MIT commits $1 billion to AI education, research, development
Creates Stephen A. Schwarzman College of Computing to serve as focal point for interdisciplinary approach to studying computing, artificial intelligence and related fields.
The Massachusetts Institute of Technology said this week it has committed $1 billion to the study of computing and artificial intelligence (AI), establishing a College of Computing that will bring the power of AI and related technologies to other fields of study.
The initiative shines a light on the world-changing power of computing and AI, and marks the most significant structural change to MIT since the early 1950s, school spokespeople said.
A $350 million gift from philanthropist and investor Stephen A. Schwarzman establishes the MIT Stephen A. Schwarzman College of Computing, which will be located in a new building on MIT's campus. The college is scheduled to open in September 2019, with construction of the building to be completed in 2022.
"As computing reshapes our world, MIT intends to help make sure it does so for the good of all," MIT President L. Rafael Reif said in a statement announcing the initiative. "In keeping with the scope of this challenge, we are reshaping MIT. The MIT Schwarzman College of Computing will constitute both a global center for computing research and education, and an intellectual foundry for powerful new AI tools. Just as important, the College will equip students and researchers in any discipline to use computing and AI to advance their disciplines and vice-versa, as well as to think critically about the human impact of their work."
The college creates 50 new faculty positions: 25 in the College of Computing and 25 more joint positions with other departments. This nearly doubles MIT's academic capabilities in computing and AI, school spokespeople said.
On top of Schwarzman's gift, MIT has raised $300 million to support the project, giving it $650 million of the $1 billion required for the College.
MIT's initiative marks a structural change not seen since the 1950s, when it established schools for management and for the humanities and social sciences. It also marks a bold move forward in collaborative research already underway at MIT, said Ginni Rometty, chairman, president and CEO of IBM, a partner in the school's AI research.
"The establishment of the MIT Schwarzman College of Computing is an unprecedented investment in the promise of this technology," Rometty said in a statement. "It will build powerfully on the pioneering research taking place through the MIT-IBM Watson AI Lab. Together, we will continue to unlock the massive potential of AI and explore its ethical and economic impacts on society."
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."
Businesses are cautiously optimistic as peak holiday shipping season draws near, with many anticipating year-over-year sales increases as they continue to battle challenging supply chain conditions.
That’s according to the DHL 2024 Peak Season Shipping Survey, released today by express shipping service provider DHL Express U.S. The company surveyed small and medium-sized enterprises (SMEs) to gauge their holiday business outlook compared to last year and found that a mix of optimism and “strategic caution” prevail ahead of this year’s peak.
Nearly half (48%) of the SMEs surveyed said they expect higher holiday sales compared to 2023, while 44% said they expect sales to remain on par with last year, and just 8% said they foresee a decline. Respondents said the main challenges to hitting those goals are supply chain problems (35%), inflation and fluctuating consumer demand (34%), staffing (16%), and inventory challenges (14%).
But respondents said they have strategies in place to tackle those issues. Many said they began preparing for holiday season earlier this year—with 45% saying they started planning in Q2 or earlier, up from 39% last year. Other strategies include expanding into international markets (35%) and leveraging holiday discounts (32%).
Sixty percent of respondents said they will prioritize personalized customer service as a way to enhance customer interactions and loyalty this year. Still others said they will invest in enhanced web and mobile experiences (23%) and eco-friendly practices (13%) to draw customers this holiday season.
Census data showed that overall retail sales in October were up 0.4% seasonally adjusted month over month and up 2.8% unadjusted year over year. That compared with increases of 0.8% month over month and 2% year over year in September.
October’s core retail sales as defined by NRF — based on the Census data but excluding automobile dealers, gasoline stations and restaurants — were unchanged seasonally adjusted month over month but up 5.4% unadjusted year over year.
Core sales were up 3.5% year over year for the first 10 months of the year, in line with NRF’s forecast for 2024 retail sales to grow between 2.5% and 3.5% over 2023. NRF is forecasting that 2024 holiday sales during November and December will also increase between 2.5% and 3.5% over the same time last year.
“October’s pickup in retail sales shows a healthy pace of spending as many consumers got an early start on holiday shopping,” NRF Chief Economist Jack Kleinhenz said in a release. “October sales were a good early step forward into the holiday shopping season, which is now fully underway. Falling energy prices have likely provided extra dollars for household spending on retail merchandise.”
Despite that positive trend, market watchers cautioned that retailers still need to offer competitive value propositions and customer experience in order to succeed in the holiday season. “The American consumer has been more resilient than anyone could have expected. But that isn’t a free pass for retailers to under invest in their stores,” Nikki Baird, VP of strategy & product at Aptos, a solutions provider of unified retail technology based out of Alpharetta, Georgia, said in a statement. “They need to make investments in labor, customer experience tech, and digital transformation. It has been too easy to kick the can down the road until you suddenly realize there’s no road left.”
A similar message came from Chip West, a retail and consumer behavior expert at the marketing, packaging, print and supply chain solutions provider RRD. “October’s increase proved to be slightly better than projections and was likely boosted by lower fuel prices. As inflation slowed for a number of months, prices in several categories have stabilized, with some even showing declines, offering further relief to consumers,” West said. “The data also looks to be a positive sign as we kick off the holiday shopping season. Promotions and discounts will play a prominent role in holiday shopping behavior as they are key influencers in consumer’s purchasing decisions.”
Supply chains are poised for accelerated adoption of mobile robots and drones as those technologies mature and companies focus on implementing artificial intelligence (AI) and automation across their logistics operations.
That’s according to data from Gartner’s Hype Cycle for Mobile Robots and Drones, released this week. The report shows that several mobile robotics technologies will mature over the next two to five years, and also identifies breakthrough and rising technologies set to have an impact further out.
Gartner’s Hype Cycle is a graphical depiction of a common pattern that arises with each new technology or innovation through five phases of maturity and adoption. Chief supply chain officers can use the research to find robotic solutions that meet their needs, according to Gartner.
Gartner, Inc.
The mobile robotic technologies set to mature over the next two to five years are: collaborative in-aisle picking robots, light-cargo delivery robots, autonomous mobile robots (AMRs) for transport, mobile robotic goods-to-person systems, and robotic cube storage systems.
“As organizations look to further improve logistic operations, support automation and augment humans in various jobs, supply chain leaders have turned to mobile robots to support their strategy,” Dwight Klappich, VP analyst and Gartner fellow with the Gartner Supply Chain practice, said in a statement announcing the findings. “Mobile robots are continuing to evolve, becoming more powerful and practical, thus paving the way for continued technology innovation.”
Technologies that are on the rise include autonomous data collection and inspection technologies, which are expected to deliver benefits over the next five to 10 years. These include solutions like indoor-flying drones, which utilize AI-enabled vision or RFID to help with time-consuming inventory management, inspection, and surveillance tasks. The technology can also alleviate safety concerns that arise in warehouses, such as workers counting inventory in hard-to-reach places.
“Automating labor-intensive tasks can provide notable benefits,” Klappich said. “With AI capabilities increasingly embedded in mobile robots and drones, the potential to function unaided and adapt to environments will make it possible to support a growing number of use cases.”
Humanoid robots—which resemble the human body in shape—are among the technologies in the breakthrough stage, meaning that they are expected to have a transformational effect on supply chains, but their mainstream adoption could take 10 years or more.
“For supply chains with high-volume and predictable processes, humanoid robots have the potential to enhance or supplement the supply chain workforce,” Klappich also said. “However, while the pace of innovation is encouraging, the industry is years away from general-purpose humanoid robots being used in more complex retail and industrial environments.”