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An Android malware app called SpyLend has been downloaded over 100,000 times from Google Play, where it masqueraded as a financial tool but became a predatory loan app for those in India.

The app falls under a group of malicious Android applications called “SpyLoan,” which pretend to be legitimate financial tools or loan services but instead steal data from devices for use in predatory lending.

These apps lure users with promises of quick and easy loans, often requiring little documentation and offering attractive terms. However, upon installation, they request excessive permissions, allowing the apps to steal personal data such as contacts, call logs, SMS messages, photos, and device location.

Google continues its rollout of gradually disabling uBlock Origin and other Manifest V2-based extensions in the Chrome web browser as part of its efforts to push users to Manifest V3-based extensions.

For those unaware, Manifest V3 is Chrome’s latest extension specification and is designed to limit extension access to user network requests, block developers from utilizing remote content, and improve overall performance.

While Manifest V3 is supposed to benefit end users, it comes at the cost of functionality, as it imposes stricter limitations on browser extensions, particularly ad blockers and privacy-focused tools.

The Carboncopies Foundation is starting The Brain Emulation Challenge.


With the availability of high throughput electron microscopy (EM), expansion microscopy (ExM), Calcium and voltage imaging, co-registered combinations of these techniques and further advancements, high resolution data sets that span multiple brain regions or entire small animal brains such as the fruit-fly Drosophila melanogaster may now offer inroads to expansive neuronal circuit analysis. Results of such analysis represent a paradigm change in the conduct of neuroscience.

So far, almost all investigations in neuroscience have relied on correlational studies, in which a modicum of insight gleaned from observational data leads to the formulation of mechanistic hypotheses, corresponding computational modeling, and predictions made using those models, so that experimental testing of the predictions offers support or modification of hypotheses. These are indirect methods for the study of a black box system of highly complex internal structure, methods that have received published critique as being unlikely to lead to a full understanding of brain function (Jonas and Kording, 2017).

Large scale, high resolution reconstruction of brain circuitry may instead lead to mechanistic explanations and predictions of cognitive function with meaningful descriptions of representations and their transformation along the full trajectory of stages in neural processing. Insights that come from circuit reconstructions of this kind, a reverse engineering of cognitive processes, will lead to valuable advances in neuroprosthetic medicine, understanding of the causes and effects of neurodegenerative disease, possible implementations of similar processes in artificial intelligence, and in-silico emulations of brain function, known as whole-brain emulation (WBE).

Alopecia refers to hair loss and can affect the scalp, eyebrows, eyelashes, and other areas of the body. There are different types of alopecia including androgenetic alopecia, alopecia areata, anagen effluvium, and frontal fibrosing alopecia (FFA). Each form of disease refers to where and how hair is lost. This type of categorization helps physicians best diagnose and treat patients. Frontal fibrosing alopecia was first recognized in the early 1990s and still puzzles scientists and physicians. It is characterized by progressive loss with hair follicles becoming inflamed and destroyed. Eyebrow thinning is also a common symptom along with skin redness and scaling, and wrinkling.

Unfortunately, the cause of FFA is unknown and is a type of scarring hair loss, which means that the hair cannot grow back. This particularly distressing condition is thought to be the result of an autoimmune disorder. Many scientists believe FFA is caused by hormonal imbalances or genetic predispositions. Scientists are currently trying to find ways to cure or permanently treat FFA. Treatment options to date include topical corticosteroids, oral medication, light therapy, and hair transplantation. However, all of these treatments work to relieve symptoms, delay hair loss, or replace hair loss. Since FFA is a chronic condition, symptoms can progress over time and with early intervention, patients can significantly delay hair loss. The lack of sufficient treatment is still a concern, and many researchers are investigating how to overcome this disease and avoid hair loss.

A recent paper in JAMA Dermatology, by Dr. Christos Tziotzios and others, reported a change in two areas of the human genome that can influence alopecia risk. This is a major advance in the field of alopecia and can be used to enhance treatment. Tziotzios is a Consultant Dermatologist and Senior Lecturer at St. John’s Institute of Dermatology in the United Kingdom (UK). He specializes in general dermatology and hair and scalp disorders including FFA in both biological males and females.

Only weeks after Figure.ai announced ending its collaboration deal with OpenAI, the Silicon Valley startup has announced Helix – a commercial-ready, AI “hive-mind” humanoid robot that can do almost anything you tell it to.

Figure has made headlines in the past with its Figure 01 humanoid robot. The company is now on version 2 of its premiere robot, however, it’s received more than just a few design changes: it’s been given an entirely new AI brain called Helix VLA.

It’s not just any ordinary AI either. Helix is the very first of its kind to be put into a humanoid robot. It’s a generalist Vision-Language-Action model. The keyword being “generalist.” It can see the world around it, understand natural language, interact with the real world, and it can learn anything.