AI Insights
Arrive AI Transforms Package Delivery with Artificial Intelligence and Smart Sensors

Arrive AI (NASDAQ:ARAI), an autonomous delivery network anchored by patented Arrive Points™, is advancing how its devices harness time-of-flight (TOF) sensors to capture real-time data, cut costs and optimize delivery capacity.
By incorporating TOF sensors, Arrive AI aims to tackle one of the biggest bottlenecks in the delivery industry: inefficient pickups. Currently, couriers – human or autonomous – servicing large mailboxes at strip malls or office complexes follow an inefficient process. Each stop requires physically opening boxes to check for outgoing packages. With TOF-equipped Arrive Points, couriers will know in advance which mailboxes hold items and how much truck space is required. The result is fewer wasted stops, lower fuel and battery use, faster deliveries and reduced congestion.
Beyond logistics, the data can highlight courier efficiency, empowering users to choose the most reliable providers for their delivery or return needs.
“Time is money, and even small gains in logistics efficiency add up fast,” said Arrive AI CEO Dan O’Toole. “This is another way we’re improving the product and redefining the delivery experience for everyone.”
Torrey Bievenour, Arrive AI Chief Technology Officer, said Arrive AI’s research and development team will use TOF data and AI to detect patterns regarding package sizes, counts, delivery times, retrieval times and product times to help streamline supply chains.
The TOF sensors will provide low-resolution data that will be analyzed cost-effectively by edge AI. This eliminates the need for bulky cameras and expensive processors within the unit, freeing up more space inside Arrive Points for packages.
“We can do a lot with a little,” Bievenour said.
In 2014, O’Toole envisioned a smart mailbox that could accept drone deliveries and beat giant delivery companies to the U.S. Patent Office to protect his invention. He secured that patent in 2017 and has been refining it ever since. The mailboxes, now called Arrive Points, offer a climate-assisted space for deliveries from any human or autonomous courier that is connected to a platform capable of interacting with IoT devices and issuing emergency alerts.
In addition to the basic design and temperature control element, Arrive AI has secured U.S. patents that cover drone delivery management and tethering, anti-theft mechanisms and intelligent chain-of-custody control. The company has 58 patents pending for its Autonomous Last Mile solution filed across 22 countries and has secured several trademarks. See details at https://www.arriveai.com/intellectual-property .
About Arrive AI
Arrive AI’s patented Autonomous Last Mile (ALM) platform enables secure, efficient delivery to and from a smart, AI-powered mailbox, whether by drone, ground robot or human courier. The platform provides real-time tracking, smart logistics alerts and advanced chain of custody controls to support shippers, delivery services and autonomous networks. By combining artificial intelligence with autonomous technology, Arrive AI makes the exchange of goods between people, robots and drones frictionless and convenient. Its system integrates with smart home devices such as doorbells, lighting and security systems to streamline the entire last-mile delivery experience. Learn more at www.arriveai.com and via the company’s press kit .
Media contact: Cheryl Reed, [email protected]
Investor Relations Contact: Alliance Advisors IR, [email protected]
Cautionary Note Regarding Forward Looking Statements
This news release and statements of the effectiveness and reliability of the TOF sensors in connection with this news release or related events contain or may contain “forward-looking statements” within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and the Private Securities Litigation Reform Act of 1995. In this context, forward-looking statements mean statements related to future events, which may impact our expected future business and financial performance, and often contain words such as “expects”, “anticipates”, “intends”, “plans”, “believes”, “potential”, “will”, “should”, “could”, “would”, “optimistic” or “may” and other words of similar meaning. These forward-looking statements are based on information available to us as of the date of this news release and represent management’s current views and assumptions. Forward-looking statements are not guarantees of future performance, events or results and involve significant known and unknown risks, uncertainties and other factors which may be beyond our control. Readers are cautioned not to place undue reliance on these forward-looking statements, which apply only as of the date of this news release. Potential investors should review Arrive AI’s Registration Statement and other filings with the Securities and Exchange Commission, for more complete information, including the risk factors that may affect future results, which are available for review at www.sec.gov . Accordingly, forward-looking statements should not be relied upon as a predictor of actual results. We do not undertake to update our forward-looking statements to reflect events or circumstances that may arise after the date of this news release, except as required by law.
