Commodities AI Ltd (ChAI), an AI-driven commodity intelligence company, has completed a seed round to expand its industry-leading services into new markets and provide real-time commodity price forecasts to new global audiences, including commodity companies and key supply chain providers. The funding announcement marks an important milestone in ChAI's product development and ability to provide important information to a range of stakeholders as commodity markets continue to experience significant volatility. Under current market conditions, supply chain providers need long-term forecasts to address global food security challenges. ChAI uses purpose-built AI technology to analyze thousands of data sets to determine what variables are driving market prices. At the same time, through the use of AI technology, the company is able to predict raw material costs, identify risks and help its customers to effectively purchase the necessary raw material products.

Gather AI, a startup using drones to inventory items in warehouses, today announced that it raised $10 million in a Series A round led by Tribeca Venture Partners with participation from Xplorer Capital, Dundee Venture Capital, Expa, Bling Capital, XRC Labs and 99 Tartans. The proceeds bring the company's total raised to $17 million, which CEO Sankalp Arora says is being put toward expanding Gather's deployment capacity and go-to-market plans as well as hiring new machine learning engineers. Arora co-founded Gather AI in 2019 with Daniel Maturana and Geetesh Dubey, graduate students at Carnegie Mellon's Robotics Institute. The trio had the idea to use drones to gather data -- specifically data in warehouses, such as the number of items on a shelf and the locations of particular pallets. Over the course of several years, they designed a prototype of an inventory monitoring system that used off-the-shelf autonomous drones, which became Gather's core product.

Intel Corp. is planning a major reduction in headcount, likely numbering in the thousands, to cut costs and cope with a sputtering personal-computer market, according to people with knowledge of the situation. The layoffs will be announced as early as this month, with the company planning to make the move around the same time as its third-quarter earnings report on Oct. 27, said the people, who asked not to be identified because the deliberations are private. The chipmaker had 113,700 employees as of July. Some divisions, including Intel's sales and marketing group, could see cuts affecting about 20% of staff, according to the people. Intel is facing a steep decline in demand for PC processors, its main business, and has struggled to win back market share lost to rivals like Advanced Micro Devices Inc.

WIRE)--Knightscope, Inc. (Nasdaq: KSCP) ("Knightscope" or the "Company"), a leading developer of autonomous security robots, today announced the signing of a definitive agreement to acquire CASE Emergency Systems ("CASE") and to close on the transaction during October. The acquisition is planned to boost the company's revenues while increasing its positive impact on the safety of communities nationwide. CASE is a leader in blue light emergency phones and an innovator in next generation wireless emergency communications technology, providing Knightscope with a strategic entry into a nationwide market. Audited full year results reflect CASE generated over $5.4 million of profitable revenue in 2021. The accretive transaction provides a significant increase in physical presence to Knightscope with over 7,000 devices currently deployed across the United States, 9 production and logistics facilities spread throughout California, Texas and New York, and a seasoned team located across 4 states.

Long thought of as a tool to increase efficiency and save costs, AI has now proven to be an innovation driver that enables business growth. According to our latest Accenture research on AI among 1,200 global companies, "AI Achievers"--those companies that are the most AI-mature--enjoy 50% greater revenue growth, clearly outpacing their competitors. Why, then, are most organizations (63%) stuck in the experimentation phase with AI? Because AI initiatives are often led with timidity and are hampered by "pilot-itis," a fixation on pilot projects at the expense of scale. Speaking to a select group of CEOs as part of the research revealed an opportunity--and the need--for companies' most senior leaders to increase their AI expertise.

Square Off charmed us at CES 2019, when the startup showed off its robotic chess board at our Hardware Battlefield event. Watching the pieces move on their own, courtesy of underlying AI, grabbed the attention of a jaded crowd of showgoers. This morning, it takes the next step in the startup lifecycle, as Bay Area-based kids robotics firm Miko announces that it has acquired a majority stake of 70% of the firm. "We're thrilled to join forces with Miko on this journey to revolutionize edutainment for kids," Square Off's co-founder and CEO, Bhavya Gohil, says in a short press release tied to the news. Miko, meanwhile, is a Disney Accelerator grad best known for its eponymous toy robot.

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.

In this article, we will discuss the 10 best machine learning stocks to invest in. If you want to explore similar stocks, you can also take a look at 5 Best Machine Learning Stocks To Invest In. According to an industry analysis report by Fortune Business Insights, the global machine learning industry was valued at $15.4 billion in 2021 and is expected to reach a value of over $21 billion in 2022. The machine learning industry is expected to grow at a compound annual growth rate of 38.8% from 2022 through 2029 and reach a value of $210 billion by the end of 2029. One of the major drivers of this growth is the increasing adoption of machine learning in a variety of industries including technology, healthcare, manufacturing, automotive, retail, advertising, automation, defense, and financial services among others.

Investors looking for the best robotics stocks to buy have a lot of things to consider. In response to the global pandemic, supply-chain bottlenecks, trade issues, and geopolitical tensions, most U.S.-based businesses are looking to relocate production closer to their domestic facilities. The nearshoring trend is already taking off, and robotics is expected to be a critical piece of the puzzle. Hence, robotics stocks should take off in a big way in the future. Swiss Tech Leader ABB recently revealed the results of a survey showing how more than 60% of the U.S. and European respondents are exploring reshoring and nearshoring operations to build resilience amidst global challenges.

It's no secret that agile companies, those that can quickly respond and pivot when necessary, fare better than those that falter when faced with uncertainty or change. A recent IDC global report shows that agile companies experience higher profits, revenue growth and impressive market share gains. They also have stronger employee retention rates, faster time to market and better customer experiences. Yet, being able to adapt to change and successfully deal with the unexpected requires a steadfast focus on the future, and many organizations today are too bogged down with the here-and-now to focus on what lies ahead. As company leaders increasingly search for ways to achieve agility and future-proof their businesses, automation technology is becoming a key initiative.