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Google’s Bard AI chatbot is no longer limited to pulling answers from just the web — it can now scan your Gmail, Docs, and Drive to help you find the information you’re looking for. With the new integration, you can ask Bard to do things like find and summarize the contents of an email or even highlight the most important points of a document you have stored in Drive.

There’s a whole range of use cases for these integrations, which Google calls extensions, but they should save you from having to sift through a mountain of emails or documents to find a particular piece of information. You can then have Bard use that information in other ways, such as putting it into a chart or creating a bulleted summary. This feature is only available in English for now.

Time to link up or shut up.


Sept 19 (Reuters) — Billionaire entrepreneur Elon Musk’s brain-chip startup Neuralink said on Tuesday it has received approval from an independent review board to begin recruitment for the first human trial of its brain implant for paralysis patients.

Those with paralysis due to cervical spinal cord injury or amyotrophic lateral sclerosis may qualify for the study, it said, but did not reveal how many participants would be enrolled in the trial, which will take about six years to complete.

The study will use a robot to surgically place a brain-computer interface (BCI) implant in a region of the brain that controls the intention to move, Neuralink said, adding that its initial goal is to enable people to control a computer cursor or keyboard using their thoughts alone.

Automation Anywhere, the leader in intelligent automation, announced a historic expansion of its Automation Success Platform, enabling enterprises to accelerate their transformation journeys and put AI to work securely throughout their organizations. Automation Anywhere’s new tools and enhancements deliver AI-powered automation across every team, system and process. During Imagine 2023, the company unveiled a new Responsible AI Layer, and announced four key product updates including the brand-new Autopilot, which enables the rapid development of end-to-end automations from Process Discovery, using the power of generative AI. The company also announced new, expanded features in Automation Co-Pilot for Business Users, Automation Co-Pilot for Automators, and Document Automation.

“The combination of generative AI and intelligent automation represents the most transformational technology shift of our generation,” said Mihir Shukla, CEO and Co-Founder, Automation Anywhere. “Every company, every team, every individual will be able to re-imagine their system of work and automate the processes that hold them back. Great people, empowered with AI and intelligent automation will be absolutely transformative to their organizations as they increase their productivity, creativity and accelerate the business.”

Google is introducing Bard, its artificially intelligent chatbot, to other members of its digital family—including Gmail, Maps and YouTube—as it seeks ward off competitive threats posed by similar technology run by Open AI and Microsoft.

Bard’s expanded capabilities announced Tuesday will be provided through an English-only extension that will enable users to allow the chatbot to mine embedded in their Gmail accounts as well as pull directions from Google Maps and find helpful videos on YouTube. The extension will also open a door for Bard to fetch travel information from Google Flights and extract information from documents stored on Google Drive.

Google is promising to protect users’ privacy by prohibiting human reviewers from seeing the potentially sensitive information that Bard gets from Gmail or Drive, while also promising that the data won’t used as part of the main way the Mountain View, California, company makes money—selling ads tailored to people’s interests.

Aiming to be first in the world to have the most advanced forms of artificial intelligence while also maintaining control over more than a billion people, elite Chinese scientists and their government have turned to something new, and very old, for inspiration—the human brain.

Equipped with surveillance and visual processing capabilities modelled on human vision, the new “brain” will be more effective, less energy hungry, and will “improve governance,” its developers say. “We call it bionic retina computing,” Gao Wen, a leading artificial intelligence researcher, wrote in the paper “City Brain: Challenges and Solution.”

Have you ever talked to someone who is “into consciousness?” How did that conversation go? Did they make a vague gesture in the air with both hands? Did they reference the Tao Te Ching or Jean-Paul Sartre? Did they say that, actually, there’s nothing scientists can be sure about, and that reality is only as real as we make it out to be?

The fuzziness of consciousness, its imprecision, has made its study anathema in the natural sciences. At least until recently, the project was largely left to philosophers, who often were only marginally better than others at clarifying their object of study. Hod Lipson, a roboticist at Columbia University, said that some people in his field referred to consciousness as “the C-word.” Grace Lindsay, a neuroscientist at New York University, said, “There was this idea that you can’t study consciousness until you have tenure.”

Nonetheless, a few weeks ago, a group of philosophers, neuroscientists and computer scientists, Dr. Lindsay among them, proposed a rubric with which to determine whether an A.I. system like ChatGPT could be considered conscious. The report, which surveys what Dr. Lindsay calls the “brand-new” science of consciousness, pulls together elements from a half-dozen nascent empirical theories and proposes a list of measurable qualities that might suggest the presence of some presence in a machine.

At Science4Seniors we strive to take rigorous research published in Scientific Journals and make the core information accessible to all. If you want to support us please like and follow us on Facebook. In recent years, the intersection of medical science and technology has unfurled fascinating possibilities, especially in diagnostics. Among the many marvels we’ve been introduced to, medical artificial intelligence (AI) is reshaping how we detect and diagnose a plethora of health conditions. One area that stands out significantly in this transformation is the potential of AI in the analysis of retinal images.