Hon Hai Precision Industry Co. will operate a U.S. factory owned by SoftBank Group Corp., setting up what's in the running to be the first manufacturing site in the Japanese company's 500 billion Stargate venture with OpenAI and Oracle Corp. SoftBank is acquiring Hon Hai's electric-vehicle plant in Ohio but the Taiwanese company will continue to run the complex after turning it into an AI server production plant, Hon Hai Chairman Young Liu said, confirming a report. SoftBank will supply manufacturing gear to the factory, and a joint venture between the two companies will make AI data center-related equipment, Liu said. SoftBank is scouting a number of potential data center sites to serve as a flagship for Stargate, weighing their access to water, power and telecom networks. Hon Hai's participation represents a boon for SoftBank founder Masayoshi Son's ambition to be at the center of surging investment in artificial intelligence hardware. Hon Hai -- known also as Foxconn -- assembles Apple iPhones and Nvidia servers.

This paper will examine what makes a being intelligent, whether that be a biological being or an artificial silicon being on a computer. Special attention will be paid to the being having the ability to characterize and control a collective system of many identical conservative sub-systems conservatively interacting. The essence of intelligence will be found to be the golden rule -- "the collective acts as one" or "knowing the global consequences of local actions". The flow of the collective is a small set of twinkling textures, that are governed by a puppeteer who is pulling a small number of strings according to a geodesic motion of least action, determined by the symmetries. Controlling collective conservative systems is difficult and has historically been done by adding significant viscosity to the system to stabilize the desirable meta stable equilibriums of maximum performance, but it degrades or destroys them in the process. There is an alternative. Once the optimum twinkling textures of the meta stable equilibriums are identified, the collective system can be moved to the optimum twinkling textures, then quickly vibrated according to the textures so that the collective system remains at the meta stable equilibrium. Well educated intelligence knows the global consequences of its local actions so that it will not take short term actions that will lead to poor long term outcomes. In contrast, trained intelligence or trained stupidity will optimize its short term actions, leading to poor long term outcomes. Well educated intelligence is inherently good, but trained stupidity is inherently evil and should be feared. Particular attention is paid to the control and optimization of economic and social collectives. These new results are also applicable to physical collectives such as fields, fluids and plasmas.

PALO ALTO, California, March 24 (Reuters) - In December and January, several venture capitalists from the U.S. and Britain raced to Paris to vie for a stake in a new artificial intelligence company that could reshape how people work. The startup they courted, Dust, consisted of just two people. It had not been incorporated yet. And it rejected a generous proposal by top investment firm Coatue Management among other offers, three people familiar with the deal told Reuters. Sequoia Capital won, two of the people said, leading a sizable "seed" fundraising round of $5 million.

Over time, the route to external financing has become a standardized, inefficient process. Founders will go to venture capitalists or wealthy'angels', map out their vision and ask for funding in return for a stake in the business. Investors will do their own research and deals will always hinge on subjectivity. Entrepreneurs must persuade investors that their company mission warrants backing and that they, as individuals, are capable of making it a reality. Despite the advanced technologies and sectors that investors bankroll, these existing methods are outdated and not fit for purpose.

AMP Robotics Corp. ("AMP"), a pioneer in artificial intelligence (AI), robotics, and infrastructure for the waste and recycling industry, has raised $91 million in corporate equity in a Series C financing, led by Congruent Ventures and Wellington Management as well as new and existing investors including Blue Earth Capital, Sidewalk Infrastructure Partners (SIP), Tao Capital Partners, XN, Sequoia Capital, GV, Range Ventures, and Valor Equity Partners. This new round of funding follows a $55 million Series B financing led by XN in January 2021. "Our focus from the outset has been our application of AI-powered automation to economically and sustainably improve our global recycling system" "Advancements in robotics and automation are accelerating the transformation of traditional infrastructure, and AMP is seeking to reshape the waste and recycling industries," said Michael DeLucia, sector lead for Climate Investing, Wellington Management. "By bringing digital intelligence to the recycling industry, AMP can sort waste streams and extract additional value beyond what is otherwise possible." AMP will use the latest funding to scale its business operations while continuing its international expansion.

Streamlined Ventures, led by Ullas Naik, secured $140 million in new capital commitments for its two newest funds. This brings the total funds managed to eight with the assets under management reaching about $325 million. Institutional investors, family offices and high net worth individuals pumped $102 million into the firm's fifth seed fund, which targets startups focused on data science, AI, software automation, APIs and Web 2.5. The second is $36 million into a third opportunity fund that invests in mid-stage financings of seed-stage companies from prior seed funds. Naik is a solo general partner who started Streamlined Ventures in 2011, but prior to starting his own firm, had been in both angel investing and venture capital for more than 25 years.

The onshoring and buildout of dozens of fabs, many costing tens of billions of dollars, is beginning to spill over into other areas that are critical for chip manufacturing. Materials, in particular, which often gets little attention outside of chip manufacturing, witnessed a big spike in September 2022. In fact, seven materials companies covered in this report made up more than a third of the month's total reported investments, with three of the companies garnering more than $200 million. Other investment targets were sputtering equipment and evaporation materials for deposition, high-purity polycrystalline silicon, fluorine-containing electronic gases, and silicon carbide. In the AI hardware arena, numerous startups are focusing on in-memory and near-memory compute, reducing the volume of data that needs to be moved back and forth between memory and processing elements. Novel architectures also are appearing, such as one that uses sparse mathematics.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Ironclad yesterday unveiled a new version of its contract platform embedded with an AI layer in an effort to improve business workflows throughout the lifecycle of a contract. Organizations can create contracts 60% faster by automating the contract creation process, according to Jason Boehmig, the company's CEO and co-founder. They will also have the capability to "slice and dice" all the operational data in previously executed contracts, he said.

This is my new AI in Healthcare Highlights & Milestones Report for Summer 2022. This report includes an overview of advances made during the summer across the healthcare spectrum including important studies, regulatory clearances, fundraising, partnerships, and growth in the AI ecosystem worldwide. This summer scientists demonstrated how they successfully used AI in many areas including: to reduce sepsis deaths, to predict cardiac events, to detect breast cancer, to detect lung cancer, to detects osteoporosis, to detect Parkinson's, to monitor diabetic retinopathy, to detect heart disease, to detect bladder cancer, to enable pathology, to detect fractures, and to monitor Parkinson's using the Apple Watch. In July scientists in Germany published a large scale study demonstrating that radiologists working with AI were more accurate detecting breast cancer than radiologists working without AI, and vice versa - the AI was more accurate when working with a radiologist than when working independently. The study was led by Vara, a German company, in collaboration with radiologists at the Essen University Hospital in Germany and the Memorial Sloan Kettering Cancer Center in New York. Vara's AI is has been used by radiologists in German breast screening centers for two years and is used in 30% of Germany's breast cancer screening centers. Vara's AI software is also used to screen for breast cancer in a hospital in Mexico and in a hospital in Greece.

This week Diagnostic Robotics announced that they have raised $45 million in Series B financing. This round was led by StageOne investors with participation from Mayo Clinic, Technion - Israel Institute of Technology, and Bradley Bloom, co-founder of Berkshire Partners. The company will also become a Mayo Clinic Platform portfolio company. This round brings the company's total financing to $85 million. Diagnostic Robotics uses AI based predictive models to help patients manage chronic conditions and reduce emergency room visits.