MediaWiki API result

{
    "batchcomplete": "",
    "query": {
        "searchinfo": {
            "totalhits": 7
        },
        "search": [
            {
                "ns": 0,
                "title": "Bateryless Heart Rate Monitoring",
                "snippet": "...is provides the foundation to build devices which are energy-proportional, <span class='searchmatch'>meaning</span> that their performance is completely energy-driven. One novel application o\n",
                "size": 3181,
                "wordcount": 413,
                "timestamp": "2016-01-28T13:21:11Z"
            },
            {
                "ns": 0,
                "title": "Probabilistic training algorithms for quantized neural networks",
                "snippet": "In contrast, the parameters of QNNs live in discrete spaces, where the <span class='searchmatch'>meaning</span> of gradient-based rules is less clear.\n",
                "size": 4315,
                "wordcount": 596,
                "timestamp": "2024-02-15T12:06:47Z"
            },
            {
                "ns": 0,
                "title": "Precise Ultra-low-power Timer",
                "snippet": "...specially for on-chip timers, they have to have high frequency accuracies, <span class='searchmatch'>meaning</span> that they need to be insensitive to PVT variations and they have to have lo\n",
                "size": 1446,
                "wordcount": 195,
                "timestamp": "2022-12-16T16:04:32Z"
            },
            {
                "ns": 0,
                "title": "Unconventional phase change memory device concepts for in-memory and neuromorphic computin",
                "snippet": "...ically separated processing and memory units, the brain computes in-place; <span class='searchmatch'>meaning</span> the same element that stores data, also computes. This makes processing ext\n",
                "size": 4001,
                "wordcount": 546,
                "timestamp": "2021-07-23T11:07:39Z"
            },
            {
                "ns": 0,
                "title": "EEG artifact detection with machine learning",
                "snippet": "...1] labeled with multiple artifact types. The data is labeled channel-wise, <span class='searchmatch'>meaning</span> that from the dataset, three sub-dataset can be extracted.\n",
                "size": 4211,
                "wordcount": 561,
                "timestamp": "2023-10-23T13:25:35Z"
            },
            {
                "ns": 0,
                "title": "Enhancing our DMA Engine with Vector Processing Capabilities (1-2S/B)",
                "snippet": "...nally to these area requirements, vector processors are register machines, <span class='searchmatch'>meaning</span> they have to load (and later store) data into their internal register file \n",
                "size": 2829,
                "wordcount": 384,
                "timestamp": "2022-06-21T10:13:12Z"
            },
            {
                "ns": 0,
                "title": "On - Device Continual Learning for Seizure Detection on GAP9",
                "snippet": "...on. While doing so, the proposed system must adhere to TinyML constraints, <span class='searchmatch'>meaning</span> that the adaptation process must be computationally efficient, and memory a\n",
                "size": 9053,
                "wordcount": 1326,
                "timestamp": "2023-10-12T09:16:52Z"
            }
        ]
    }
}