Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home Trending Now Mashable Selects Say More Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook In My Bag AI at School Safety Net All Series Apple's got a kitchen gadget? From countertop smart displays to refreshed HomePods, Apple is preparing a major home overhaul. Here is what to expect. The surprises we expect and want from Apple's surprise and shine event 6:47 Josh Johnson calls his mom during his'Last Meal' on'Mythical Kitchen' Apple has a'Welcome Home' event on Tuesday, and we're expecting big changes coming to smart home products, including a new countertop Hub, HomePod mini speakers and Apple TV 4K box. Bridget Carey breaks down the rumors and what has her excited.

Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home Trending Now Mashable Selects Say More Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook In My Bag AI at School Safety Net All Series When it comes to election advice, maybe AI isn't so bad after all? This political junkie was pleasantly surprised by AI's election-related usefulness. When I read on NPR this week that people are turning to ChatGPT to tell them how to vote, I shook my head. Here we go again, I thought: another search for the easy way out. Voting is too serious of a right to turn over the thought process to AI.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home Look Up Trending Now Mashable Selects Say More Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook In My Bag AI at School Safety Net All Series Jimmy Kimmel calls out Fox's reaction to a'joke' from him versus one from Trump I'm going to report him to the FCC. Sam Haysom is the General Assignment Editor, UK, for Mashable. He covers entertainment and online culture, and writes horror fiction in his spare time. Rosie O'Donnell calls out'Mango Mussolini' Trump on'Kimmel' 'Kimmel' guest host Ike Barinholtz examines Trump's reaction to Lindsey Graham's death Jimmy Kimmel recaps Trump's summer with a montage of the weirdest things he's said Trump recently made a comment about LA and San Francisco that sparked backlash followed by a swift defence from the White House and Fox News, all of which has Jimmy Kimmel questioning the network's reaction to what it classifies as a joke. It's a small price to pay for keeping the world safe, keeping our country safe, Trump said about the Iran conflict during a rally.

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In the spring of 2022, Google began reaching out to a series of writers, including award-winning science-fiction authors and New York Times bestsellers, for feedback on an experimental writing tool. Four years later, their participation has corners of the literary world up in arms. Google researchers knew at the time that they were approaching a breakthrough point with large language models (LLMs). DeepMind, the company's AI division, was internally testing a natural language generation model called LaMDA which had demonstrated emergent writing capabilities. That model would eventually form the basis for Google Gemini.

OpenAI says one of its most advanced models broke containment during a security test, escaping onto the internet and attacking New York-based startup Hugging Face. Now Hugging Face co-founder Thomas Wolf says that the incident should come as a chilling warning to the entire industry. Mr Wolf told BBC's Newsday radio programme that AI-driven attacks will soon be'one of the most common types of cyber-attacks we see'. The Hugging Face founder also believes most companies are currently unprepared for the mounting threat, adding that they are not aware that the'game has changed'. This comes after OpenAI revealed the terrifying details of an'unprecedented cyber incident', involving state-of-the-art cyber capabilities.'

Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. If Terrell Grice had been born a few years earlier, he might have been an MTV VJ. Instead, the 32-year-old R&B singer and host of showcases his knowledge of popular music on YouTube, where he has more than 1.4 million subscribers.

Reasoning models are large language models that emit a long chain-of-thought before answering, providing both higher accuracy and explicit reasoning for their response. A major question has been whether language model reasoning generalizes beyond mathematics, programming, and logic, where most previous work has focused. We demonstrate that reasoning models can be post-trained for chemistry without additional domain pretraining, and require substantially less data compared to contemporary domain-specific models. We report ether0, a 24B parameter LLM (based on Mistral-Small-24B) that can reason in natural language and respond with chemical structures. This reasoning model was trained with reinforcement learning on 640,730 experimentally-grounded chemistry problems across 375 tasks ranging from synthesizability, to blood-brain barrier permeability, to human receptor activity, to scent. Our model exceeds general-purpose chemistry models, frontier models, and human experts on molecular design tasks. It is also more data efficient relative to specialized models. We anticipate that this method can be applied to train data-efficient language models specialized for tasks across a wide variety of scientific domains.

In this section, we propose the detailed information during our benchmark and dataset construction821 process, including the data source description, dataset composition, filtering strategies, and the822 rationale for dataset construction. Chemical reaction data are separately collected from patent databases, including USPTO [19], Pista-828 chio [37], and Reaxys [8]. For reaction mechanism annotation, we followed the processing pipeline829 described in [26].830 A.2 Dataset Composition and Filtering Strategies831 Molecular Samples (25% of Benchmark): Although the ZINC database contains 250,000832 molecules, we observed that its molecular weight distribution is relatively concentrated. To en-833 sure diversity, we carefully selected molecules from PubChem, ChEMBL, and ZINC based on834 molecular weight and structural complexity.

Chemical reaction prediction remains a fundamental challenge in organic chemistry, where existing machine learning models face two critical limitations: sensitivity to input permutations (molecule/atom orderings) and inadequate modeling of substructural interactions governing reactivity. These shortcomings lead to inconsistent predictions and poor generalization to real-world scenarios. To address these challenges, we propose ReaDISH, a novel reaction prediction model that learns permutation-invariant representations while incorporating interaction-aware features. It introduces two innovations: (1) symmetric difference shingle encoding, which extends the differential reaction fingerprint (DRFP) by representing shingles as continuous high-dimensional embeddings, capturing structural changes while eliminating order sensitivity; and (2) geometry-structure interaction attention, a mechanism that models intra-and inter-molecular interactions at the shingle level. Extensive experiments demonstrate that ReaDISH improves reaction prediction performance across diverse benchmarks. It shows enhanced robustness with an average improvement of 8.76% on R2 under permutation perturbations.1