Cuneflow's e-paper writing tablet uses AI to record and transcribe meetings Cuneflow's e-paper writing tablet uses AI to record and transcribe meetings It's designed to automate the busywork of business. I recently reviewed reMarkable's Paper Pure, an e-paper writing tablet designed to be used in business meetings. The company markets itself as an almost analog space to think, pushing against the use of AI and the distractions of the digital age. Think of Cuneflow, then, as a rebuke of that philosophy, as its namesake e-paper writing slate has a built-in voice recorder to transcribe and extract insights from those very same business meetings. Is that a big enough draw for you to plonk down your money when it launches on Kickstarter?

We study the problem of off-policy evaluation from batched contextual bandit data with multidimensional actions, often termed slates. The problem is common to recommender systems and user-interface optimization, and it is particularly challenging because of the combinatorially-sized action space. Swaminathan et al. (2017) have proposed the pseudoinverse (PI) estimator under the assumption that the conditional mean rewards are additive in actions. Using control variates, we consider a large class of unbiased estimators that includes as specific cases the PI estimator and (asymptotically) its self-normalized variant. By optimizing over this class, we obtain new estimators with risk improvement guarantees over both the PI and the self-normalized PI estimators.

Fully connected Graph Transformers (GT) have rapidly become prominent in the static graph community as an alternative to Message-Passing models, which suffer from a lack of expressivity, oversquashing, and under-reaching.However, in a dynamic context, by interconnecting all nodes at multiple snapshots with self-attention,GT loose both structural and temporal information. In this work, we introduce Supra-LAplacian encoding for spatio-temporal TransformErs (SLATE), a new spatio-temporal encoding to leverage the GT architecture while keeping spatio-temporal information.Specifically, we transform Discrete Time Dynamic Graphs into multi-layer graphs and take advantage of the spectral properties of their associated supra-Laplacian matrix.Our second contribution explicitly model nodes' pairwise relationships with a cross-attention mechanism, providing an accurate edge representation for dynamic link prediction.SLATE outperforms numerous state-of-the-art methods based on Message-Passing Graph Neural Networks combined with recurrent models (e.g, LSTM), and Dynamic Graph Transformers,on~9 datasets. Code is open-source and available at this link https://github.com/ykrmm/SLATE.

That move may have warded off the lawyers, but it didn't slide past Olympic viewers. Disgusted reactions ensued immediately after Mrázková and Mrázek took the ice and NBC's announcers pointed out that, while half of their choreography was set to AC/DC's "Thunderstruck," the other half had been soundtracked by A.I. The ISU's own documentation identifies the track as something called "One Two," created by an A.I. prompted to come up with something resembling "90s style Bon Jovi."

The Industry OpenAI Is Losing the Big Tech Race. The Super Bowl Ads Made That Clear. If Sam Altman is annoyed at Anthropic's commercials, he has only himself to blame. Enter your email to receive alerts for this author. You can manage your newsletter subscriptions at any time.

GTs directly connect nodes, using the graph structure asasoft bias through positionalencoding[37].

With celebrity endorsements from the likes of MrBeast and Marshawn Lynch, bots are taking center stage during the big game--and it's a sign of bleak times ahead. Enter your email to receive alerts for this author. You can manage your newsletter subscriptions at any time. You're already subscribed to the aa_Nitish_Pahwa newsletter. You can manage your newsletter subscriptions at any time.