more likely to prefer AI poems, according to new research published in Scientific Reports. This tendency to rate AI poetry positively may be due to readers mistaking the complexity of human-written verse for incoherence created by AI and an underestimation of how human-like generative AI can appear.