AI Insights
Microsoft Says Azure Service Affected by Damaged Red Sea Cables

Microsoft Corp. said on Saturday that clients of its Azure cloud platform may experience increased latency after multiple international cables in the Red Sea were cut.
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AI Insights
Geoffrey Hinton says AI will cause massive unemployment and send profits soaring

Pioneering computer scientist Geoffrey Hinton, whose work has earned him a Nobel Prize and the moniker “godfather of AI,” said artificial intelligence will spark a surge in unemployment and profits.
In a wide-ranging interview with the Financial Times, the former Google scientist cleared the air about why he left the tech giant, raised alarms on potential threats from AI, and revealed how he uses the technology. But he also predicted who the winners and losers will be.
“What’s actually going to happen is rich people are going to use AI to replace workers,” Hinton said. “It’s going to create massive unemployment and a huge rise in profits. It will make a few people much richer and most people poorer. That’s not AI’s fault, that is the capitalist system.”
That echos comments he gave to Fortune last month, when he said AI companies are more concerned with short-term profits than the long-term consequences of the technology.
For now, layoffs haven’t spiked, but evidence is mounting that AI is shrinking opportunities, especially at the entry level where recent college graduates start their careers.
A survey from the New York Fed found that companies using AI are much more likely to retrain their employees than fire them, though layoffs are expected to rise in the coming months.
Hinton said earlier that healthcare is the one industry that will be safe from the potential jobs armageddon.
“If you could make doctors five times as efficient, we could all have five times as much health care for the same price,” he explained on the Diary of a CEO YouTube series in June. “There’s almost no limit to how much health care people can absorb—[patients] always want more health care if there’s no cost to it.”
Still, Hinton believes that jobs that perform mundane tasks will be taken over by AI, while sparing some jobs that require a high level of skill.
In his interview with the FT, he also dismissed OpenAI CEO Sam Altman’s idea to pay a universal basic income as AI disrupts the economy and reduce demand for workers, saying it “won’t deal with human dignity” and the value people derive from having jobs.
Hinton has long warned about the dangers of AI without guardrails, estimating a 10% to 20% chance of the technology wiping out humans after the development of superintelligence.
In his view, the dangers of AI fall into two categories: the risk the technology itself poses to the future of humanity, and the consequences of AI being manipulated by people with bad intent.
In his FT interview, he warned AI could help someone build a bioweapon and lamented the Trump administration’s unwillingness to regulate AI more closely, while China is taking the threat more seriously. But he also acknowledged potential upside from AI amid its immense possibilities and uncertainties.
“We don’t know what is going to happen, we have no idea, and people who tell you what is going to happen are just being silly,” Hinton said. “We are at a point in history where something amazing is happening, and it may be amazingly good, and it may be amazingly bad. We can make guesses, but things aren’t going to stay like they are.”
Meanwhile, he told the FT how he uses AI in his own life, saying OpenAI’s ChatGPT is his product of choice. While he mostly uses the chatbot for research, Hinton revealed that a former girlfriend used ChatGPT “to tell me what a rat I was” during their breakup.
“She got the chatbot to explain how awful my behavior was and gave it to me. I didn’t think I had been a rat, so it didn’t make me feel too bad . . . I met somebody I liked more, you know how it goes,” he quipped.
Hinton also explained why he left Google in 2023. While media reports have said he quit so he could speak more freely about the dangers of AI, the 77-year-old Nobel laureate denied that was the reason.
“I left because I was 75, I could no longer program as well as I used to, and there’s a lot of stuff on Netflix I haven’t had a chance to watch,” he said. “I had worked very hard for 55 years, and I felt it was time to retire . . . And I thought, since I am leaving anyway, I could talk about the risks.”
