Today Lumina announced the launch of a new web site for Lumina Research (Lumina-Research.com) and access to the beta version of its machine learning platform, Random Contrast Learning (RCL). RCL has the promise to advance machine learning past the current state-of-the-art offered by neural network technologies. Advantages of RCL include faster training speeds, lower training costs, faster inference speeds, greater sensitivity to pattern recognition, and greater transparency compared to neural networks. RCL achieves these results by employing novel uses of random to train machine learning models. "We are excited to introduce the beta version of RCL to developers and users."

The top opportunities in the artificial intelligence (AI) in drug discovery market segmented by technology will arise in deep learning segment, …

Role requiring'No experience data provided' months of experience in San Francisco We are a startup within an enterpise business and have huge growth plans! Our product relies on Computer Vision to make it easier for customers to choose between different product offerings. We are headquartered in the Bay Area but have engineers throughout the country! With a remote-first culture, we strongly believe in collobaration via Microsoft Teams. Our software is used daily by millions of customers globally and we are still gaining new customers, we have exciting plans for the future!

Barry Smith, PhD, SUNY Distinguished Professor in the Department of Philosophy in UB's College of Arts and Sciences, and Jobst Landgrebe, PhD, founder of Cognotekt, a German AI company, have co-authored "Why Machines Will Never Rule the World: Artificial Intelligence without Fear." Their book presents a powerful argument against the possibility of engineering machines that can surpass human intelligence. Machine learning and all other working software applications the proud accomplishments of those involved in AI research are for Smith and Landgrebe far from anything resembling the capacity of humans. Further, they argue that any incremental progress that's unfolding in the field of AI research will in practical terms bring it no closer to the full functioning possibility of the human brain. There cannot be a machine will, they say.

The European Union is likely to introduce among the first, most stringent, and most comprehensive AI regulatory regimes of the world's major jurisdictions. In this report, we ask whether the EU's upcoming regulation for AI will diffuse globally, producing a so-called "Brussels Effect". Building on and extending Anu Bradford's work, we outline the mechanisms by which such regulatory diffusion may occur. We consider both the possibility that the EU's AI regulation will incentivise changes in products offered in non-EU countries (a de facto Brussels Effect) and the possibility it will influence regulation adopted by other jurisdictions (a de jure Brussels Effect). Focusing on the proposed EU AI Act, we tentatively conclude that both de facto and de jure Brussels effects are likely for parts of the EU regulatory regime. A de facto effect is particularly likely to arise in large US tech companies with AI systems that the AI Act terms "high-risk". We argue that the upcoming regulation might be particularly important in offering the first and most influential operationalisation of what it means to develop and deploy trustworthy or human-centred AI. If the EU regime is likely to see significant diffusion, ensuring it is well-designed becomes a matter of global importance.

The company is set to buy TCGplayer -- an online marketplace for trading card games -- in a deal valued up to $295 million, it announced today. Launched in 2008, TCGplayer specializes in trading cards from popular franchises like Pokémon, Magic: The Gathering, Digimon and more. The site will operate independently after the acquisition, which is expected to close in the first quarter of 2023. The pandemic drove a surge of interest in collectible trading cards that has only recently started to slow down. Last year eBay sold a trading card every two seconds, noted The Athletic.

Self-driving vehicles could soon be whizzing around on Britain's roads, after the Government announced plans to allow cars, coaches and lorries with self-driving features to be used on motorways in 2023. Only features such as lane-keeping technology will be legal initially, with fully autonomous self-driving cars – where motorists can check emails or watch TV behind the wheel – not allowed until 2025. Nevertheless, it would still signify a major milestone in the continued development and rollout of the technology. Many experts have welcomed the Government's desire to embrace self-driving technology, claiming it could improve road safety and better connect communities. But critics have questioned the safety of such vehicles.

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Waterdrop Inc. ("Waterdrop", the "Company" or "we") (NYSE: WDH), a leading technology platform dedicated to insurance and healthcare service with a positive social impact, recently announced that it officially launched its first digital employee "Waterdrop Assistant". "Waterdrop Assistant" is a human-like virtual employee that was developed based on Waterdrop's business processes and is powered by multiple technologies, including robotic process automation (RPA) and artificial intelligence (AI). "Waterdrop Assistant" can help the online insurance service team with numerous tasks, including data processing and analysis, online user management, and customer services, thus improving the response time, quality, and scope of the Company's customer service team. Mr. Mingxing Huang, Head of AI at Waterdrop, commented, "The introduction of digital employees is our latest exploration to continue promoting the digital transformation of the insurance industry, to reduce operating costs, and improve the efficiency of insurance services. Specifically in our case, 'Waterdrop Assistant' has helped shorten the response time, lower operating costs, and unleash the potential of our staff. Our analysis shows that since its launch, 'Waterdrop Assistant' has processed 86% of the user sessions with a 97% accuracy rate for intention recognition, helping free up 37% of the customer service manpower and effectively increase the policy renewal rate. Currently, 'Waterdrop Assistant' is responsible for highly repetitive and labor-intensive tasks, however, it has also undergone constant system iterations and architecture upgrades through ongoing machine learning. For example, in the fourth quarter of 2021, Waterdrop Assistant completed 20-plus system iterations and 3 architecture upgrades accumulatively. Our next goal is to enable'Waterdrop Assistant' to independently complete tasks for more complex and interactive scenarios and play a bigger role in the process of sales inquiry, underwriting review, risk control, and claim settlement."

The Squarespace Central Datasets team is looking for a Senior Data Engineer to help us build and scale our platform for delivering comprehensive, trustworthy, and highly-available datasets. We currently help the Marketing team by providing a high-quality, consistent view of what a Squarespace customer looks like. We are starting to expand our scope to design and build a centralized platform to efficiently model and generate new high-quality datasets used by diverse business verticals across the company - this is an opportunity to get in on the ground floor and help shape the future of how data is modeled and used by internal stakeholders at Squarespace. We are a distributed team, and this role is remote friendly. Squarespace is a leading all-in-one website building and ecommerce platform that enables millions to build a brand and transact with their customers in an impactful and beautiful online presence.