It is the first Reinforcement Learning (RL) agent based on the world model to attain human-level success on the Atari benchmark. It includes the second generation of the Dreamer agent who learns behaviors entirely within a world model’s latent space […]
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As the demand for energy-efficient, sustainable and smart technology is rapidly increasing, IBM has developed a new technology, considered the world’s first energy-efficient chips for AI inference and training. The chip is built with 7-nanometer technology. A team of researchers proposed a hardware accelerator that supports a range of model types that can achieve leading power efficiency on […]
Read MoreA recent study conducted jointly by the Georgia Institute and Facebook AI researchers has opened the door to a new method called TT-Rec (Tensor-Train for DLRM). If employed successfully, this method would be a leap forward in the arena of deep learning as it will significantly reduce the size of the Deep Learning Recommendation Models […]
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Immunai is a biotech company using machine learning algorithms that combine single-cell genomics to empower the human immune system’s high-resolution profiling. Based out of New York, this company was established merely three years ago, but it is growing at a breakneck pace with the largest dataset in the world for single-cell immunity characteristics.
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Allen Institute for AI (AI2) has recently announced the 2.7.0 release of AI2-THOR. AI2-THOR is an open-source interactive environment for training and testing embodied AI. The 2.7.0 version of AI2-THOR contains several performance enhancements that can provide dramatic training time reductions. The new version introduces improvements to the IPC system between Unity/Python and serialization/deserialization format. It includes new actions that are much better to control the metadata.
Read MoreNumenta has made some advances by applying a principle of the brain called sparsity. It compared sparse networks and dense networks by running its algorithms on Xilinx FPGAs (Field Programmable Gate Array) for a speech recognition task that used the Google Speech Commands (GSC) dataset.
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Embold is a simple but efficient AI-based static code analyzer that can help developers analyze and improve their code. The feature that truly makes it stand apart is its ability to analyze source code across four dimensions: code issues, design issues, metrics and duplication, and surface issues that impact stability, robustness, security, and maintainability.
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Cato Networks Ltd. has recently introduced a machine learning system that combines threat intelligence and real-time network information, eliminating the false positive (FP) alerts, thereby reducing the cybersecurity team’s work.
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Intel has confirmed that it is buying SigOpt Inc., an artificial intelligence startup developing software platforms to optimize AI models. Several private firms and research groups such as OpenAI use these software platforms to boost their AI models’ performance.
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Microsoft has released Lobe, a free desktop application that lets Windows and Mac users create customized AI models without writing any code. Several customers are already using the app for tracking tourist activity around coral reefs, the company said.
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Cochlear.ai, a startup that is working towards developing a software that can identify any sort of sound, recently announced to have raised $2 million in a Series A funding round.
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A new AI from Microsoft aims to automatically caption images in documents and emails so that software for visual impairments can read it out. Researchers from Microsoft explained their machine learning model in a paper on preprint repository arXiv. The model uses VIsual VOcabulary pre-training (VIVO) which leverages large amounts of paired image-tag data to…
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Google comes up with a refresh of Google Analytics (i.e., Google Analytics 4) with new machine learning prediction features, including extra privacy controls and a streamlined interface.
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Do you often forget things when you don’t write it down? Some unique ideas and thoughts? Some of the acquaintance’s names? Most people can’t remember what they said 30 seconds ago.
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Tonal, an AI home fitness startup, recently raised $110 million. This amount brings the company’s total funding up to $200 million.
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Nvidia is already putting its $40 billion ARM acquisition to good use by opening a “world-class” AI centre in Cambridge. British chip designer ARM’s technology is at the heart of most mobile devices. Meanwhile, Nvidia’s GPUs are increasingly being used for AI computation in servers, desktops, and even things like self-driving vehicles.
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A budget proposal from the White House would boost funding for AI by around 30 percent as the US aims to retain its technological supremacy. Countries around the world are vastly increasing their budgets for AI, and with good reason. Just look at Gartner’s Hype Cycle released yesterday to see how important the technology is…
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