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Google announced it is rolling out generative AI to its core search engine.

Shortly after Google made several AI-related announcements at its annual developers conference, its parent company Alphabet’s stock shot up by 5% on Wednesday and reportedly made gains of $56 billion to its market value.

Kicking off the conference, saying, “As you may have heard, AI is having a very busy year. So we have lots to talk about,” CEO Sundar Pichai announced that the company is adding Search Generative Experience (SGE) to its search engine by way of AI snapshots. Those who opt for SGE will see an AI-powered snapshot of key information to consider, with links to dig deeper.


Google.

MIT researchers developed a technique that captures images of an object from various angles and converts its surface into a virtual sensor that captures reflections.

Imagine seeing around corners or peeking beyond obstacles that once blocked your view. It’s like having X-ray vision. It might now be possible thanks to new research.

A group of brilliant researchers from MIT and Rice University unveiled an incredible computer vision technology that can change how we see the world. We could soon live in a world where shiny objects become extraordinary “cameras” that let us view our surroundings through their unique lenses.


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Microsoft will also contribute its algorithm knowledge to make Builder.ai’s Natasha, an AI assistant, sound more human.

Microsoft Corporation has invested an undisclosed amount in Builder.ai, a no-code builder startup, as it looks to diversify its bets in the artificial intelligence (AI) game. Builder.ai lets users with no technical knowledge or experience in coding build their own apps and manage them.

Microsoft is already ahead in the AI game thanks to its partnership with OpenAI, the maker of the popular chatbot ChatGPT.


Jean Luc Ichard/ iStock.

Thanks to advances in artificial intelligence (AI) chatbots and warnings by prominent AI researchers that we need to pause AI research lest it destroys society, people have been talking a little more about the ethics of artificial intelligence lately.

The topic is not new: Since people first imagined robots, some have tried to come up with ways of stopping them from seeking out the last remains of humanity hiding in a big field of skulls. Perhaps the most famous example of thinking about how to constrain technology so that it doesn’t destroy humanity comes from fiction: Isaac Asimov’s Laws of Robotics.

The laws, explored in Asimov’s works such as the short story Runaround and I, Robot, are incorporated into all AI as a safety feature in the works of fiction. They are not, as some on the Internet appear to believe, real laws, nor is there currently a way to implement such laws.

ChatGPT has put AI in the limelight. The NYT has this funny list. I can think of many more things, but it shows how interest is growing.

The public release of ChatGPT last fall kicked off a wave of interest in artificial intelligence. A.I. models have since snaked their way into many people’s everyday lives.

Despite their flaws, ChatGPT and other A.I. tools are helping people to save time at work, to code without knowing how to code, to make daily life easier or just to have fun.


Artificial intelligence models have found their way into many people’s lives, for work and for fun.

Great overview of progress in the field of oncolytic viruses. Take home message: it’s super important to develop viruses that not only attack tumors directly, but also stimulate immune strong responses against the cancer. #genetherapy #biotechnology


Cancer treatments known as oncolytic viruses are being tested in clinical trials, and one, T-VEC or Imlygic®, has been approved by the FDA. Research now suggests that these treatments work not only by infecting and killing tumor cells, but that they may also be a form of cancer immunotherapy.

Two specialized researchers, one with the Leibniz-Institut für Wissensmedien (the Knowledge Media Research Center), the other with the Applied Face Cognition Lab at the University of Lausanne, have validated reports that some people have super-recognizing abilities. In their study, reported in Proceedings of the National Academy of Sciences, Maren Mayer and Meike Ramon analyzed data from eyewitnesses of ongoing bank robberies in Fribourg, Switzerland, helping to identify two suspects.

Anecdotal evidence and reports from multiple criminal tracking organizations have suggested that some people can recognize another person’s face with high accuracy after time has elapsed, even after seeing a face for just a few seconds. Such people have become known by police officials as super-recognizers (SRs). But as the researchers with this new effort noted, little if any research has sought to verify that self-described SRs or those described as such by others, do indeed have such abilities.

Mayer and Ramon were not actively seeking to test the skill of SRs. They were approached by officials from the Cantonal Criminal Police of Fribourg looking for help in solving robberies that had been captured on video.