Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.
Some investors are raising warnings about the amount of money flowing into direct-air-capture companies, given the high costs and limited markets.
There’s a looming problem in the carbon removal space.
Over the past couple of years, Nvidia, by far the largest AI chipmaker, has ramped up its investments in startups that propel it deeper into the AI space.
Nvidia isn’t the only AI chipmaker investing in startups. Its rivals — Intel, AMD and Arm — are too. Here’s to what extent.
Ever since these models appeared, researchers and philosophers have debated whether they are complex ‘stochastic parrots’ or whether they are indeed capable of understanding and will eventually be smarter than us.
With an emphasis on AI-first strategy and improving Google Cloud databases’ capability to support GenAI applications, Google announced developments in the integration of generative AI with databases.
AWS offers a broad range of services for vector database requirements, including Amazon OpenSearch Service, Amazon Aurora PostgreSQL-Compatible Edition, Amazon RDS for PostgreSQL, Amazon Neptune ML, and Amazon MemoryDB for Redis. AWS emphasizes the operationalization of embedding models, making application development more productive through features like data management, fault tolerance, and critical security features. AWS’s strategy focuses on simplifying the scaling and operationalization of AI-powered applications, providing developers with the tools to innovate and create unique experiences powered by vector search.
Azure takes a similar approach by offering vector database extensions to existing databases. This strategy aims to avoid the extra cost and complexity of moving data to a separate database, keeping vector embeddings and original data together for better data consistency, scale, and performance. Azure Cosmos DB and Azure PostgreSQL Server are positioned as services that support these vector database extensions. Azure’s approach emphasizes the integration of vector search capabilities directly alongside other application data, providing a seamless experience for developers.
Google’s move towards native support for vector storage in existing databases simplifies building enterprise GenAI applications relying on data stored in the cloud. The integration with LangChain is a smart move, enabling developers to instantly take advantage of the new capabilities.
The new semiconductor is expected to have some important applications in things like transportation and security systems in both industry and the public.
Korean researchers have developed a new “intelligent sensor” semiconductor that works similarly to the optic nerves of insects.
A team of researchers from Korea have developed an insect brain-inspired semiconductor that can be used as a fast, low power motion detector.
Say cheese, get gold.
Many electronic devices, such as smartphones, computers, and televisions, contain small amounts of gold in components like connectors, circuit boards, and integrated circuits, but they are usually considered electronic waste.
Uncover the innovative use of whey protein to extract gold from electronic waste. A sustainable and efficient solution for reducing e-waste.
Researchers from China used different spectra of light to maximize data transmission in various modes and setting up interoperability between them.
A new light-based communication network developed through a research collaboration between Nanjing University of Posts and Telecommunications and Suzhou Lighting Chip Monolithic Optoelectronics Technology company in China makes seamless connectivity on land, in the sea, and in the air a reality.
While urban landscapes may enjoy the advantages of wireless 5G internet, many pockets worldwide still need broadband. Even as Elon Musk wants to make space-based ultra-fast internet connections the norm, the services cannot be delivered for undersea activities where research and exploration demand them.
Enhancing quantum features compensates for environmental losses, amplifying particle interactions, achieving entanglement at higher scales.
One of the oldest topics of contemporary science is where to draw the line between classical and quantum physics.
Abstract
The ability to engineer cavity-mediated interactions has emerged as a powerful tool for the generation of non-local correlations and the investigation of non-equilibrium phenomena in many-body systems. Levitated optomechanical systems have recently entered the multi-particle regime, with promise for using arrays of massive strongly coupled oscillators for exploring complex interacting systems and sensing. Here, by combining advances in multi-particle optical levitation and cavity-based quantum control, we demonstrate, for the first time, programmable cavity-mediated interactions between nanoparticles in a vacuum. The interaction is mediated by photons scattered by spatially separated particles in a cavity, resulting in strong coupling (Gzz/Ωz = 0.238 ± 0.005) that does not decay with distance within the cavity mode volume. We investigate the scaling of the interaction strength with cavity detuning and inter-particle separation and demonstrate the tunability of interactions between different mechanical modes. Our work paves the way towards exploring many-body effects in nanoparticle arrays with programmable cavity-mediated interactions, generating entanglement of motion, and using interacting particle arrays for optomechanical sensing.
Punyo is a soft robot designed to improve whole-body manipulation research by employing its arms and chest.
Toyota seems to be diving into more than just cars.
Toyota developed Punyo, a soft robot with capabilities that amplify, rather than replace people, helps lift heavy objects or move furniture.