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Andrea De Souza — Eli Lilly — Leveraging Big Data & Artificial Intelligence For Unmet Medical Needs

Leveraging big data & artificial intelligence to solve unmet medical needs — andrea de souza — eli lilly & co.

Andrea De Souza, is Associate Vice President, Research Data Sciences and Engineering, at Eli Lilly & Company (https://www.lilly.com/) where over the past three years her work has focused around empowering the Lilly Research Laboratories (LRL) organization with greater computational, analytics-intense experimentation to raise the innovation of their scientists.

A former neuroscience researcher, Andrea’s portfolio career has included leadership assignments at the intersection of science, technology and business development. She has built and led informatics and scientific teams across the entire pharmaceutical value chain.

Most recently, Andrea focused on building the Pharma Artificial Intelligence market at NVIDIA. Through this experience she has traveled the world advising bio-pharmaceutical clients, academics, research institutes, and startups in the potential of machine learning and artificial intelligence across every discipline of the industry.

Prior to her role at NVIDIA, Andrea held leadership positions at the Broad Institute of Harvard and MIT, Amgen, and Roche.

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Training a robot to recognize and pour water

Jeffrey DeanUnless you’re actively scrubbing the co2, that’s what happens when you recirculate air.

James FalkA carbonator?

Michael Taylor shared a link.

A horse, a zebra and artificial intelligence helped a team of Carnegie Mellon University researchers teach a robot to recognize water and pour it into a glass.

Water presents a tricky challenge for robots because it is clear. Robots have learned how to pour before, but previous techniques like heating the water and using a thermal camera or placing the glass in front of a checkerboard background don’t transition well to everyday life. An easier solution could enable servers to refill water glasses, robot pharmacists to measure and mix medicines, or robot gardeners to .

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Wearable, waterproof sensors combine high sensitivity and location options

Wearable sensors—an important tool for health monitoring and for training artificial intelligence—can be waterproof or can measure more than one stimuli, but combining these factors while maintaining a high level of precision in the measurements is difficult. Researchers co-led by Huanyu “Larry” Cheng, assistant professor of engineering science and mechanics at Penn State, have created sensors that are waterproof, an important trait for exercise monitoring and for withstanding perspiration and all weather conditions; can measure temperature and motion on both small and large scales; and can be attached to distal arteries such as those located beneath the eyebrow or in a toe.

The results are available now online in the Chemical Engineering Journal ahead of publication in the journal’s September print edition.

“There are three aspects of this that are novel in combination: the underwater application, the ability to detect ultra-small vibrations and subtle motions and temperature changes, and the multiple options for sensor location, such as the eyebrow or toe,” Cheng said.

Biomimetic elastomeric robot skin has tactile sensing abilities

A team of researchers at Korea Advanced Institute of Science and Technology, working with one colleague from MIT and another from the University of Stuttgart, has developed a biomimetic elastomeric robot skin that has tactile sensing abilities. Their work has been published in the journal Science Robotics.

Roboticists continue to work on improving robot abilities and to make them more human-like. In this new effort, the researchers gave a the ability to detect such sensations as a pat, tickling, wind, or something stroking its surface. They accomplished this by partially imitating .

The new robot is multi-layered, like human skin, to allow for different functions. The top layer is made of a rubber-like polymer resembling human skin. Beneath that, the researchers added a hydrogel to imitate the human epidermis. They chose a hydrogel because it not only deforms when pressed, but jiggles when bumped. By embedding sensors to detect these reactions, the skin is able to sense things like a finger press by monitoring the pressure of the hydrogel and the direction of its movement. If something taps against it, the system senses and measures in the hydrogel to gauge what the tap felt like.

Chinese hacking group Aoqin Dragon quietly spied orgs for a decade

Žilvinas DeveikaIt’s much sooner than that. My prediction (that is almost 10 years old now) of an “early” appearance of a strong AGI is 2029. I am completely sure that it will either emerge or will already be there in 2030s.

24 Replies.

Marc O MonfilsAnd what strategies do we have in place to guarantee humanity’s continued relevance in the era of super intelligent machines?

Empathy? Never saved any tribe in the past…

Human services and interaction? For what, to keep our irrelevance engaged?… See more.

5 Replies.

View 9 more comments.

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New Artificial Skin Lets Bionic Arm Or AI Robot Touch & Feel With Extreme Sensitivity

New artificial skin for bionic arm or AI robot | breakthrough photonic chip processes 2 billion images per second without memory device.

AI news includes new artificial skin to let AI robot, bionic arm or prosthetic limb feel with extreme touch sensitivity. New photonic chip allows AI to process and classify 2 billion images per second without needing storage device.

AI News Timestamps:
0:00 AI Robot Artificial Skin For Bionic Arm.
3:28 Photonic Chip Processes 2 Billion Images / Second.

Learn more about the future of decentralized AI here:
SingularityNET AGIX Website — https://singularitynet.io/
Developer Documentation — https://dev.singularitynet.io/
Publish AI Services — https://publisher.singularitynet.io/
AGIX Community Telegram — https://t.me/singularitynet
AGIX Price Chat Telegram — https://t.me/AGIPriceTalk

#AI #Robot #Bionic

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“Firehose” of raw data: Twitter agrees to provide complete ‘Fake Accounts’ data to Elon Musk

According to multiple news reports, Twitter plans to give Elon Musk access to its “firehose” of raw data on hundreds of millions of daily tweets in an effort to speed up the Tesla billionaire’s $44 billion acquisition of the social media platform. The data-sharing agreement was not confirmed by the lawyers involved in the deal. Musk was silent on Twitter, despite having previously expressed his displeasure with various aspects of the deal.

Twitter declined to comment on the reports, pointing to a statement released on Monday in which the company stated that it is continuing to “cooperate” and share information with Musk, who in April entered into a legally binding agreement to purchase Twitter, claims that the transaction cannot go forward until the firm discloses more information on the frequency of bogus accounts on its network. He claims, without providing evidence, that Twitter has grossly underestimated the number of “spam bots” on its platform, which are automated accounts that typically promote scams and misinformation.

On Monday, the Attorney General of the State of Texas, Ken Paxton, said that his office will be investigating “possible false reporting” of bot activity on Twitter as part of an inquiry against Twitter for allegedly failing to disclose the scale of its spam bot and fake account activity. According to a source familiar with the situation, Twitter’s plan to give Musk full access to the firehose was first reported by the Washington Post. According to other reports, the billionaire may only have limited access.