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How does Elon Musk's Neuralink brain chip actually work?

Daily Mail - Science & tech

For the past six years, Elon Musk has been working on a chip designed to be implanted into human brains, with his neurotechnology company Neuralink. His ultimate goal is to develop a'brain-computer interface' that will initially be used to help people with paralysis or motor neurone disease to communicate. It will allegedly allow them to operate computers and mobile devices using their thoughts, but could have further uses in years to come. So what exactly is the chip? How does it work and how will it cure all medical problems?

AI Reveals the Most Human Parts of Writing


A woman has been working on her book, a young adult fantasy novel, for hours. At some point, she gets the familiar itch to check her email: She can't think of what to write next. She could bang her head against the wall, or maybe turn to a favorite book for inspiration, or lose her momentum to distraction. But instead she turns to an AI writing tool, which takes in her chapter so far and spits out some potential next paragraphs. These paragraphs are never quite what she wants, though they sometimes contain beautiful sentences or fascinating directions.

White-Bagging with White-Glove Service


WeInfuse is excited to announce Amber Specialty Pharmacy as partner of WeInfuse's Specialty Pharmacy Connect Program. This partnership program and integration will provide customers direct ordering access of SpecRx medications and will reduce administrative burdens associated with payer-mandated specialty pharmacy requirements. Amber Specialty Pharmacy provides personalized and reliable care to those with complex and chronic conditions with a dedicated team that can guide clients through this new process. Amber cares for patients in all 50 states, including Puerto Rico, with 19 physical locations across the nation. It has been proudly serving patients for more than 25 years.

Stroke: Researchers use AI model to predict a person's 10-year risk


Researchers developed a deep learning model using artificial intelligence(AI) for the current study. The team used a CXR-CVD system that was "trained" to search more than 147,000 chest X-ray images from almost 41,000 participants in a cancer screening trial and spot patterns associated with cardiovascular disease. Once developed, the system could predict a person's 10-year risk of having a stroke or heart attack from a single chest X-ray. Lead study author Jakob Weiss, Ph.D., a radiologist with the Cardiovascular Imaging Research Center at Massachusetts General Hospital and the AI in Medicine program at the Brigham and Women's Hospital in Boston, explained to MNT: "Current guidelines of the American College of Cardiology and American Heart Association on the primary prevention of cardiovascular disease recommend the use of a risk calculator to estimate the risk of future CVD. This risk calculator is based on the ASCVD risk score, a multivariable regression model requiring nine variables as input, such as age, sex, smoking, lipids, blood pressure, and diabetes. However, these variables are often not available, which makes novel and more practical screening approaches desirable."

Tesla delivers first Semi electric truck to Pepsi


Elon Musk unveiled it in 2017 and said it was coming in 2019. Tesla highlighted the milestone with a Semi Delivery Event on Thursday, held at the company's Gigafactory in Nevada, where the first Semi was officially delivered to PepsiCo. The Semi is a class 8 electric truck powered by three motors on rear axles, with a 300- or 500 mile-range (depending on the configuration), load capacity of 82,000 pounds, and a 0–60mph time of 20 seconds. "This thing has crazy power compared to a diesel truck," Musk said during the event. Like other Teslas, the Semi charges fast: Tesla specs say you can get a 70 percent charge in 30 minutes, thanks to Tesla's one-megawatt, liquid cooled charging tech (the same tech will be used for Tesla's upcoming Cybertruck, too).

TSA now wants to scan your face at security. Here are your rights.

Washington Post - Technology News

American airports have been experimenting with so-called biometric technology for years, following the 9/11 attacks. You might have seen Customs collecting biometric information from passengers entering the United States. In 2019, I tested some of the ways airlines were using face scans to replace boarding passes for international flights. The TSA's facial recognition pilot began at Ronald Reagan Washington National Airport (DCA) amid concerns about covid transmission through contact in August 2020.

Seagate Technology Joins the Active Archive Alliance


The Active Archive Alliance announced that Seagate Technology has joined the organization. The Active Archive Alliance is a collaboration of industry-leading storage and IT vendors that collectively support the use of active archive solutions for data lifecycle management. "The goals of Seagate and the Alliance are now more closely aligned than ever, making this the ideal time to join forces." "Seagate is proud to join the Active Archive Alliance to support their important mission to maximize data access across all storage media through its entire lifecycle. We are dramatically broadening our technology investments and product portfolio to offer customers hardware, software and services that solve their most challenging mass-capacity storage, transfer and migration needs," said Ted Oade, product marketing director at Seagate.

Making the most of quite little: Improving AI training for edge sensor time series


Engineers at the Tokyo Institute of Technology (Tokyo Tech) have demonstrated a simple computational approach for improving the way artificial intelligence classifiers, such as neural networks, can be trained based on limited amounts of sensor data. The emerging applications of the Internet of Things often require edge devices that can reliably classify behaviors and situations based on time series. However, training data are difficult and expensive to acquire. The proposed approach promises to substantially increase the quality of classifier training, at almost no extra cost. In recent times, the prospect of having huge numbers of Internet of Things (IoT) sensors quietly and diligently monitoring countless aspects of human, natural, and machine activities has gained ground.

Review -- Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?


The interaction with all the other white tokens can be achieved when sMLP is executed twice. It consists of three branches: two of them are responsible for mixing information along horizontal and vertical directions respectively and the other path is the identity mapping. The output of the three branches are concatenated and processed by a pointwise convolution to obtain the final output. We can see that MLP-Mixer cannot afford a high-resolution input or the pyramid processing, as the computational complexity grows with N². In contrast, the computational complexity of the proposed sMLP grows with N N.

Artificial intelligence that can write code from scratch is coming! - Gearrice


While GitHub and other companies offer neural networks to aid the code writing process, Google is quietly moving forward. It turned out that the search giant is working on an artificial intelligence tool that can write programs on its own, as well as complete, fix and improve the code it writes. The project, called Pitchfork, is currently known to be developed by the Google Labs division, but previously worked on the Google X research team. Sources close to software giant Google say the algorithm can learn programming styles and write code based on that knowledge. It was originally created to update the code base of the Python programming language to new versions without human intervention.