AI Insights Hub
Stay Informed with the Latest AI News and Trends in the ChatGPT Plugin Ecosystem
- Meta’s Next Llama AI Models Are Training on a GPU Cluster ‘Bigger Than Anything’ Else
The race for better generative AI is also a race for more computing power. On that score, according to CEO Mark Zuckerberg, Meta appears to be winning.
- OpenAI expands Realtime API with new voices and cuts prices for developers
OpenAI's voice assistant API offers five new, more natural voices and discounted prices in the newest update.
- Microsoft sails as AI boom fuels double-digit growth in cloud business
Revenue from Azure cloud business increased by 22% as company focuses attention on artificial intelligenceMicrosoft reported better-than-expected earnings on Wednesday fueled by growth in its Azure cloud business, as five of the “Magnificent Seven” tech megacaps roll out quarterly earnings this week.“AI-driven transformation is changing work, work artifacts, and workflow across every role, function, and business process,” the company’s CEO, Satya Nadella, said in a press release. On an earnings call, Nadella said Microsoft’s AI business was “on track to surpass an annual run-rate of $10bn next quarter, which will make it the fastest growing business in our history to reach this milestone”. Continue reading...
- Pika 1.5 updates with three new Halloween-themed video AI Pikaffects
The three new Pikaffects in time for Halloween are levitate, eye pop, and decapitate — all of which do what they sound like.
- How can you tell if text is AI-generated? Researchers have figured out a new method
Have you ever looked at a piece of writing and thought something might be "off"? It might be hard to pinpoint exactly what it is. There might be too many adjectives or the sentence structure might be overly repetitious. It might get you thinking, "Did a human write this or was it generated by artificial intelligence?"
- Researcher finds AI could help improve city planning
Traditional city planning methods require significant technical expertise and manual work. A Virginia Tech researcher is working to change that.
- Ultra-low power neuromorphic hardware show promise for energy-efficient AI computation
A team including researchers from Seoul National University College of Engineering has developed neuromorphic hardware capable of performing artificial intelligence (AI) computations with ultra-low power consumption. The research, published in the journal Nature Nanotechnology, addresses fundamental issues in existing intelligent semiconductor materials and devices while demonstrating potential for array-level technology.
- Google’s AI system could change the way we write: InkSight turns handwritten notes digital
Google's InkSight AI transforms handwritten notes into digital text while preserving personal writing style, bridging traditional note-taking with digital efficiency across multiple languages and complex documents.
- Elon Musk’s Criticism of ‘Woke AI’ Suggests ChatGPT Could Be a Trump Administration Target
If you think the United States is politically divided now, just wait for the AI culture wars.
- Putting the ghost in the machine—team uses zero shot prompting method to get design solutions
A work environment that supports diverse problem solvers is a nonnegotiable for successful design teams. Chris McComb, expert on human-AI teaming, and his team of researchers are bridging the cognitive gaps between members of a team by incorporating cognitive styles into large language models, empowering teams to more easily harness individuals' unique strengths.
- AI generates missing parts of temperature distribution
Before engineers at Carnegie Mellon University begin conducting additive manufacturing (AM) experiments in two dedicated labs that are equipped with an impressive range of 3D printing equipment, they often times rely on the power of artificial intelligence to develop models that can be used to monitor and control the build process. Among the many models they are currently developing and testing is one that can precisely monitor and control temperature.
- Machine learning method for early fault detection could make lithium-ion batteries safer
The safe use of lithium-ion batteries, such as those used in electric vehicles and stationary energy storage systems, critically depends on condition monitoring and early fault detection. Failures in individual battery cells can lead to serious issues, including fires.