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Artificial Intelligence (AI) Chips Market to grow by USD 73.49 billion

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The artificial intelligence (AI) chips market report offers a comprehensive analysis of the strategies adopted by vendors and the trends, drivers, and challenges affecting the market size. The report identifies the increasing adoption of AI chips in data centers as one of the major factors driving the growth of the market. The report also provides information on other latest trends and drivers impacting the overall market environment. The Artificial Intelligence (AI) Chips Market is segmented by product (ASICs, GPUs, CPUs, and FPGAs) and geography (North America, Europe, APAC, South America, and MEA). The convergence of AI and IoT will be crucial in fueling the growth of the market over the forecast period.


'World's first' magnetic robotic-assisted surgeries performed with Levita Magnetics' newest platform

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Levita Magnetics says "the first ever" robotic-assisted surgical procedures have been performed using the company's newest system in development, the Levita Robotic Platform. The first case was a reduced-incision laparoscopic cholecystectomy (gallbladder removal) completed by Dr Ignacio Robles, a minimally invasive surgeon at Clínica INDISA in Santiago, as part of a current clinical study of the system in Chile. The new robotic platform is intended to deliver the clinical benefits of the company's first commercial product, the Levita Magnetic Surgical System, including less pain, faster recovery and fewer scars for patients. The platform is intended to improve visualization, maintain surgeon control of instruments, and increase hospital efficiency with fewer assistive personnel required to conduct the procedures. With its compact footprint, the robotic platform is specially designed for high volume ambulatory or same-day discharge abdominal surgeries.


NotCo gets its horn following $235M round to expand plant-based food products – TechCrunch

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NotCo, a food technology company making plant-based milk and meat replacements, wrapped up another funding round this year, a $235 million Series D round that gives it a $1.5 billion valuation. Tiger Global led the round and was joined by new investors, including DFJ Growth Fund, the social impact foundation, ZOMA Lab; athletes Lewis Hamilton and Roger Federer; and musician and DJ Questlove. Follow-on investors included Bezos Expeditions, Enlightened Hospitality Investments, Future Positive, L Catterton, Kaszek Ventures, SOSV and Endeavour Catalyst. This funding round follows an undisclosed investment in June from Shake Shack founder Danny Meyer through his firm EHI. In total, NotCo, with roots in both Chile and New York, has raised more than $350 million, founder and CEO Matias Muchnick told TechCrunch.


Artificial intelligence discovers long-term influencers hiding in noisy systems

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They say in chaos theory that a butterfly flapping its wings in Brazil could unwittingly set up a tornado in Texas. But that tornado should at least need some time to form, given the 5,000-mile distance between the two regions. This time delay between cause and effects in climate patterns is well apparent in the less-dramatized example of El Niño events (as explained in this video). These events occur roughly every two to seven years. But when they do, they build up over several months and their effects can take several months more to spread around the world.


Grieving man uses AI site to 'chat' with dead girlfriend

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A grieving Canadian man used pioneering artificial intelligence software to have life-like online "chats" with his girlfriend -- eight years after she died. Joshua Barbeau, 33, told the San Francisco Chronicle how he paid just $5 to use a beta test of GPT-3, AI software first developed by a research group co-founded by Elon Musk. Still overwhelmed by grief after losing 23-year-old girlfriend Jessica Pereira in 2012, Barbeau said he used her old text messages and Facebook posts to help the chatbot mimic his late lover's writing voice. In scenes from an episode of "Black Mirror" or the movie "Her," Barbeau broke down in tears during a 10-hour, all-night chat in September that at times eerily mimicked the woman he had lost to liver disease. "Of course it is me!" the chatbot he named after Pereira told him at the start of their talk, according to transcripts the freelance Dungeons & Dragons writer from Bradford, Ontario gave the California newspaper.


How AI translation could unseat English as the lingua franca of the business world

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Or in developed nations that are less wealthy than their closest neighbors, like my native Portugal. Because of the country's modest economic size, compared to most of Western Europe, many online companies have limited (or no) presence in Portuguese. British Airways, for instance, only offers customer service in Portuguese on weekdays during business hours--and they're a global airline with enormous operations in Europe. What's more, there are almost 230 million native speakers of Portuguese worldwide, the vast majority of them in Brazil (where, yes, British Airways also offers flights). It's the sixth most spoken language in the world.


NotCo taps AI to develop new plant-based alternatives - Verdict

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Chilean food-tech start-up NotCo uses artificial intelligence (AI) to identify the optimum combinations of plant proteins when creating vegan alternatives to animal-based food products. The company, set up in 2015, has attracted investment from Amazon founder Jeff Bezos and Future Positive, a US investment fund founded by Biz Stone, the co-founder of Twitter. NotCo's machine learning algorithm compares the molecular structure of dairy or meat products to plant sources, searching for proteins with similar molecular components. NotCo has a database containing over 400,000 different plants, including macronutrient breakdown and chemical composition. These factors are used to predict novel food combinations with the target flavour, texture, and functionality.


How AI Can Spot Wildfires Faster Than Humans

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I explain Artificial Intelligence terms and news to non-experts. Wildfires are more and more present in modern society, mainly caused by heat waves, lightning, droughts, climate change, or even human actions like car fires, or cigarette butts. We've seen it everywhere recently Brazil, Australia, United States, Canada, etc., destroying plant, human, and animal life, property damage, and contributing to global warming through the high amount of CO2 produced. But thanks to AI, we may be able to spot these fires much sooner and take action sooner. Here's how artificial intelligence can be used to reduce fire detection time from an average of 40 minutes to less than five minutes!


How AI Helps Spotting Wildfires

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Wildfires are more and more present in modern society, mainly caused by heat waves, lightning, droughts, climate change, or even human actions like car fires and cigarette butts. We've seen it everywhere recently Brazil, Australia, United States, Canada, etc., destroying plant, human, and animal life, property damage, and contributing to global warming through the high amount of CO2 produced. These countries all have walls of videos like the one below in the county's fire emergency to see if something is going on. The most common problem is that they are spotted too late and already widely spread out. This is because you cannot have somebody staring at that wall all day, waiting to spot smoke or fire.


Self-supervised machine learning adds depth, breadth and speed to sky surveys

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Sky surveys are invaluable for exploring the universe, allowing celestial objects to be catalogued and analyzed without the need for lengthy observations. But in providing a general map or image of a region of the sky, they are also one of the largest data generators in science, currently imaging tens of millions to billions of galaxies over the lifetime of an individual survey. In the near future, for example, the Vera C. Rubin Observatory in Chile will produce 20 TB of data per night, generate about 10 million alerts daily, and end with a final data set of 60 PB in size. As a result, sky surveys have become increasingly labor-intensive when it comes to sifting through the gathered datasets to find the most relevant information or new discovery. In recent years machine learning has added a welcome twist to the process, primarily in the form of supervised and unsupervised algorithms used to train the computer models that mine the data.