Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.
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Gen X investors: how to shield your portfolio from an AI bubble
Gen X investors are watching the artificial intelligence boom reshape markets at the exact moment their own timelines are ...
Clustering algorithms, a fundamental subset of unsupervised learning techniques, strive to partition complex datasets into groups of similar elements without prior labels. These methods are pivotal in ...
Automation isn’t new to accounting. From cloud-based general ledgers to optical character recognition for receipt management, firms have chipped away at automating manual work year after year. But ...
Distinguished delegates, colleagues and friends, Writers and futurists have long echoed Alvin and Heidi Toffler’s idea that “the future arrives too fast…and in the wrong order.” Today, we know, the ...
Burry argues that hyperscalers use depreciation periods for their servers and network gear that are too long, which artificially inflates their reported earnings. If depreciation rates accelerate, ...
When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.
Hassabis was replying on X to an overexcited post by Sébastien Bubeck, a research scientist at the rival firm OpenAI, ...
DeepSeek-R1 is a new Ai model from a Chinese company that claims to have created the model for just $5.6 million, a fraction of the $100 million OpenAI spent creating their o1 AI model. This comes at ...
Media personalities and online influencers who sow social division for a living, blame the rise of assassination culture on Antifa and MAGA. Meanwhile, tech CEOs gin up fears of an AI apocalypse. But ...
Building an artificial intelligence (AI) portfolio means looking beyond the obvious megacap names. Artificial intelligence (AI) isn't a passing trend -- it's the defining technological shift of our ...
Leadership used to be evaluated by looking backward at what someone delivered in the past. Companies assumed that the person who produced results last year would do it again. But with the pace of ...
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