AI Insights
NFL player props, odds, bets: Week 1, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP

The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league’s biggest stars. From the 13 games on Sunday to Monday Night Football, you’ll have no shortage of player props to wager on. There are several players returning from injury-plagued seasons a year ago who want to start 2025 off on the right note, including Trevor Lawrence, Alvin Kamara and Stefon Diggs. Their Week 1 NFL prop odds could be a bit off considering how last year ended, and this could be an opportunity to cash in.
Kamara has a rushing + receiving yards NFL prop total of 93.5 (-112/-114) versus Arizona on Sunday after the running back averaged 106.6 scrimmage yards in 2024. The Cardinals allowed the eighth-most rushing yards per game to running backs last year, in addition to giving up the eighth-most receiving yards per game to the position.
Before making any Week 1 NFL prop bets on Kamara’s Overs, you also have to remember he’s now 30, playing under a first-year head coach and has a young quarterback who’s winless in six career starts. If you are looking for NFL prop bets or NFL parlays for Week 1, SportsLine has you covered with the top Week 1 player props from its Machine Learning Model AI.
Built using cutting-edge artificial intelligence and machine learning techniques by SportsLine’s Data Science team, AI Predictions and AI Ratings are generated for each player prop.
Now, with the Week 1 NFL schedule quickly approaching, SportsLine’s Machine Learning Model AI has identified the top NFL props from the biggest Week 1 games.
Week 1 NFL props for Sunday’s main slate
After analyzing the NFL props from Sunday’s main slate and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Bengals WR Tee Higgins goes Under 63.5 receiving yards (-114) versus the Browns in a 1 p.m. ET kickoff. Excluding a 2022 game in which he played just one snap, Higgins has been held under 60 receiving yards in three of his last four meetings with Cleveland.
Entering his sixth NFL season, Higgins has never had more than 58 yards in any Week 1 game, including going catchless on eight targets versus the Browns in Week 1 of 2023. The SportsLine Machine Learning Model projects 44.4 yards for Higgins in a 5-star pick. See more Week 1 NFL props here.
Week 1 NFL props for Bills vs. Ravens on Sunday Night Football
After analyzing Ravens vs. Bills props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Ravens QB Lamar Jackson goes Over 233.5 passing yards (-114). The last time Jackson took the field was against Buffalo in last season’s playoffs, and the two-time MVP had 254 passing yards and a pair of touchdowns through the air. The SportsLine Machine Learning Model projects Jackson to blow past his total with 280.2 yards on average in a 4.5-star prop pick. See more NFL props for Ravens vs. Bills here.
You can make NFL prop bets on Jackson and others with the Underdog Fantasy promo code CBSSPORTS2. Bet at Underdog Fantasy and get $50 in bonus bets after making a $5 bet:
Week 1 NFL props for Bears vs. Vikings on Monday Night Football
After analyzing Vikings vs. Bears props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Bears QB Caleb Williams goes Under 218.5 passing yards (-114). Primetime games like what he’ll see on Sunday night weren’t too favorable to Williams as a rookie. He lost all three he played in, had one total passing score across them, was sacked an average of 5.3 times and, most relevant to this NFL prop, Williams failed to reach even 200 passing yards in any of the three. The SportsLine Machine Learning Model forecasts him to finish with just 174.8 passing yards, making Under 218.5 a 4.5-star NFL prop. See more NFL props for Vikings vs. Bears here.
You can also use the latest FanDuel promo code to get $300 in bonus bets instantly:
How to make Week 1 NFL prop picks
SportsLine’s Machine Learning Model has identified another star who sails past his total and has dozens of NFL props rated 4 stars or better. You need to see the Machine Learning Model analysis before making any Week 1 NFL prop bets.
Which NFL prop picks should you target for Week 1, and which star player has multiple 5-star rated picks? Visit SportsLine to see the latest NFL player props from SportsLine’s Machine Learning Model that uses cutting-edge artificial intelligence to make its projections.
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