Lifeboat Foundation

The theory could resolve some unanswered questions.

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence.

With their millions and billions of numerical parameters, deep learning models can do many things: detect objects in photos, recognize speech, generate text—and hide malware. Neural networks can embed malicious payloads without triggering anti-malware software, researchers at the University of California, San Diego, and the University of Illinois have found.

Their malware-hiding technique, EvilModel, sheds light on the security concerns of deep learning, which has become a hot topic of discussion in machine learning and cybersecurity conferences. As deep learning becomes ingrained in applications we use every day, the security community needs to think about new ways to protect users against their emerging threats.

One of the reasons branching identity is being accepted more seriously these days.

Beginning in the 1950s, experiments with split-brain patients revealed that consciousness could be divided between the two hemispheres of the brain. A surprising implication was that if consciousness could be divided, then it could also be combined. Evidence of this came in 2006, when conjoined twins Krista and Tatiana Hogan were born. The Hogan sisters were born with their brains connected by a thalamic bridge, which allowed a unique mental connection between them. We explore this surprising mental connection, and the possibility that we may one day connect our own minds with other conscious beings, together with what this might mean for our concept of self, identity, and the future of mind.

Continue reading “Split-Brains, Consciousness and Combining Minds | Waking Cosmos Documentary” »

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Perhaps the most sought after technology is not the ability to extend life, but to restore it once it is gone. We will examine the technological options that may be available to us in the future.

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Continue reading “Resurrection: The first 1,000 people to use the link will get a free trial of Skillshare Premium Membership:” »

One promising solution to plastic pollution is mycelium or mushroom packaging. It is made of 2 ingredients: mushrooms and hemp. Mycelium is the underground network of very durable, thread-like filaments called hyphae. It is mixed with agricultural waste like wood chips, oat hulls, cotton burrs or hemp hurds.

Link to my Patreon page: https://www.patreon.com/Belinda_Carr.

Continue reading “Can Mushrooms replace EVERYTHING? | Concrete, Plastic, Meat, Leather” »

Engineers are developing the crucial hardware needed for a series of daring space missions that will be carried out in the coming decade.

Testing has already begun on what would be the most sophisticated endeavor ever attempted at the Red Planet: bringing rock and sediment samples from Mars.

Continue reading “NASA Begins Testing Robotics for Daring Space Mission To Bring First Samples Back From Mars” »

Pig Kidney transplant to humans: Surgeons in New York have successfully transplanted pig kidneys to two recipients in what could be a revolutionary study.

AI doesn’t just want to eat your lunch — sometimes it wants to deliver it, too.

Driverless tech provider Motional and Uber Eats plan to add a dash of autonomy to food delivery next year in Santa Monica, serving up meal kits from select restaurants. The news was first reported by AiThority.

The plan is for food deliveries to come via Motional’s all-electric Hyundai IONIQ 5-based robotaxis. Motional said this will be the first time its vehicles are used to deliver food. It’s not clear whether humans or robots will bring the meal kits to customers’ doorsteps.

Roche and its Genentech subsidiary have committed up to $12 billion to Recursion in return for using its Recursion Operating System (OS) to advance therapies in 40 programs that include “key areas” of neuroscience and an undisclosed oncology indication.

Recursion OS applies machine learning and high-content screening methods in what the companies said would be a “transformational” model for tech-enabled target and drug discovery.

The integrated, multi-faceted OS is designed to generate, analyze and glean insights from large-scale proprietary biological and chemical datasets—in this case, extensive single-cell perturbation screening data from Roche and Genentech—by integrating wet-lab and dry-lab biology at scale to phenomically capture chemical and genetic alterations in neuroscience-related cell types and select cancer cell lines.