Lifeboat Foundation

Medical tech company Viz.ai, a developer of an AI-powered stroke detection and care platform, has pulled in a new investment of $100 million at a valuation of $1.2 billion, making it Israel’s newest unicorn (a private company valued at over $1 billion).

The company said Thursday that the Series D funding will be used to expand the Viz platform to detect and triage additional diseases and grow its customer base globally.

Viz.ai’s newest round was led by Tiger Global Management, a New York-based investment firm focused on software and financial tech, and Insight Partners, a VC and private equity firm also based in New York. Tiger Global has invested in Israeli companies such as cybersecurity companies Snyk and SentinelOne as well as payroll tech companies Papaya Global and HoneyBook. Insight Partners is a very active foreign investor in Israeli companies, with at least 76 local portfolio startups to its name including privacy startup PlainID, bee tech startup Beewise, and music tech startup JoyTunes.

We are already living in the future. Our everyday lives are influenced by robots in many ways, whether we’re at home or at work. As artificial intelligence, open source algorithms, and cloud technology have been developed in recent years, they have contributed to creating favorable conditions for robot revolution, which is closer than you might expect.

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The growth potential of intelligent machines is attaining milestones almost every other day. Each day, new publications and media houses are reporting the new achievements of AI. But there were still questions about the creative potential of AI. Experts believe that artificial intelligence machines will never be able to achieve the creative consciousness that human intelligence possesses. Well, AI has again proved them wrong! The technology is now capable of creating its own art, out of its own imagination, and also poetry, that only the most deeply conscious human brains can do.

There have been several instances where programming and poetry have converged into generating some of the most outstanding pieces in the history of tech. Programming itself has its own set of minimalist aesthetics that does not take up much space and does not take too long to execute. Also, there have been many programmers who had links to poetry and art, which makes it easier for them to curate a mindblowing tech that can yield the same standard of results. Nowadays, companies like OpenAI create futuristic technology that is not only advanced but also boldly creative. In fact, its poetry-writing AI has made huge strides over the internet!

Continue reading “Computers as Poets: OpenAI’s Algorithmic Poetry” »

A banking trojan for Android that researchers call Fakecalls comes with a powerful capability that enables it to take over calls to a bank’s customer support number and connect the victim directly with the cybercriminals operating the malware.

Disguised as a mobile app from a popular bank, Fakecalls displays all the marks of the entity it impersonates, including the official logo and the customer support number.

When the victim tries to call the bank, the malware breaks the connection and shows its call screen, which is almost indistinguishable from the real one.

Without allowing users to generate violent, adult, or political content. Back in January of 2021, OpenAI introduced DALL-E, a neural network the company said can “take any text and make an image out of it,” according to OpenAI’s chief scientist and co-founder, Ilya Sutskever. This included concepts it may never have chanced upon during training.

DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.

The Neuro-Network.

𝐒𝐭𝐮𝐝𝐲 𝐦𝐚𝐩𝐬 𝐩𝐬𝐲𝐜𝐡𝐞𝐝𝐞𝐥𝐢𝐜-𝐢𝐧𝐝𝐮𝐜𝐞𝐝 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐢𝐧 𝐜𝐨𝐧𝐬𝐜𝐢𝐨𝐮𝐬𝐧𝐞𝐬𝐬 𝐭𝐨 𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐫𝐞𝐠𝐢𝐨𝐧𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐛𝐫𝐚𝐢𝐧

Continue reading “AI maps psychedelic ‘trip’ experiences to regions of the brain — opening new route to psychiatric treatments” »

In the field of artificial intelligence, reinforcement learning is a type of machine-learning strategy that rewards desirable behaviors while penalizing those which aren’t. An agent can perceive its surroundings and act accordingly through trial and error in general with this form or presence – it’s kind of like getting feedback on what works for you. However, learning rules from scratch in contexts with complex exploration problems is a big challenge in RL. Because the agent does not receive any intermediate incentives, it cannot determine how close it is to complete the goal. As a result, exploring the space at random becomes necessary until the door opens. Given the length of the task and the level of precision required, this is highly unlikely.

Exploring the state space randomly with preliminary information should be avoided while performing this activity. This prior knowledge aids the agent in determining which states of the environment are desirable and should be investigated further. Offline data collected by human demonstrations, programmed policies, or other RL agents could be used to train a policy and then initiate a new RL policy. This would include copying the pre-trained policy’s neural network to the new RL policy in the scenario where we utilize neural networks to describe the procedures. This process transforms the new RL policy into a pre-trained one. However, as seen below, naively initializing a new RL policy like this frequently fails, especially for value-based RL approaches.

Google AI researchers have developed a meta-algorithm to leverage pre-existing policy to initialize any RL algorithm. The researchers utilize two procedures to learn tasks in Jump-Start Reinforcement Learning (JSRL): a guide policy and an exploration policy. The exploration policy is an RL policy trained online using the agent’s new experiences in the environment. In contrast, the guide policy is any pre-existing policy that is not modified during online training. JSRL produces a learning curriculum by incorporating the guide policy, followed by the self-improving exploration policy, yielding results comparable to or better than competitive IL+RL approaches.

CSIS will host a public event on responsible AI in a global context, featuring a moderated discussion with Julie Sweet, Chair and CEO of Accenture, and Brad Smith, President and Vice Chair of the Microsoft Corporation, on the business perspective, followed by a conversation among a panel of experts on the best way forward for AI regulation. Dr. John J. Hamre, President and CEO of CSIS, will provide welcoming remarks.

Keynote Speakers:
Brad Smith, President and Vice Chair, Microsoft Corporation.
Julie Sweet, Chair and Chief Executive Officer, Accenture.

Continue reading “Responsible AI in a Global Context” »

Rich Heimann explores how the philosophy of mind and consciousness has affected AI research.